ConsoleFacade.java 86 KB

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  1. package com.diagbot.facade;
  2. import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
  3. import com.baomidou.mybatisplus.core.metadata.IPage;
  4. import com.baomidou.mybatisplus.extension.plugins.pagination.Page;
  5. import com.diagbot.aggregate.AverageStatisticsAggregate;
  6. import com.diagbot.aggregate.MrStatisticsAggregate;
  7. import com.diagbot.aggregate.ResultStatisticsAggregate;
  8. import com.diagbot.dto.*;
  9. import com.diagbot.entity.QcCasesEntry;
  10. import com.diagbot.entity.SysHospitalSet;
  11. import com.diagbot.exception.CommonErrorCode;
  12. import com.diagbot.exception.CommonException;
  13. import com.diagbot.util.*;
  14. import com.diagbot.vo.*;
  15. import com.google.common.collect.Lists;
  16. import io.github.lvyahui8.spring.aggregate.facade.DataBeanAggregateQueryFacade;
  17. import org.apache.ibatis.annotations.Param;
  18. import org.springframework.beans.factory.annotation.Autowired;
  19. import org.springframework.stereotype.Component;
  20. import java.math.BigDecimal;
  21. import java.math.RoundingMode;
  22. import java.text.DecimalFormat;
  23. import java.util.*;
  24. import java.util.stream.Collectors;
  25. /**
  26. * @Description:
  27. * @Author:zhaops
  28. * @time: 2020/4/13 16:45
  29. */
  30. @Component
  31. public class ConsoleFacade {
  32. @Autowired
  33. private FilterFacade filterFacade;
  34. @Autowired
  35. private DataBeanAggregateQueryFacade dataBeanAggregateQueryFacade;
  36. @Autowired
  37. private AverageStatisticsAggregate averageStatisticsAggregate;
  38. @Autowired
  39. private MrStatisticsAggregate mrStatisticsAggregate;
  40. @Autowired
  41. private ResultStatisticsAggregate resultStatisticsAggregate;
  42. @Autowired
  43. private QcresultInfoFacade qcresultInfoFacade;
  44. @Autowired
  45. private HomePageFacade homePageFacade;
  46. @Autowired
  47. private BehospitalInfoFacade behospitalInfoFacade;
  48. @Autowired
  49. private SysHospitalSetFacade sysHospitalSetFacade;
  50. @Autowired
  51. private QcCasesEntryFacade qcCasesEntryFacade;
  52. //region-----------------------聚合接口开始-------------------------------
  53. /**
  54. * 病历相关统计
  55. *
  56. * @param filterVO
  57. * @return
  58. */
  59. public Map<String, Object> mrStatistics(FilterVO filterVO) {
  60. Map<String, Object> retMap = new LinkedHashMap<>();
  61. filterFacade.filterVOSet(filterVO);
  62. try {
  63. Map<String, Object> invokeParams = new HashMap<>();
  64. invokeParams.put("filterVO", filterVO);
  65. retMap
  66. = dataBeanAggregateQueryFacade.get("setAllMr", invokeParams, Map.class);
  67. } catch (Exception e) {
  68. throw new CommonException(CommonErrorCode.SERVER_IS_ERROR);
  69. }
  70. return retMap;
  71. }
  72. /**
  73. * 缺陷相关统计
  74. *
  75. * @param filterVO
  76. * @return
  77. */
  78. public Map<String, Object> resultStatistics(FilterVO filterVO) {
  79. Map<String, Object> retMap = new LinkedHashMap<>();
  80. filterFacade.filterVOSet(filterVO);
  81. try {
  82. Map<String, Object> invokeParams = new HashMap<>();
  83. invokeParams.put("filterVO", filterVO);
  84. retMap
  85. = dataBeanAggregateQueryFacade.get("setAllResult", invokeParams, Map.class);
  86. } catch (Exception e) {
  87. throw new CommonException(CommonErrorCode.SERVER_IS_ERROR);
  88. }
  89. return retMap;
  90. }
  91. /**
  92. * 平局值相关统计
  93. *
  94. * @param filterVO
  95. * @return
  96. */
  97. public Map<String, Object> averageStatistics(FilterVO filterVO) {
  98. Map<String, Object> retMap = new LinkedHashMap<>();
  99. filterFacade.filterVOSet(filterVO);
  100. try {
  101. Map<String, Object> invokeParams = new HashMap<>();
  102. invokeParams.put("filterVO", filterVO);
  103. retMap
  104. = dataBeanAggregateQueryFacade.get("setAllAverage", invokeParams, Map.class);
  105. } catch (Exception e) {
  106. throw new CommonException(CommonErrorCode.SERVER_IS_ERROR);
  107. }
  108. return retMap;
  109. }
  110. //endregion-----------------------聚合接口结束-------------------------------
  111. //region-----------------------单独接口开始-------------------------------
  112. /**
  113. * 平均住院天数
  114. *
  115. * @param filterVO
  116. * @return
  117. */
  118. public Map<String, Object> getAverageDayNum(FilterVO filterVO) {
  119. Map<String, Object> retMap = new HashMap<>();
  120. filterFacade.filterVOSet(filterVO);
  121. List<AverageStatisticsDTO> averageDayNumList = averageStatisticsAggregate.getAverageDayNum(filterVO);
  122. if (ListUtil.isNotEmpty(averageDayNumList)) {
  123. retMap.put("平均住院日", averageDayNumList);
  124. }
  125. return retMap;
  126. }
  127. /**
  128. * 平均住院费用
  129. *
  130. * @param filterVO
  131. * @return
  132. */
  133. public Map<String, Object> getAverageFee(FilterVO filterVO) {
  134. Map<String, Object> retMap = new HashMap<>();
  135. filterFacade.filterVOSet(filterVO);
  136. List<AverageStatisticsDTO> averageFeeList = averageStatisticsAggregate.getAverageFee(filterVO);
  137. if (ListUtil.isNotEmpty(averageFeeList)) {
  138. retMap.put("平均住院费用", averageFeeList);
  139. }
  140. return retMap;
  141. }
  142. /**
  143. * 质控平均分按科室统计
  144. *
  145. * @param filterVO
  146. * @return
  147. */
  148. public Map<String, Object> getAverageScore(FilterVO filterVO) {
  149. Map<String, Object> retMap = new HashMap<>();
  150. filterFacade.filterVOSame(filterVO);
  151. List<AverageStatisticsDTO> averageScoreList = averageStatisticsAggregate.getAverageScore(filterVO);
  152. AverageStatisticsDTO item = getGlobleAverageTitle(averageScoreList);
  153. if (item != null) {
  154. averageScoreList.add(0, item);
  155. }
  156. if (ListUtil.isNotEmpty(averageScoreList)) {
  157. retMap.put("各科室质控平均分", averageScoreList);
  158. }
  159. return retMap;
  160. }
  161. /**
  162. * 增加全院记录
  163. *
  164. * @param records
  165. * @return
  166. */
  167. public AverageStatisticsDTO getGlobleAverageTitle(List<AverageStatisticsDTO> records) {
  168. DecimalFormat df = new DecimalFormat("#0.00");
  169. AverageStatisticsDTO item = new AverageStatisticsDTO();
  170. if (ListUtil.isEmpty(records)) {
  171. return null;
  172. }
  173. //数量
  174. Integer num = records
  175. .stream()
  176. .map(AverageStatisticsDTO::getNum)
  177. .reduce(0, Integer::sum);
  178. //同期数量
  179. Integer sameNum = records
  180. .stream()
  181. .map(AverageStatisticsDTO::getSameNum)
  182. .reduce(0, Integer::sum);
  183. Double totleValue = records
  184. .stream()
  185. .map(i -> BigDecimal.valueOf(i.getTotleValue()))
  186. .reduce(BigDecimal.ZERO, BigDecimal::add)
  187. .doubleValue();
  188. Double sameTotleValue = records
  189. .stream()
  190. .map(i -> BigDecimal.valueOf(i.getSameTotleValue()))
  191. .reduce(BigDecimal.ZERO, BigDecimal::add)
  192. .doubleValue();
  193. Double averageValue = 0d;
  194. if(0 != num){
  195. averageValue = BigDecimal.valueOf(totleValue)
  196. .divide(BigDecimal.valueOf(num), 2, RoundingMode.HALF_UP)
  197. .doubleValue();
  198. }
  199. Double lastYearAverageValue = 0d;
  200. if(0 != sameNum) {
  201. lastYearAverageValue = BigDecimal.valueOf(sameTotleValue)
  202. .divide(BigDecimal.valueOf(sameNum), 2, RoundingMode.HALF_UP)
  203. .doubleValue();
  204. }
  205. item.setName("全院");
  206. item.setNum(num);
  207. item.setSameNum(sameNum);
  208. item.setAverageValue(averageValue);
  209. item.setTotleValue(totleValue);
  210. item.setSameTotleValue(sameTotleValue);
  211. item.setLastYearAverageValue(lastYearAverageValue);
  212. return item;
  213. }
  214. /**
  215. * 各科室质控平均分(首页)-根据内外科系统统计
  216. *
  217. * @param filterVO
  218. * @return
  219. */
  220. public List<AverageStatisticsDTO> getAverageScoreByDeptClass(FilterVO filterVO) {
  221. filterFacade.filterVOSame(filterVO);
  222. List<AverageStatisticsDTO> retAverageScoreList = Lists.newLinkedList();
  223. List<AverageStatisticsDTO> averageScoreList = qcresultInfoFacade.getAverageScoreByDeptClass(filterVO);
  224. Integer limitCount = filterVO.getLimitCount();
  225. //质控平均分
  226. if (ListUtil.isNotEmpty(averageScoreList)) {
  227. retAverageScoreList = averageStatisticsAggregate.getLimitAverageList(averageScoreList, limitCount);
  228. }
  229. AverageStatisticsDTO item = getGlobleInOutTitle(retAverageScoreList,filterVO);
  230. if (item != null) {
  231. retAverageScoreList.add(0, item);
  232. }
  233. return retAverageScoreList;
  234. }
  235. /**
  236. * 增加内外科记录
  237. *
  238. * @param records
  239. * @return
  240. */
  241. public AverageStatisticsDTO getGlobleInOutTitle(List<AverageStatisticsDTO> records,FilterVO filterVO) {
  242. DecimalFormat df = new DecimalFormat("#0.00");
  243. AverageStatisticsDTO item = new AverageStatisticsDTO();
  244. if (ListUtil.isEmpty(records)) {
  245. return null;
  246. }
  247. //数量
  248. Integer num = records
  249. .stream()
  250. .map(AverageStatisticsDTO::getNum)
  251. .reduce(0, Integer::sum);
  252. //同期数量
  253. Integer sameNum = records
  254. .stream()
  255. .map(AverageStatisticsDTO::getSameNum)
  256. .reduce(0, Integer::sum);
  257. Double totleValue = records
  258. .stream()
  259. .map(i -> BigDecimal.valueOf(i.getTotleValue()))
  260. .reduce(BigDecimal.ZERO, BigDecimal::add)
  261. .doubleValue();
  262. Double sameTotleValue = records
  263. .stream()
  264. .map(i -> BigDecimal.valueOf(i.getSameTotleValue()))
  265. .reduce(BigDecimal.ZERO, BigDecimal::add)
  266. .doubleValue();
  267. Double averageValue = 0d;
  268. if(0 != num){
  269. averageValue = BigDecimal.valueOf(totleValue)
  270. .divide(BigDecimal.valueOf(num), 2, RoundingMode.HALF_UP)
  271. .doubleValue();
  272. }
  273. Double lastYearAverageValue = 0d;
  274. if(0 != sameNum) {
  275. lastYearAverageValue = BigDecimal.valueOf(sameTotleValue)
  276. .divide(BigDecimal.valueOf(sameNum), 2, RoundingMode.HALF_UP)
  277. .doubleValue();
  278. }
  279. if("内科".equals(filterVO.getDeptClass())){
  280. item.setName("内科系统");
  281. }else{
  282. item.setName("外科系统");
  283. }
  284. item.setNum(num);
  285. item.setSameNum(sameNum);
  286. item.setAverageValue(averageValue);
  287. item.setTotleValue(totleValue);
  288. item.setSameTotleValue(sameTotleValue);
  289. item.setLastYearAverageValue(lastYearAverageValue);
  290. return item;
  291. }
  292. /**
  293. * 各科室甲级病历占比
  294. *
  295. * @param filterVO
  296. * @return
  297. */
  298. public Map<String, Object> getLevelResultDept(FilterVO filterVO) {
  299. Map<String, Object> retMap = new HashMap<>();
  300. filterFacade.filterVOSet(filterVO);
  301. List<QcResultPercentDTO> levelResults = mrStatisticsAggregate.getLevelResultDept(filterVO);
  302. if (ListUtil.isNotEmpty(levelResults)) {
  303. retMap.put("各科室甲级病历占比", levelResults);
  304. }
  305. return retMap;
  306. }
  307. /**
  308. * 出院人数统计
  309. *
  310. * @param filterVO
  311. * @return
  312. */
  313. public Map<String, Object> leaveHosCount(FilterVO filterVO) {
  314. Map<String, Object> retMap = new HashMap<>();
  315. filterFacade.filterVOSet(filterVO);
  316. Map<String, Object> leaveHosMap = new HashMap<>();
  317. try {
  318. Map<String, Object> invokeParams = new HashMap<>();
  319. invokeParams.put("filterVO", filterVO);
  320. leaveHosMap
  321. = dataBeanAggregateQueryFacade.get("setAllLeaveHos", invokeParams, Map.class);
  322. } catch (Exception e) {
  323. throw new CommonException(CommonErrorCode.SERVER_IS_ERROR);
  324. }
  325. if (leaveHosMap != null) {
  326. retMap.put("出院人数统计", leaveHosMap);
  327. }
  328. return retMap;
  329. }
  330. /**
  331. * 质控病历统计
  332. *
  333. * @param filterVO
  334. * @return
  335. */
  336. public Map<String, Object> mrCount(FilterVO filterVO) {
  337. Map<String, Object> retMap = new HashMap<>();
  338. filterFacade.filterVOSet(filterVO);
  339. List<NumDTO> mrCountList = mrStatisticsAggregate.mrCount(filterVO);
  340. if (ListUtil.isNotEmpty(mrCountList)) {
  341. retMap.put("病历数统计", mrCountList);
  342. }
  343. return retMap;
  344. }
  345. /**
  346. * 各模块缺陷占比排行
  347. *
  348. * @param filterVO
  349. * @return
  350. */
  351. public Map<String, Object> entryCountGroupByCase(FilterVO filterVO) {
  352. Map<String, Object> retMap = new HashMap<>();
  353. filterFacade.filterVOSet(filterVO);
  354. List<NumDTO> caseList = resultStatisticsAggregate.entryCountGroupByCase(filterVO);
  355. if (ListUtil.isNotEmpty(caseList)) {
  356. retMap.put("各模块缺陷占比排行", caseList);
  357. }
  358. return retMap;
  359. }
  360. /**
  361. * 条目缺陷占比
  362. *
  363. * @param filterVO
  364. * @return
  365. */
  366. public Map<String, Object> entryCountGroupByEntry(FilterVO filterVO) {
  367. Map<String, Object> retMap = new HashMap<>();
  368. filterFacade.filterVOSet(filterVO);
  369. List<NumDTO> entryList = resultStatisticsAggregate.entryCountGroupByEntry(filterVO);
  370. if (ListUtil.isNotEmpty(entryList)) {
  371. retMap.put("条目缺陷占比", entryList);
  372. }
  373. return retMap;
  374. }
  375. /**
  376. * 单项否决缺陷占比
  377. *
  378. * @param filterVO
  379. * @return
  380. */
  381. public List<EntryNumDTO> entryRejectPercent(FilterVO filterVO) {
  382. List<EntryNumDTO> retList = Lists.newLinkedList();
  383. filterFacade.filterVOSet(filterVO);
  384. Integer limitCount = filterVO.getLimitCount();
  385. List<EntryNumDTO> numDTOList = qcresultInfoFacade.entryRejectPercent(filterVO);
  386. if (ListUtil.isNotEmpty(numDTOList)) {
  387. if (numDTOList.size() <= limitCount) {
  388. retList = numDTOList;
  389. } else {
  390. retList = numDTOList.subList(0, limitCount);
  391. }
  392. }
  393. return retList;
  394. }
  395. /**
  396. * 各科室甲/乙/丙级病历占比
  397. *
  398. * @param filterVO
  399. * @return
  400. */
  401. public List<DeptNumDTO> qcResultLevelPercent(FilterVO filterVO) {
  402. if (StringUtil.isBlank(filterVO.getLevel())) {
  403. throw new CommonException(CommonErrorCode.PARAM_IS_NULL, "请输入病历等级");
  404. }
  405. List<DeptNumDTO> retList = Lists.newLinkedList();
  406. filterFacade.filterVOSet(filterVO);
  407. Integer limitCount = filterVO.getLimitCount();
  408. List<DeptNumDTO> numDTOList = qcresultInfoFacade.qcResultLevelPercent(filterVO);
  409. if (ListUtil.isNotEmpty(numDTOList)) {
  410. if (numDTOList.size() <= limitCount) {
  411. retList = numDTOList;
  412. } else {
  413. retList = numDTOList.subList(0, limitCount);
  414. }
  415. }
  416. return retList;
  417. }
  418. /**
  419. * 各科室缺陷占比
  420. *
  421. * @param filterVO
  422. * @return
  423. */
  424. public Map<String, Object> entryByDept(FilterVO filterVO) {
  425. Map<String, Object> retMap = new HashMap<>();
  426. filterFacade.filterVOSet(filterVO);
  427. List<NumDTO> deptList = resultStatisticsAggregate.entryByDept(filterVO);
  428. if (ListUtil.isNotEmpty(deptList)) {
  429. retMap.put("各科室缺陷占比", deptList);
  430. }
  431. return retMap;
  432. }
  433. //endregion-----------------------单独接口结束-------------------------------
  434. //region_______________________分页接口开始-------------------------------
  435. /**
  436. * 各模块缺陷占比(分页)
  437. *
  438. * @param filterPageVO
  439. * @return
  440. */
  441. public IPage<NumDTO> entryCountGroupByCasePage(FilterPageVO filterPageVO) {
  442. filterFacade.filterPageVOSet(filterPageVO);
  443. IPage<NumDTO> page = qcresultInfoFacade.entryCountGroupByCasePage(filterPageVO);
  444. return page;
  445. }
  446. /**
  447. * 缺陷详情(分页)
  448. *
  449. * @param filterPageVO
  450. * @return
  451. */
  452. public IPage<EntryNumGroupDTO> entryCountGroupByEntryPage(FilterPageVO filterPageVO) {
  453. filterFacade.filterPageVOSet(filterPageVO);
  454. if (filterPageVO.getDeptName().equals("全院")) {
  455. filterPageVO.setDeptName("");
  456. }
  457. IPage<EntryNumGroupDTO> page = qcresultInfoFacade.entryCountGroupByEntryPage(filterPageVO);
  458. return page;
  459. }
  460. /**
  461. * 按科室统计平均住院天数(分页)
  462. *
  463. * @param filterPageByAverageVO
  464. * @return
  465. */
  466. public IPage<AverageStatisticsDTO> getAverageDayNumPage(FilterPageByAverageVO filterPageByAverageVO) {
  467. filterFacade.filterPageByAverageVOSet(filterPageByAverageVO);
  468. IPage<AverageStatisticsDTO> page = homePageFacade.getAverageDayNumPage(filterPageByAverageVO);
  469. return page;
  470. }
  471. /**
  472. * 按科室统计平均住院费用(分页)
  473. *
  474. * @param filterPageByAverageVO
  475. * @return
  476. */
  477. public IPage<AverageStatisticsFeeDTO> getAverageFeePage(FilterPageByAverageVO filterPageByAverageVO) {
  478. filterFacade.filterPageByAverageVOSet(filterPageByAverageVO);
  479. IPage<AverageStatisticsFeeDTO> page = homePageFacade.getAverageFeePage(filterPageByAverageVO);
  480. return page;
  481. }
  482. /**
  483. * 各科室质控平均分(分页)
  484. *
  485. * @param filterPageVO
  486. * @return
  487. */
  488. public IPage<AverageStatisticsDTO> getAverageScoreByDeptPage(FilterPageVO filterPageVO) {
  489. filterFacade.filterPageVOSet(filterPageVO);
  490. IPage<AverageStatisticsDTO> page = qcresultInfoFacade.getAverageScoreByDeptPage(filterPageVO);
  491. return page;
  492. }
  493. /**
  494. * 各科室缺陷占比排行(分页)
  495. *
  496. * @param filterPageVO
  497. * @return
  498. */
  499. public IPage<NumDTO> resultStatisticsByDeptPage(FilterPageVO filterPageVO) {
  500. filterFacade.filterPageVOSet(filterPageVO);
  501. IPage<NumDTO> page = behospitalInfoFacade.resultStatisticsByDeptPage(filterPageVO);
  502. return page;
  503. }
  504. /**
  505. * 各科室甲级病历占比排行(分页)
  506. *
  507. * @param filterPageVO
  508. * @return
  509. */
  510. public IPage<QcResultPercentDTO> levelPercentGroupByDeptPage(FilterPageVO filterPageVO) {
  511. filterFacade.filterPageVOSet(filterPageVO);
  512. IPage<QcResultPercentDTO> page = qcresultInfoFacade.levelPercentGroupByDeptPage(filterPageVO);
  513. return page;
  514. }
  515. /**
  516. * 条目缺陷占比(内页)
  517. *
  518. * @param filterPageVO
  519. * @return
  520. */
  521. public IPage<EntryNumDTO> entryGroupByEntryInnerPage(FilterPageVO filterPageVO) {
  522. filterFacade.filterPageVOSet(filterPageVO);
  523. IPage<EntryNumDTO> page = qcresultInfoFacade.entryGroupByEntryInnerPage(filterPageVO);
  524. return page;
  525. }
  526. //endregion-----------------------分页接口结束-------------------------------
  527. /**
  528. * 各科室缺陷占比(组合)
  529. *
  530. * @param filterOrderVO
  531. * @return
  532. */
  533. public List<LevelStatisticsDTO> levelStatistics(FilterOrderVO filterOrderVO) {
  534. filterFacade.filterOrderVOSame(filterOrderVO);
  535. List<LevelStatisticsDTO> records = behospitalInfoFacade.levelStatistics(filterOrderVO);
  536. //没有科室过滤时增加全院数据
  537. if (StringUtil.isBlank(filterOrderVO.getDeptName()) || filterOrderVO.getDeptName().equals("全院")) {
  538. LevelStatisticsDTO item = getGlobleTitle(records);
  539. if (item != null) {
  540. records.add(0, item);
  541. }
  542. }
  543. if(ListUtil.isNotEmpty(records)){
  544. for (LevelStatisticsDTO record : records) {
  545. BigDecimalMethod(record);
  546. }
  547. }
  548. return records;
  549. }
  550. /**
  551. * 各科室缺陷占比(组合)-导出
  552. *
  553. * @param filterOrderVO
  554. * @return
  555. */
  556. public List<LevelStatisticsDTO> levelStatisticsStr(FilterOrderVO filterOrderVO) {
  557. filterFacade.filterOrderVOSame(filterOrderVO);
  558. List<LevelStatisticsDTO> records = behospitalInfoFacade.levelStatistics(filterOrderVO);
  559. //没有科室过滤时增加全院数据
  560. if (StringUtil.isBlank(filterOrderVO.getDeptName()) || filterOrderVO.getDeptName().equals("全院")) {
  561. LevelStatisticsDTO item = getGlobleTitle(records);
  562. if (item != null) {
  563. records.add(0, item);
  564. }
  565. }
  566. if(ListUtil.isNotEmpty(records)){
  567. for (LevelStatisticsDTO record : records) {
  568. BigDecimalStrExport(record);
  569. }
  570. }
  571. return records;
  572. }
  573. /**
  574. * 增加全院记录
  575. *
  576. * @param records
  577. * @return
  578. */
  579. public LevelStatisticsDTO getGlobleTitle(List<LevelStatisticsDTO> records) {
  580. DecimalFormat df = new DecimalFormat("#0.00");
  581. LevelStatisticsDTO item = new LevelStatisticsDTO();
  582. if (ListUtil.isEmpty(records)) {
  583. return null;
  584. }
  585. //缺陷总数
  586. Integer entryNum = records
  587. .stream()
  588. .map(LevelStatisticsDTO::getEntryNum)
  589. .reduce(0, Integer::sum);
  590. if (entryNum == null || entryNum == 0) {
  591. return null;
  592. }
  593. //同比总数
  594. Integer sameNum = records
  595. .stream()
  596. .map(LevelStatisticsDTO::getSameNum)
  597. .reduce(0, Integer::sum);
  598. //质控病历数
  599. Integer mrNum = records
  600. .stream()
  601. .map(LevelStatisticsDTO::getMrNum)
  602. .reduce(0, Integer::sum);
  603. //同比病历数
  604. Integer sameMrNum = records
  605. .stream()
  606. .map(LevelStatisticsDTO::getSameMrNum)
  607. .reduce(0, Integer::sum);
  608. //质控评分
  609. Double totleValue = records
  610. .stream()
  611. .map(i -> BigDecimal.valueOf(i.getTotleValue()))
  612. .reduce(BigDecimal.ZERO, BigDecimal::add)
  613. .doubleValue();
  614. //同比质控评分
  615. Double sameTotleValue = records
  616. .stream()
  617. .map(i -> BigDecimal.valueOf(i.getSameTotleValue()))
  618. .reduce(BigDecimal.ZERO, BigDecimal::add)
  619. .doubleValue();
  620. //质控平均分
  621. Double averageValue = BigDecimal.valueOf(totleValue)
  622. .divide(BigDecimal.valueOf(mrNum), 2, RoundingMode.HALF_UP)
  623. .doubleValue();
  624. Double sameAvgValue = 0d;
  625. //同比平均分
  626. if(0d != sameTotleValue){
  627. sameAvgValue = BigDecimal.valueOf(sameTotleValue)
  628. .divide(BigDecimal.valueOf(sameMrNum), 2, RoundingMode.HALF_UP)
  629. .doubleValue();
  630. }
  631. //甲级病历数
  632. Integer firstLevelNum = records
  633. .stream()
  634. .map(LevelStatisticsDTO::getFirstLevelNum)
  635. .reduce(0, Integer::sum);
  636. //同比甲级病历数
  637. Integer sameFirstLevelNum = records
  638. .stream()
  639. .map(LevelStatisticsDTO::getSameFirstLevelNum)
  640. .reduce(0, Integer::sum);
  641. //乙级病历数
  642. Integer secondLevelNum = records
  643. .stream()
  644. .map(LevelStatisticsDTO::getSecondLevelNum)
  645. .reduce(0, Integer::sum);
  646. //同比乙级病历数
  647. Integer sameSecondLevelNum = records
  648. .stream()
  649. .map(LevelStatisticsDTO::getSameSecondLevelNum)
  650. .reduce(0, Integer::sum);
  651. //丙级病历数
  652. Integer thirdLevelNum = records
  653. .stream()
  654. .map(LevelStatisticsDTO::getThirdLevelNum)
  655. .reduce(0, Integer::sum);
  656. //同比丙级病历数
  657. Integer sameThirdLevelNum = records
  658. .stream()
  659. .map(LevelStatisticsDTO::getSameThirdLevelNum)
  660. .reduce(0, Integer::sum);
  661. //甲级病历占比
  662. Double firstLevelPercent = BigDecimal.valueOf(firstLevelNum)
  663. .divide(BigDecimal.valueOf(mrNum), 4, RoundingMode.HALF_UP)
  664. .doubleValue();
  665. String firstLevelPercentStr
  666. = df.format(BigDecimal.valueOf(firstLevelPercent).multiply(BigDecimal.valueOf(100))) + "%";
  667. //同比甲级病历占比
  668. Double sameFirstLevelPercent = 0d;
  669. String sameFirstLevelPercentStr = "0.00%";
  670. if(0 != sameFirstLevelNum ){
  671. sameFirstLevelPercent = BigDecimal.valueOf(sameFirstLevelNum)
  672. .divide(BigDecimal.valueOf(sameMrNum), 4, RoundingMode.HALF_UP)
  673. .doubleValue();
  674. sameFirstLevelPercentStr
  675. = df.format(BigDecimal.valueOf(sameFirstLevelPercent).multiply(BigDecimal.valueOf(100))) + "%";
  676. }
  677. //乙级病历占比
  678. Double secondLevelPercent = BigDecimal.valueOf(secondLevelNum)
  679. .divide(BigDecimal.valueOf(mrNum), 4, RoundingMode.HALF_UP)
  680. .doubleValue();
  681. String secondLevelPercentStr
  682. = df.format(BigDecimal.valueOf(secondLevelPercent).multiply(BigDecimal.valueOf(100))) + "%";
  683. //同比乙级病历占比
  684. Double sameSecondLevelPercent = 0d;
  685. String sameSecondLevelPercentStr = "0.00%";
  686. if(0 != sameFirstLevelNum ){
  687. sameSecondLevelPercent = BigDecimal.valueOf(sameSecondLevelNum)
  688. .divide(BigDecimal.valueOf(sameMrNum), 4, RoundingMode.HALF_UP)
  689. .doubleValue();
  690. sameSecondLevelPercentStr
  691. = df.format(BigDecimal.valueOf(sameSecondLevelPercent).multiply(BigDecimal.valueOf(100))) + "%";
  692. }
  693. //丙级病历占比
  694. Double thirdLevelPercent = BigDecimal.valueOf(thirdLevelNum)
  695. .divide(BigDecimal.valueOf(mrNum), 4, RoundingMode.HALF_UP)
  696. .doubleValue();
  697. String thirdLevelPercentStr
  698. = df.format(BigDecimal.valueOf(thirdLevelPercent).multiply(BigDecimal.valueOf(100))) + "%";
  699. //同比丙级病历占比
  700. Double sameThirdLevelPercent = 0d;
  701. String sameThirdLevelPercentStr = "0.00%";
  702. if(0 != sameFirstLevelNum ) {
  703. sameThirdLevelPercent = BigDecimal.valueOf(sameThirdLevelNum)
  704. .divide(BigDecimal.valueOf(sameMrNum), 4, RoundingMode.HALF_UP)
  705. .doubleValue();
  706. sameThirdLevelPercentStr
  707. = df.format(BigDecimal.valueOf(sameThirdLevelPercent).multiply(BigDecimal.valueOf(100))) + "%";
  708. }
  709. item.setDeptName("全院");
  710. item.setEntryNum(entryNum);
  711. item.setSameNum(sameNum);
  712. item.setMrNum(mrNum);
  713. item.setSameMrNum(sameMrNum);
  714. item.setTotleValue(totleValue);
  715. item.setSameTotleValue(sameTotleValue);
  716. item.setAverageValue(averageValue);
  717. item.setSameAvgValue(sameAvgValue);
  718. item.setFirstLevelNum(firstLevelNum);
  719. item.setSameFirstLevelNum(sameFirstLevelNum);
  720. item.setFirstLevelPercent(firstLevelPercent);
  721. item.setSameFirstLevelPercent(sameFirstLevelPercent);
  722. item.setFirstLevelPercentStr(firstLevelPercentStr);
  723. item.setSameFirstLevelPercentStr(sameFirstLevelPercentStr);
  724. item.setSecondLevelNum(secondLevelNum);
  725. item.setSameSecondLevelNum(sameSecondLevelNum);
  726. item.setSecondLevelPercent(secondLevelPercent);
  727. item.setSameSecondLevelPercent(sameSecondLevelPercent);
  728. item.setSecondLevelPercentStr(secondLevelPercentStr);
  729. item.setSameSecondLevelPercentStr(sameSecondLevelPercentStr);
  730. item.setThirdLevelNum(thirdLevelNum);
  731. item.setSameThirdLevelNum(sameThirdLevelNum);
  732. item.setThirdLevelPercent(thirdLevelPercent);
  733. item.setSameThirdLevelPercent(sameThirdLevelPercent);
  734. item.setThirdLevelPercentStr(thirdLevelPercentStr);
  735. item.setSameThirdLevelPercentStr(sameThirdLevelPercentStr);
  736. return item;
  737. }
  738. /**
  739. * 各科室缺陷占比(组合)-全院-根据内外科系统统计(台州)-导出
  740. *
  741. * @param filterOrderVO
  742. * @return
  743. */
  744. public List<LevelStatisticsTZDTO> levelStatisticsByDeptStr_TZ(FilterOrderVO filterOrderVO) {
  745. filterFacade.filterOrderVOSame(filterOrderVO);
  746. List<LevelStatisticsTZDTO> records = behospitalInfoFacade.levelStatisticsByDeptClass_TZ(filterOrderVO);
  747. if( StringUtil.isBlank(filterOrderVO.getDeptName())){
  748. LevelStatisticsTZDTO item = getGlobleRecords(records,filterOrderVO);
  749. if (item != null) {
  750. records.add(0, item);
  751. }
  752. }
  753. if(ListUtil.isNotEmpty(records)){
  754. for (LevelStatisticsTZDTO record : records) {
  755. BigDecimalStrExport(record);
  756. }
  757. }
  758. return records;
  759. }
  760. /**
  761. * 各科室缺陷占比(组合)-全院-根据内外科系统统计(台州)
  762. *
  763. * @param filterOrderVO
  764. * @return
  765. */
  766. public List<LevelStatisticsTZDTO> levelStatisticsByDeptClass_TZ(FilterOrderVO filterOrderVO) {
  767. filterFacade.filterOrderVOSame(filterOrderVO);
  768. List<LevelStatisticsTZDTO> records = behospitalInfoFacade.levelStatisticsByDeptClass_TZ(filterOrderVO);
  769. if( StringUtil.isBlank(filterOrderVO.getDeptName())){
  770. LevelStatisticsTZDTO item = getGlobleRecords(records,filterOrderVO);
  771. if (item != null) {
  772. records.add(0, item);
  773. }
  774. }
  775. if(ListUtil.isNotEmpty(records)){
  776. for (LevelStatisticsTZDTO record : records) {
  777. BigDecimalMethod(record);
  778. }
  779. }
  780. return records;
  781. }
  782. /**
  783. * 增加全院记录
  784. *
  785. * @param records
  786. * @return
  787. */
  788. public LevelStatisticsTZDTO getGlobleRecords(List<LevelStatisticsTZDTO> records,FilterOrderVO filterOrderVO) {
  789. DecimalFormat df = new DecimalFormat("#0.00");
  790. LevelStatisticsTZDTO item = new LevelStatisticsTZDTO();
  791. if (ListUtil.isEmpty(records)) {
  792. return null;
  793. }
  794. //缺陷总数
  795. Integer entryNum = records
  796. .stream()
  797. .map(LevelStatisticsTZDTO::getEntryNum)
  798. .reduce(0, Integer::sum);
  799. if (entryNum == null || entryNum == 0) {
  800. return null;
  801. }
  802. //同比总数
  803. Integer sameNum = records
  804. .stream()
  805. .map(LevelStatisticsTZDTO::getSameNum)
  806. .reduce(0, Integer::sum);
  807. //质控病历数
  808. Integer mrNum = records
  809. .stream()
  810. .map(LevelStatisticsTZDTO::getMrNum)
  811. .reduce(0, Integer::sum);
  812. //同比病历数
  813. Integer sameMrNum = records
  814. .stream()
  815. .map(LevelStatisticsTZDTO::getSameMrNum)
  816. .reduce(0, Integer::sum);
  817. //质控评分
  818. Double totleValue = records
  819. .stream()
  820. .map(i -> BigDecimal.valueOf(i.getTotleValue()))
  821. .reduce(BigDecimal.ZERO, BigDecimal::add)
  822. .doubleValue();
  823. //同比质控评分
  824. Double sameTotleValue = records
  825. .stream()
  826. .map(i -> BigDecimal.valueOf(i.getSameTotleValue()))
  827. .reduce(BigDecimal.ZERO, BigDecimal::add)
  828. .doubleValue();
  829. //质控平均分
  830. Double averageValue = BigDecimal.valueOf(totleValue)
  831. .divide(BigDecimal.valueOf(mrNum), 2, RoundingMode.HALF_UP)
  832. .doubleValue();
  833. Double sameAvgValue = 0d;
  834. //同比平均分
  835. if(0d != sameTotleValue){
  836. sameAvgValue = BigDecimal.valueOf(sameTotleValue)
  837. .divide(BigDecimal.valueOf(sameMrNum), 2, RoundingMode.HALF_UP)
  838. .doubleValue();
  839. }
  840. //甲级病历数
  841. Integer firstLevelNum = records
  842. .stream()
  843. .map(LevelStatisticsTZDTO::getFirstLevelNum)
  844. .reduce(0, Integer::sum);
  845. //同比甲级病历数
  846. Integer sameFirstLevelNum = records
  847. .stream()
  848. .map(LevelStatisticsTZDTO::getSameFirstLevelNum)
  849. .reduce(0, Integer::sum);
  850. //乙级病历数
  851. Integer secondLevelNum = records
  852. .stream()
  853. .map(LevelStatisticsTZDTO::getSecondLevelNum)
  854. .reduce(0, Integer::sum);
  855. //同比乙级病历数
  856. Integer sameSecondLevelNum = records
  857. .stream()
  858. .map(LevelStatisticsTZDTO::getSameSecondLevelNum)
  859. .reduce(0, Integer::sum);
  860. //丙级病历数
  861. Integer thirdLevelNum = records
  862. .stream()
  863. .map(LevelStatisticsTZDTO::getThirdLevelNum)
  864. .reduce(0, Integer::sum);
  865. //同比丙级病历数
  866. Integer sameThirdLevelNum = records
  867. .stream()
  868. .map(LevelStatisticsTZDTO::getSameThirdLevelNum)
  869. .reduce(0, Integer::sum);
  870. //甲级病历占比
  871. Double firstLevelPercent = BigDecimal.valueOf(firstLevelNum)
  872. .divide(BigDecimal.valueOf(mrNum), 4, RoundingMode.HALF_UP)
  873. .doubleValue();
  874. String firstLevelPercentStr
  875. = df.format(BigDecimal.valueOf(firstLevelPercent).multiply(BigDecimal.valueOf(100))) + "%";
  876. //同比甲级病历占比
  877. Double sameFirstLevelPercent = 0d;
  878. String sameFirstLevelPercentStr = "0.00%";
  879. if(0 != sameFirstLevelNum ){
  880. sameFirstLevelPercent = BigDecimal.valueOf(sameFirstLevelNum)
  881. .divide(BigDecimal.valueOf(sameMrNum), 4, RoundingMode.HALF_UP)
  882. .doubleValue();
  883. sameFirstLevelPercentStr
  884. = df.format(BigDecimal.valueOf(sameFirstLevelPercent).multiply(BigDecimal.valueOf(100))) + "%";
  885. }
  886. //乙级病历占比
  887. Double secondLevelPercent = BigDecimal.valueOf(secondLevelNum)
  888. .divide(BigDecimal.valueOf(mrNum), 4, RoundingMode.HALF_UP)
  889. .doubleValue();
  890. String secondLevelPercentStr
  891. = df.format(BigDecimal.valueOf(secondLevelPercent).multiply(BigDecimal.valueOf(100))) + "%";
  892. //同比乙级病历占比
  893. Double sameSecondLevelPercent = 0d;
  894. String sameSecondLevelPercentStr = "0.00%";
  895. if(0 != sameFirstLevelNum ){
  896. sameSecondLevelPercent = BigDecimal.valueOf(sameSecondLevelNum)
  897. .divide(BigDecimal.valueOf(sameMrNum), 4, RoundingMode.HALF_UP)
  898. .doubleValue();
  899. sameSecondLevelPercentStr
  900. = df.format(BigDecimal.valueOf(sameSecondLevelPercent).multiply(BigDecimal.valueOf(100))) + "%";
  901. }
  902. //丙级病历占比
  903. Double thirdLevelPercent = BigDecimal.valueOf(thirdLevelNum)
  904. .divide(BigDecimal.valueOf(mrNum), 4, RoundingMode.HALF_UP)
  905. .doubleValue();
  906. String thirdLevelPercentStr
  907. = df.format(BigDecimal.valueOf(thirdLevelPercent).multiply(BigDecimal.valueOf(100))) + "%";
  908. //同比丙级病历占比
  909. Double sameThirdLevelPercent = 0d;
  910. String sameThirdLevelPercentStr = "0.00%";
  911. if(0 != sameFirstLevelNum ) {
  912. sameThirdLevelPercent = BigDecimal.valueOf(sameThirdLevelNum)
  913. .divide(BigDecimal.valueOf(sameMrNum), 4, RoundingMode.HALF_UP)
  914. .doubleValue();
  915. sameThirdLevelPercentStr
  916. = df.format(BigDecimal.valueOf(sameThirdLevelPercent).multiply(BigDecimal.valueOf(100))) + "%";
  917. }
  918. if (StringUtil.isBlank(filterOrderVO.getDeptClass()) || filterOrderVO.getDeptClass().equals("全院")) {
  919. item.setDeptName("全院");
  920. }else if("内科".equals(filterOrderVO.getDeptClass())){
  921. item.setDeptClassId("01");
  922. item.setDeptClass("内科");
  923. item.setDeptName("全部科室");
  924. }else if("外科".equals(filterOrderVO.getDeptClass())){
  925. item.setDeptClassId("1030000");
  926. item.setDeptClass("外科");
  927. item.setDeptName("全部科室");
  928. }
  929. item.setEntryNum(entryNum);
  930. item.setSameNum(sameNum);
  931. item.setMrNum(mrNum);
  932. item.setSameMrNum(sameMrNum);
  933. item.setTotleValue(totleValue);
  934. item.setSameTotleValue(sameTotleValue);
  935. item.setAverageValue(averageValue);
  936. item.setSameAvgValue(sameAvgValue);
  937. item.setFirstLevelNum(firstLevelNum);
  938. item.setSameFirstLevelNum(sameFirstLevelNum);
  939. item.setFirstLevelPercent(firstLevelPercent);
  940. item.setSameFirstLevelPercent(sameFirstLevelPercent);
  941. item.setFirstLevelPercentStr(firstLevelPercentStr);
  942. item.setSameFirstLevelPercentStr(sameFirstLevelPercentStr);
  943. item.setSecondLevelNum(secondLevelNum);
  944. item.setSameSecondLevelNum(sameSecondLevelNum);
  945. item.setSecondLevelPercent(secondLevelPercent);
  946. item.setSameSecondLevelPercent(sameSecondLevelPercent);
  947. item.setSecondLevelPercentStr(secondLevelPercentStr);
  948. item.setSameSecondLevelPercentStr(sameSecondLevelPercentStr);
  949. item.setThirdLevelNum(thirdLevelNum);
  950. item.setSameThirdLevelNum(sameThirdLevelNum);
  951. item.setThirdLevelPercent(thirdLevelPercent);
  952. item.setSameThirdLevelPercent(sameThirdLevelPercent);
  953. item.setThirdLevelPercentStr(thirdLevelPercentStr);
  954. item.setSameThirdLevelPercentStr(sameThirdLevelPercentStr);
  955. return item;
  956. }
  957. public void BigDecimalStrExport(LevelStatisticsDTO record){
  958. BigDecimal entrySameBigDecimal = getSubtract(new BigDecimal(record.getEntryNum()), new BigDecimal(record.getSameNum() == null? 0:record.getSameNum()));
  959. if(entrySameBigDecimal.compareTo(BigDecimal.ZERO)>0){
  960. record.setEntryStrNum(record.getEntryNum()+"↑");
  961. }else if(entrySameBigDecimal.compareTo(BigDecimal.ZERO) <0){
  962. record.setEntryStrNum(record.getEntryNum()+"↓");
  963. }
  964. BigDecimal sameMrNumBigDecimal = getSubtract(new BigDecimal(record.getMrNum()), new BigDecimal(record.getSameMrNum() == null? 0:record.getSameMrNum()));
  965. if(sameMrNumBigDecimal.compareTo(BigDecimal.ZERO)>0){
  966. record.setMrStrNum(record.getMrNum()+"↑");
  967. }else if(sameMrNumBigDecimal.compareTo(BigDecimal.ZERO) <0){
  968. record.setMrStrNum(record.getMrNum()+"↓");
  969. }
  970. BigDecimal sameAvgValueDecimal = getSubtract(new BigDecimal(record.getAverageValue()), new BigDecimal(record.getSameAvgValue() == null? 0:record.getSameAvgValue()));
  971. if(sameAvgValueDecimal.compareTo(BigDecimal.ZERO)>0){
  972. record.setAverageStrValue(record.getAverageValue()+"↑");
  973. }else if(sameAvgValueDecimal.compareTo(BigDecimal.ZERO) <0){
  974. record.setAverageStrValue(record.getAverageValue()+"↓");
  975. }
  976. BigDecimal SameFirstLevelBigDecimal = getSubtract(new BigDecimal(record.getFirstLevelNum()), new BigDecimal(record.getSameFirstLevelNum() == null? 0:record.getSameFirstLevelNum()));
  977. if(SameFirstLevelBigDecimal.compareTo(BigDecimal.ZERO)>0){
  978. record.setFirstLevelStrNum(record.getFirstLevelNum()+"↑");
  979. }else if(SameFirstLevelBigDecimal.compareTo(BigDecimal.ZERO) <0){
  980. record.setFirstLevelStrNum(record.getFirstLevelNum()+"↓");
  981. }
  982. BigDecimal SameSecondLevelBigDecimal = getSubtract(new BigDecimal(record.getSecondLevelNum()), new BigDecimal(record.getSameSecondLevelNum() == null? 0:record.getSameSecondLevelNum()));
  983. if(SameSecondLevelBigDecimal.compareTo(BigDecimal.ZERO)>0){
  984. record.setSecondLevelStrNum(record.getSecondLevelNum()+"↑");
  985. }else if(SameSecondLevelBigDecimal.compareTo(BigDecimal.ZERO) <0){
  986. record.setSecondLevelStrNum(record.getSecondLevelNum()+"↓");
  987. }
  988. BigDecimal SameThirdLevelBigDecimal = getSubtract(new BigDecimal(record.getThirdLevelNum()), new BigDecimal(record.getSameThirdLevelNum() == null? 0:record.getSameThirdLevelNum()));
  989. if(SameThirdLevelBigDecimal.compareTo(BigDecimal.ZERO)>0){
  990. record.setThirdLevelStrNum(record.getThirdLevelNum()+"↑");
  991. }else if(SameThirdLevelBigDecimal.compareTo(BigDecimal.ZERO) <0){
  992. record.setThirdLevelStrNum(record.getThirdLevelNum()+"↓");
  993. }
  994. BigDecimal SameFirstLevelPeDecimal = getSubtract(new BigDecimal(record.getFirstLevelPercent()), new BigDecimal(record.getSameFirstLevelPercent() == null? 0:record.getSameFirstLevelPercent()));
  995. if(SameFirstLevelPeDecimal.compareTo(BigDecimal.ZERO)>0){
  996. record.setFirstLevelPercentStr(record.getFirstLevelPercentStr()+"↑");
  997. }else if(SameFirstLevelPeDecimal.compareTo(BigDecimal.ZERO) <0){
  998. record.setFirstLevelPercentStr(record.getFirstLevelPercentStr()+"↓");
  999. }
  1000. BigDecimal SameSecondLevelPeDecimal = getSubtract(new BigDecimal(record.getSecondLevelPercent()), new BigDecimal(record.getSameSecondLevelPercent() == null? 0:record.getSameSecondLevelPercent()));
  1001. if(SameSecondLevelPeDecimal.compareTo(BigDecimal.ZERO)>0){
  1002. record.setSecondLevelPercentStr(record.getSecondLevelPercentStr()+"↑");
  1003. }else if(SameSecondLevelPeDecimal.compareTo(BigDecimal.ZERO)<0){
  1004. record.setSecondLevelPercentStr(record.getSecondLevelPercentStr()+"↓");
  1005. }
  1006. BigDecimal SameThirdLevelPeDecimal = getSubtract(new BigDecimal(record.getThirdLevelPercent()), new BigDecimal(record.getSameThirdLevelPercent() == null? 0:record.getSameThirdLevelPercent()));
  1007. if(SameThirdLevelPeDecimal.compareTo(BigDecimal.ZERO)>0){
  1008. record.setThirdLevelPercentStr(record.getThirdLevelPercentStr()+"↑");
  1009. }else if(SameThirdLevelPeDecimal.compareTo(BigDecimal.ZERO) <0){
  1010. record.setThirdLevelPercentStr(record.getThirdLevelPercentStr()+"↓");
  1011. }
  1012. };
  1013. public void BigDecimalMethod(LevelStatisticsDTO record){
  1014. BigDecimal entrySameBigDecimal = getSubtract(new BigDecimal(record.getEntryNum()), new BigDecimal(record.getSameNum() == null? 0:record.getSameNum()));
  1015. if(entrySameBigDecimal.compareTo(BigDecimal.ZERO)>0){
  1016. record.setEntrySameNum(1);
  1017. }else if(entrySameBigDecimal.compareTo(BigDecimal.ZERO) == 0){
  1018. record.setEntrySameNum(0);
  1019. }else{
  1020. record.setEntrySameNum(-1);
  1021. }
  1022. BigDecimal sameMrNumBigDecimal = getSubtract(new BigDecimal(record.getMrNum()), new BigDecimal(record.getSameMrNum() == null? 0:record.getSameMrNum()));
  1023. if(sameMrNumBigDecimal.compareTo(BigDecimal.ZERO)>0){
  1024. record.setMrSameNum(1);
  1025. }else if(sameMrNumBigDecimal.compareTo(BigDecimal.ZERO) == 0){
  1026. record.setMrSameNum(0);
  1027. }else{
  1028. record.setMrSameNum(-1);
  1029. }
  1030. BigDecimal sameAvgValueDecimal = getSubtract(new BigDecimal(record.getAverageValue()), new BigDecimal(record.getSameAvgValue() == null? 0:record.getSameAvgValue()));
  1031. if(sameAvgValueDecimal.compareTo(BigDecimal.ZERO)>0){
  1032. record.setAvSameValue(1);
  1033. }else if(sameAvgValueDecimal.compareTo(BigDecimal.ZERO) == 0){
  1034. record.setAvSameValue(0);
  1035. }else{
  1036. record.setAvSameValue(-1);
  1037. }
  1038. BigDecimal SameFirstLevelBigDecimal = getSubtract(new BigDecimal(record.getFirstLevelNum()), new BigDecimal(record.getSameFirstLevelNum() == null? 0:record.getSameFirstLevelNum()));
  1039. if(SameFirstLevelBigDecimal.compareTo(BigDecimal.ZERO)>0){
  1040. record.setFirSameLevelNum(1);
  1041. }else if(SameFirstLevelBigDecimal.compareTo(BigDecimal.ZERO) == 0){
  1042. record.setFirSameLevelNum(0);
  1043. }else{
  1044. record.setFirSameLevelNum(-1);
  1045. }
  1046. BigDecimal SameSecondLevelBigDecimal = getSubtract(new BigDecimal(record.getSecondLevelNum()), new BigDecimal(record.getSameSecondLevelNum() == null? 0:record.getSameSecondLevelNum()));
  1047. if(SameSecondLevelBigDecimal.compareTo(BigDecimal.ZERO)>0){
  1048. record.setSecSameLevelNum(1);
  1049. }else if(SameSecondLevelBigDecimal.compareTo(BigDecimal.ZERO) == 0){
  1050. record.setSecSameLevelNum(0);
  1051. }else{
  1052. record.setSecSameLevelNum(-1);
  1053. }
  1054. BigDecimal SameThirdLevelBigDecimal = getSubtract(new BigDecimal(record.getThirdLevelNum()), new BigDecimal(record.getSameThirdLevelNum() == null? 0:record.getSameThirdLevelNum()));
  1055. if(SameThirdLevelBigDecimal.compareTo(BigDecimal.ZERO)>0){
  1056. record.setThiSameLevelNum(1);
  1057. }else if(SameThirdLevelBigDecimal.compareTo(BigDecimal.ZERO) == 0){
  1058. record.setThiSameLevelNum(0);
  1059. }else{
  1060. record.setThiSameLevelNum(-1);
  1061. }
  1062. BigDecimal SameFirstLevelPeDecimal = getSubtract(new BigDecimal(record.getFirstLevelPercent()), new BigDecimal(record.getSameFirstLevelPercent() == null? 0:record.getSameFirstLevelPercent()));
  1063. if(SameFirstLevelPeDecimal.compareTo(BigDecimal.ZERO)>0){
  1064. record.setFirSameLevelPercent(1);
  1065. }else if(SameFirstLevelPeDecimal.compareTo(BigDecimal.ZERO) == 0){
  1066. record.setFirSameLevelPercent(0);
  1067. }else{
  1068. record.setFirSameLevelPercent(-1);
  1069. }
  1070. BigDecimal SameSecondLevelPeDecimal = getSubtract(new BigDecimal(record.getSecondLevelPercent()), new BigDecimal(record.getSameSecondLevelPercent() == null? 0:record.getSameSecondLevelPercent()));
  1071. if(SameSecondLevelPeDecimal.compareTo(BigDecimal.ZERO)>0){
  1072. record.setSecSameLevelPercent(1);
  1073. }else if(SameSecondLevelPeDecimal.compareTo(BigDecimal.ZERO) == 0){
  1074. record.setSecSameLevelPercent(0);
  1075. }else{
  1076. record.setSecSameLevelPercent(-1);
  1077. }
  1078. BigDecimal SameThirdLevelPeDecimal = getSubtract(new BigDecimal(record.getThirdLevelPercent()), new BigDecimal(record.getSameThirdLevelPercent() == null? 0:record.getSameThirdLevelPercent()));
  1079. if(SameThirdLevelPeDecimal.compareTo(BigDecimal.ZERO)>0){
  1080. record.setThiSameLevelPercent(1);
  1081. }else if(SameThirdLevelPeDecimal.compareTo(BigDecimal.ZERO) == 0){
  1082. record.setThiSameLevelPercent(0);
  1083. }else{
  1084. record.setThiSameLevelPercent(-1);
  1085. }
  1086. };
  1087. /**
  1088. * 差值计算
  1089. *
  1090. * @param bigDecimalOne
  1091. * @param bigDecimalTwo
  1092. * @return
  1093. */
  1094. private BigDecimal getSubtract(BigDecimal bigDecimalOne, BigDecimal bigDecimalTwo) {
  1095. BigDecimal newBigDecimal = new BigDecimal(0);
  1096. if (null == bigDecimalOne && null != bigDecimalTwo) {
  1097. newBigDecimal = newBigDecimal.subtract(bigDecimalTwo);
  1098. } else if (null != bigDecimalOne && null == bigDecimalTwo) {
  1099. newBigDecimal = bigDecimalOne.subtract(newBigDecimal);
  1100. } else if (null != bigDecimalOne && null != bigDecimalTwo) {
  1101. newBigDecimal = bigDecimalOne.subtract(bigDecimalTwo);
  1102. }
  1103. return newBigDecimal;
  1104. }
  1105. /**
  1106. * 病案首页合格率占比
  1107. *
  1108. * @param filterOrderVO
  1109. * @return
  1110. */
  1111. public List<HomePageNumDTO> homePageLevelStatistics(FilterOrderVO filterOrderVO) {
  1112. filterFacade.filterOrderVOSet(filterOrderVO);
  1113. List<HomePageNumDTO> records = behospitalInfoFacade.homePageLevelStatistics(filterOrderVO);
  1114. //没有科室过滤时增加全院数据
  1115. if (StringUtil.isBlank(filterOrderVO.getDeptName()) || filterOrderVO.getDeptName().equals("全院")) {
  1116. HomePageNumDTO item = getGlobleRecord(records);
  1117. if (item != null) {
  1118. records.add(0, item);
  1119. }
  1120. }
  1121. return records;
  1122. }
  1123. /**
  1124. * 病案首页合格率占比
  1125. *
  1126. * @param filterOrderVO
  1127. * @return
  1128. */
  1129. public List<HomePageNumDTO> homePageLevelLimit(FilterOrderVO filterOrderVO) {
  1130. filterFacade.filterOrderVOSet(filterOrderVO);
  1131. List<HomePageNumDTO> records = behospitalInfoFacade.homePageLevelStatistics(filterOrderVO);
  1132. HomePageNumDTO item = getGlobleRecord(records);
  1133. if (item != null) {
  1134. records.add(0, item);
  1135. }
  1136. records = records
  1137. .stream()
  1138. .limit(filterOrderVO.getLimitCount())
  1139. .collect(Collectors.toList());
  1140. return records;
  1141. }
  1142. /**
  1143. * 增加全院记录
  1144. *
  1145. * @param records
  1146. * @return
  1147. */
  1148. public HomePageNumDTO getGlobleRecord(List<HomePageNumDTO> records) {
  1149. DecimalFormat df = new DecimalFormat("#0.00");
  1150. HomePageNumDTO item = new HomePageNumDTO();
  1151. if (ListUtil.isEmpty(records)) {
  1152. return null;
  1153. }
  1154. //总病历数
  1155. Integer mrNum = records
  1156. .stream()
  1157. .map(HomePageNumDTO::getMrNum)
  1158. .reduce(0, Integer::sum);
  1159. if (mrNum == null || mrNum == 0) {
  1160. return null;
  1161. }
  1162. //总缺陷数
  1163. Integer entryNum = records
  1164. .stream()
  1165. .map(HomePageNumDTO::getEntryNum)
  1166. .reduce(0, Integer::sum);
  1167. //总分
  1168. Double totleValue = records
  1169. .stream()
  1170. .map(i -> BigDecimal.valueOf(i.getTotleValue()))
  1171. .reduce(BigDecimal.ZERO, BigDecimal::add)
  1172. .doubleValue();
  1173. //平均分
  1174. Double averageValue = BigDecimal.valueOf(totleValue)
  1175. .divide(BigDecimal.valueOf(mrNum), 2, RoundingMode.HALF_UP)
  1176. .doubleValue();
  1177. //合格病历总数
  1178. Integer firstLevelNum = records
  1179. .stream()
  1180. .map(HomePageNumDTO::getFirstLevelNum)
  1181. .reduce(0, Integer::sum);
  1182. //合格病历占比
  1183. Double firstLevelPercent = BigDecimal.valueOf(firstLevelNum)
  1184. .divide(BigDecimal.valueOf(mrNum), 4, RoundingMode.HALF_UP)
  1185. .doubleValue();
  1186. String firstLevelPercentStr
  1187. = df.format(BigDecimal.valueOf(firstLevelPercent).multiply(BigDecimal.valueOf(100))) + "%";
  1188. //不合格病历数
  1189. Integer secondLevelNum = records
  1190. .stream()
  1191. .map(HomePageNumDTO::getSecondLevelNum)
  1192. .reduce(0, Integer::sum);
  1193. //不合格病历占比
  1194. Double secondLevelPercent = BigDecimal.valueOf(secondLevelNum)
  1195. .divide(BigDecimal.valueOf(mrNum), 4, RoundingMode.HALF_UP)
  1196. .doubleValue();
  1197. String secondLevelPercentStr
  1198. = df.format(BigDecimal.valueOf(secondLevelPercent).multiply(BigDecimal.valueOf(100))) + "%";
  1199. //条目缺陷总数(模块下条目*病历数)
  1200. Integer entryTotleNum = records
  1201. .stream()
  1202. .map(HomePageNumDTO::getEntryTotleNum)
  1203. .reduce(0, Integer::sum);
  1204. //空项总数
  1205. Integer emptyNum = records
  1206. .stream()
  1207. .map(HomePageNumDTO::getEmptyNum)
  1208. .reduce(0, Integer::sum);
  1209. Double emptyPercent = BigDecimal.valueOf(entryTotleNum - emptyNum)
  1210. .divide(BigDecimal.valueOf(entryTotleNum), 4, RoundingMode.HALF_UP)
  1211. .doubleValue();
  1212. String emptyPercentStr
  1213. = df.format(BigDecimal.valueOf(emptyPercent).multiply(BigDecimal.valueOf(100))) + "%";
  1214. //错误项总数
  1215. Integer errorNum = records
  1216. .stream()
  1217. .map(HomePageNumDTO::getErrorNum)
  1218. .reduce(0, Integer::sum);
  1219. Double errorPercent = BigDecimal.valueOf(entryTotleNum - errorNum)
  1220. .divide(BigDecimal.valueOf(entryTotleNum), 4, RoundingMode.HALF_UP)
  1221. .doubleValue();
  1222. String errorPercentStr
  1223. = df.format(BigDecimal.valueOf(errorPercent).multiply(BigDecimal.valueOf(100))) + "%";
  1224. item.setDeptName("全院");
  1225. item.setEntryNum(entryNum);
  1226. item.setMrNum(mrNum);
  1227. item.setTotleValue(totleValue);
  1228. item.setAverageValue(averageValue);
  1229. item.setFirstLevelNum(firstLevelNum);
  1230. item.setFirstLevelPercent(firstLevelPercent);
  1231. item.setFirstLevelPercentStr(firstLevelPercentStr);
  1232. item.setSecondLevelNum(secondLevelNum);
  1233. item.setSecondLevelPercent(secondLevelPercent);
  1234. item.setSecondLevelPercentStr(secondLevelPercentStr);
  1235. item.setEntryTotleNum(entryTotleNum);
  1236. item.setEmptyNum(emptyNum);
  1237. item.setEmptyPercent(emptyPercent);
  1238. item.setEmptyPercentStr(emptyPercentStr);
  1239. item.setErrorNum(errorNum);
  1240. item.setErrorPercent(errorPercent);
  1241. item.setErrorPercentStr(errorPercentStr);
  1242. return item;
  1243. }
  1244. /**
  1245. * 条目缺陷质控评分页(内页)
  1246. *
  1247. * @param qcResultShortPageVO
  1248. * @return
  1249. */
  1250. public IPage<QcResultShortDTO> qcResultShortPage(QcResultShortPageVO qcResultShortPageVO) {
  1251. filterFacade.qcResultShortPageVOSet(qcResultShortPageVO);
  1252. IPage<QcResultShortDTO> page = behospitalInfoFacade.qcResultShortPage(qcResultShortPageVO);
  1253. return page;
  1254. }
  1255. /**
  1256. * 关键条目缺陷占比统计
  1257. *
  1258. * @param entryStatisticsVO
  1259. * @return
  1260. */
  1261. public List<EntryStatisticsDTO> entryStatistics(EntryStatisticsVO entryStatisticsVO) {
  1262. filterFacade.entryStatisticsVOSet(entryStatisticsVO);
  1263. if (entryStatisticsVO.getDeptName().equals("全院")) {
  1264. entryStatisticsVO.setDeptName("");
  1265. }
  1266. List<EntryStatisticsDTO> records = behospitalInfoFacade.entryStatistics(entryStatisticsVO);
  1267. //增加全院数据
  1268. if (entryStatisticsVO.getDeptName().equals("")) {
  1269. EntryStatisticsDTO record = getEntryGlobleRecord(records);
  1270. if (record != null) {
  1271. records.add(0, record);
  1272. }
  1273. }
  1274. return records;
  1275. }
  1276. /**
  1277. * 关键条目缺陷占比统计增加全院记录
  1278. *
  1279. * @param records
  1280. * @return
  1281. */
  1282. private EntryStatisticsDTO getEntryGlobleRecord(List<EntryStatisticsDTO> records) {
  1283. DecimalFormat df = new DecimalFormat("#0.00");
  1284. if (ListUtil.isEmpty(records)) {
  1285. return null;
  1286. }
  1287. EntryStatisticsDTO record = new EntryStatisticsDTO();
  1288. record.setDeptName("全院");
  1289. //未在24小时内完成会诊
  1290. Integer consultationNum = records
  1291. .stream()
  1292. .map(EntryStatisticsDTO::getConsultationNum)
  1293. .reduce(0, Integer::sum);
  1294. record.setConsultationNum(consultationNum);
  1295. record.setConsultationEntryId(records.get(0).getConsultationEntryId());
  1296. Integer consultationMRNum = records
  1297. .stream()
  1298. .map(EntryStatisticsDTO::getConsultationMRNum)
  1299. .reduce(0, Integer::sum);
  1300. record.setConsultationMRNum(consultationMRNum);
  1301. if (consultationMRNum != null && !consultationMRNum.equals(0)) {
  1302. Double consultationPercent = BigDecimal.valueOf(consultationNum)
  1303. .divide(BigDecimal.valueOf(consultationMRNum), 4, RoundingMode.HALF_UP)
  1304. .doubleValue();
  1305. String consultationPercentStr
  1306. = df.format(BigDecimal.valueOf(consultationPercent).multiply(BigDecimal.valueOf(100))) + "%";
  1307. record.setConsultationPercent(consultationPercent);
  1308. record.setConsultationPercentStr(consultationPercentStr);
  1309. }
  1310. //手术记录名称不匹配
  1311. Integer operationNameNum = records
  1312. .stream()
  1313. .map(EntryStatisticsDTO::getOperationNameNum)
  1314. .reduce(0, Integer::sum);
  1315. record.setOperationNameNum(operationNameNum);
  1316. record.setOperationNameEntryId(records.get(0).getOperationNameEntryId());
  1317. Integer operationMRNum = records
  1318. .stream()
  1319. .map(EntryStatisticsDTO::getOperationMRNum)
  1320. .reduce(0, Integer::sum);
  1321. record.setOperationMRNum(operationMRNum);
  1322. if (operationMRNum != null && !operationMRNum.equals(0)) {
  1323. Double operationNamePercent = BigDecimal.valueOf(operationNameNum)
  1324. .divide(BigDecimal.valueOf(operationMRNum), 4, RoundingMode.HALF_UP)
  1325. .doubleValue();
  1326. String operationNamePercentStr
  1327. = df.format(BigDecimal.valueOf(operationNamePercent).multiply(BigDecimal.valueOf(100))) + "%";
  1328. record.setOperationNamePercent(operationNamePercent);
  1329. record.setOperationNamePercentStr(operationNamePercentStr);
  1330. }
  1331. //术后首程未在15分钟内完成
  1332. Integer operation15MinuteNum = records
  1333. .stream()
  1334. .map(EntryStatisticsDTO::getOperation15MinuteNum)
  1335. .reduce(0, Integer::sum);
  1336. record.setOperation15MinuteNum(operation15MinuteNum);
  1337. record.setOperation15MinuteEntryId(records.get(0).getOperation15MinuteEntryId());
  1338. if (operationMRNum != null && !operationMRNum.equals(0)) {
  1339. Double operation15MinutePercent = BigDecimal.valueOf(operation15MinuteNum)
  1340. .divide(BigDecimal.valueOf(operationMRNum), 4, RoundingMode.HALF_UP)
  1341. .doubleValue();
  1342. String operation15MinutePercentStr
  1343. = df.format(BigDecimal.valueOf(operation15MinutePercent).multiply(BigDecimal.valueOf(100))) + "%";
  1344. record.setOperation15MinutePercent(operation15MinutePercent);
  1345. record.setOperation15MinutePercentStr(operation15MinutePercentStr);
  1346. }
  1347. //病案首页手术时间不匹配
  1348. Integer operationTimeNum = records
  1349. .stream()
  1350. .map(EntryStatisticsDTO::getOperationTimeNum)
  1351. .reduce(0, Integer::sum);
  1352. record.setOperationTimeNum(operationTimeNum);
  1353. record.setOperationTimeEntryId(records.get(0).getOperationTimeEntryId());
  1354. if (operationMRNum != null && !operationMRNum.equals(0)) {
  1355. Double operationTimePercent = BigDecimal.valueOf(operationTimeNum)
  1356. .divide(BigDecimal.valueOf(operationMRNum), 4, RoundingMode.HALF_UP)
  1357. .doubleValue();
  1358. String operationTimePercentStr
  1359. = df.format(BigDecimal.valueOf(operationTimePercent).multiply(BigDecimal.valueOf(100))) + "%";
  1360. record.setOperationTimePercent(operationTimePercent);
  1361. record.setOperationTimePercentStr(operationTimePercentStr);
  1362. }
  1363. //未在6小时内书写危机值记录
  1364. Integer crisisNum = records
  1365. .stream()
  1366. .map(EntryStatisticsDTO::getCrisisNum)
  1367. .reduce(0, Integer::sum);
  1368. record.setCrisisNum(crisisNum);
  1369. record.setCrisisEntryId(records.get(0).getCrisisEntryId());
  1370. Integer crisisMRNum = records
  1371. .stream()
  1372. .map(EntryStatisticsDTO::getCrisisMRNum)
  1373. .reduce(0, Integer::sum);
  1374. record.setCrisisMRNum(crisisMRNum);
  1375. if (crisisMRNum != null && !crisisMRNum.equals(0)) {
  1376. Double crisisPercent = BigDecimal.valueOf(crisisNum)
  1377. .divide(BigDecimal.valueOf(crisisMRNum), 4, RoundingMode.HALF_UP)
  1378. .doubleValue();
  1379. String crisisPercentStr
  1380. = df.format(BigDecimal.valueOf(crisisPercent).multiply(BigDecimal.valueOf(100))) + "%";
  1381. record.setCrisisPercent(crisisPercent);
  1382. record.setCrisisPercentStr(crisisPercentStr);
  1383. }
  1384. //病人住院超过30天,阶段小节书写
  1385. Integer stageSummaryNum = records
  1386. .stream()
  1387. .map(EntryStatisticsDTO::getStageSummaryNum)
  1388. .reduce(0, Integer::sum);
  1389. record.setStageSummaryNum(stageSummaryNum);
  1390. record.setStageSummaryEntryId(records.get(0).getStageSummaryEntryId());
  1391. Integer stageSummaryMRNum = records
  1392. .stream()
  1393. .map(EntryStatisticsDTO::getStageSummaryMRNum)
  1394. .reduce(0, Integer::sum);
  1395. record.setStageSummaryMRNum(stageSummaryMRNum);
  1396. if (stageSummaryMRNum != null && !stageSummaryMRNum.equals(0)) {
  1397. Double stageSummaryPercent = BigDecimal.valueOf(stageSummaryNum)
  1398. .divide(BigDecimal.valueOf(stageSummaryMRNum), 4, RoundingMode.HALF_UP)
  1399. .doubleValue();
  1400. String stageSummaryPercentStr
  1401. = df.format(BigDecimal.valueOf(stageSummaryPercent).multiply(BigDecimal.valueOf(100))) + "%";
  1402. record.setStageSummaryPercent(stageSummaryPercent);
  1403. record.setStageSummaryPercentStr(stageSummaryPercentStr);
  1404. }
  1405. //住院超过31日病人数
  1406. Integer beHosGT31DaysMRNum = records
  1407. .stream()
  1408. .map(EntryStatisticsDTO::getBeHosGT31DaysMRNum)
  1409. .reduce(0, Integer::sum);
  1410. record.setBeHosGT31DaysMRNum(beHosGT31DaysMRNum);
  1411. return record;
  1412. }
  1413. /**
  1414. * 病案首页合格率、完整率、改善率统计
  1415. *
  1416. * @param filterVO
  1417. * @return
  1418. */
  1419. public Map<String, Object> homePageMRCount(FilterVO filterVO) {
  1420. Map<String, Object> retMap = new HashMap<>();
  1421. retMap.put("合格率", null);
  1422. retMap.put("不合格率", null);
  1423. retMap.put("完整率", null);
  1424. retMap.put("改善率", null);
  1425. filterFacade.filterVOSet(filterVO);
  1426. try {
  1427. Map<String, Object> invokeParams = new HashMap<>();
  1428. invokeParams.put("filterVO", filterVO);
  1429. retMap
  1430. = dataBeanAggregateQueryFacade.get("setAllHomePage", invokeParams, Map.class);
  1431. } catch (Exception e) {
  1432. throw new CommonException(CommonErrorCode.SERVER_IS_ERROR);
  1433. }
  1434. return retMap;
  1435. }
  1436. /**
  1437. * 离院病人质控评分详情页
  1438. *
  1439. * @param qcResultShortPageVO
  1440. * @return
  1441. */
  1442. public IPage<QcResultShortDTO> leaveHosMRPage(QcResultShortPageVO qcResultShortPageVO) {
  1443. filterFacade.qcResultShortPageVOSet(qcResultShortPageVO);
  1444. IPage<QcResultShortDTO> page = behospitalInfoFacade.leaveHosMRPage(qcResultShortPageVO);
  1445. return page;
  1446. }
  1447. /**
  1448. * 质控核查统计(内页)
  1449. *
  1450. * @param filterOrderVO
  1451. * @return
  1452. */
  1453. public List<HomePageImproveDTO> qcCheckStatistics(FilterOrderVO filterOrderVO) {
  1454. filterFacade.filterOrderVOSet(filterOrderVO);
  1455. List<HomePageImproveDTO> records = behospitalInfoFacade.qcCheckStatistics(filterOrderVO);
  1456. //增加全院数据
  1457. if (StringUtil.isBlank(filterOrderVO.getDeptName()) || filterOrderVO.getDeptName().equals("全院")) {
  1458. HomePageImproveDTO item = getGlobleRecord_improve(records);
  1459. if (item != null) {
  1460. records.add(0, item);
  1461. }
  1462. }
  1463. return records;
  1464. }
  1465. /**
  1466. * 增加全院记录
  1467. *
  1468. * @param records
  1469. * @return
  1470. */
  1471. public HomePageImproveDTO getGlobleRecord_improve(List<HomePageImproveDTO> records) {
  1472. DecimalFormat df = new DecimalFormat("#0.00");
  1473. HomePageImproveDTO item = new HomePageImproveDTO();
  1474. if (ListUtil.isEmpty(records)) {
  1475. return null;
  1476. }
  1477. item.setDeptName("全院");
  1478. //总病历数
  1479. Integer mrNum = records
  1480. .stream()
  1481. .map(HomePageImproveDTO::getMrNum)
  1482. .reduce(0, Integer::sum);
  1483. if (mrNum == null || mrNum == 0) {
  1484. return null;
  1485. }
  1486. item.setMrNum(mrNum);
  1487. //核查病历数
  1488. Integer checkedNum = records
  1489. .stream()
  1490. .map(HomePageImproveDTO::getCheckedNum)
  1491. .reduce(0, Integer::sum);
  1492. item.setCheckedNum(checkedNum);
  1493. if (mrNum != null && !mrNum.equals(0)) {
  1494. //核查病历占比
  1495. Double checkedPercent = BigDecimal.valueOf(checkedNum)
  1496. .divide(BigDecimal.valueOf(mrNum), 4, RoundingMode.HALF_UP)
  1497. .doubleValue();
  1498. String checkedPercentStr
  1499. = df.format(BigDecimal.valueOf(checkedPercent).multiply(BigDecimal.valueOf(100))) + "%";
  1500. item.setCheckedPercent(checkedPercent);
  1501. item.setCheckedPercentStr(checkedPercentStr);
  1502. }
  1503. //带病案首页的病历数
  1504. Integer homePageMRNum = records
  1505. .stream()
  1506. .map(HomePageImproveDTO::getHomePageMRNum)
  1507. .reduce(0, Integer::sum);
  1508. item.setHomePageMRNum(homePageMRNum);
  1509. if (homePageMRNum == null || homePageMRNum.equals(0)) {
  1510. return item;
  1511. }
  1512. //改善病历数
  1513. Integer improveNum = records
  1514. .stream()
  1515. .map(HomePageImproveDTO::getImproveNum)
  1516. .reduce(0, Integer::sum);
  1517. //改善率
  1518. Double improvePercent = BigDecimal.valueOf(improveNum)
  1519. .divide(BigDecimal.valueOf(homePageMRNum), 4, RoundingMode.HALF_UP)
  1520. .doubleValue();
  1521. String improvePercentStr
  1522. = df.format(BigDecimal.valueOf(improvePercent).multiply(BigDecimal.valueOf(100))) + "%";
  1523. //改善至合格病历数
  1524. Integer improveToPassNum = records
  1525. .stream()
  1526. .map(HomePageImproveDTO::getImproveToPassNum)
  1527. .reduce(0, Integer::sum);
  1528. //改善至合格占比
  1529. Double improveToPassPercent = BigDecimal.valueOf(improveToPassNum)
  1530. .divide(BigDecimal.valueOf(homePageMRNum), 4, RoundingMode.HALF_UP)
  1531. .doubleValue();
  1532. String improveToPassPercentStr
  1533. = df.format(BigDecimal.valueOf(improveToPassPercent).multiply(BigDecimal.valueOf(100))) + "%";
  1534. //改善至满分病历数
  1535. Integer improveToFullNum = records
  1536. .stream()
  1537. .map(HomePageImproveDTO::getImproveToFullNum)
  1538. .reduce(0, Integer::sum);
  1539. //改善至满分占比
  1540. Double improveToFullPercent = BigDecimal.valueOf(improveToFullNum)
  1541. .divide(BigDecimal.valueOf(homePageMRNum), 4, RoundingMode.HALF_UP)
  1542. .doubleValue();
  1543. String improveToFullPercentStr
  1544. = df.format(BigDecimal.valueOf(improveToFullPercent).multiply(BigDecimal.valueOf(100))) + "%";
  1545. item.setImproveNum(improveNum);
  1546. item.setImprovePercent(improvePercent);
  1547. item.setImprovePercentStr(improvePercentStr);
  1548. item.setImproveToPassNum(improveToPassNum);
  1549. item.setImproveToPassPercent(improveToPassPercent);
  1550. item.setImproveToPassPercentStr(improveToPassPercentStr);
  1551. item.setImproveToFullNum(improveToFullNum);
  1552. item.setImproveToFullPercent(improveToFullPercent);
  1553. item.setImproveToFullPercentStr(improveToFullPercentStr);
  1554. return item;
  1555. }
  1556. /**
  1557. * 未整改病历统计
  1558. *
  1559. * @param filterUnModifyMRVO
  1560. * @return
  1561. */
  1562. public UnModifyMRDTO unModifyMRStatistics(FilterUnModifyMRVO filterUnModifyMRVO) {
  1563. UnModifyMRDTO unModifyMRDTO = new UnModifyMRDTO();
  1564. List<Object> retList = Lists.newLinkedList();
  1565. filterFacade.filterUnModifyMRVOSet(filterUnModifyMRVO);
  1566. //colums
  1567. QueryWrapper<SysHospitalSet> hospitalSetQueryWrapper = new QueryWrapper<>();
  1568. hospitalSetQueryWrapper.eq("is_deleted", 'N')
  1569. .eq("hospital_id", filterUnModifyMRVO.getHospitalId())
  1570. .eq("code", "unmodify_mr_entry");
  1571. SysHospitalSet hospitalSet = sysHospitalSetFacade.getOne(hospitalSetQueryWrapper);
  1572. if (hospitalSet == null || StringUtil.isBlank(hospitalSet.getValue())) {
  1573. return unModifyMRDTO;
  1574. }
  1575. //表头生成
  1576. List<String> columnSet = Arrays.asList(hospitalSet.getValue().split(","));
  1577. List<ColumnDTO> columns = Lists.newLinkedList();
  1578. Integer orderNo = 1;
  1579. ColumnDTO columnDeptId = new ColumnDTO();
  1580. columnDeptId.setOrderNo(orderNo);
  1581. columnDeptId.setFieldName("deptId");
  1582. columnDeptId.setColumnName("科室编码");
  1583. columnDeptId.setIsShow(0);
  1584. columns.add(columnDeptId);
  1585. orderNo++;
  1586. ColumnDTO columnDeptName = new ColumnDTO();
  1587. columnDeptName.setOrderNo(orderNo);
  1588. columnDeptName.setFieldName("deptName");
  1589. columnDeptName.setColumnName("科室");
  1590. columnDeptName.setIsShow(1);
  1591. columns.add(columnDeptName);
  1592. orderNo++;
  1593. List<Long> casesEntryIds = Lists.newArrayList();
  1594. for (String valueStr : columnSet) {
  1595. if (StringUtil.isBlank(valueStr)) {
  1596. continue;
  1597. }
  1598. String[] keyValue = valueStr.split("--");
  1599. if (keyValue != null || keyValue.length > 1) {
  1600. casesEntryIds.add(Long.valueOf(keyValue[0]));
  1601. ColumnDTO columnId = new ColumnDTO();
  1602. columnId.setOrderNo(orderNo);
  1603. columnId.setId(Long.valueOf(keyValue[0]));
  1604. columnId.setFieldName("entry_" + keyValue[0] + "_id");
  1605. columnId.setColumnName(keyValue[1] + "id");
  1606. columnId.setIsShow(0);
  1607. columns.add(columnId);
  1608. orderNo++;
  1609. ColumnDTO columnName = new ColumnDTO();
  1610. columnName.setOrderNo(orderNo);
  1611. columnName.setId(Long.valueOf(keyValue[0]));
  1612. columnName.setFieldName("entry_" + keyValue[0] + "_name");
  1613. columnName.setColumnName(keyValue[1] + "name");
  1614. columnName.setIsShow(0);
  1615. columns.add(columnName);
  1616. orderNo++;
  1617. ColumnDTO columnNum = new ColumnDTO();
  1618. columnNum.setOrderNo(orderNo);
  1619. columnNum.setId(Long.valueOf(keyValue[0]));
  1620. columnNum.setFieldName("entry_" + keyValue[0] + "_num");
  1621. columnNum.setColumnName(keyValue[1]);
  1622. columnNum.setIsShow(1);
  1623. columns.add(columnNum);
  1624. orderNo++;
  1625. }
  1626. }
  1627. //条目未维护
  1628. if (ListUtil.isEmpty(casesEntryIds)) {
  1629. return unModifyMRDTO;
  1630. }
  1631. //casesEntryIds
  1632. filterUnModifyMRVO.setCasesEntryIds(casesEntryIds);
  1633. QueryWrapper<QcCasesEntry> qcCasesEntryQueryWrapper = new QueryWrapper<>();
  1634. qcCasesEntryQueryWrapper.eq("is_deleted", "N")
  1635. .in("id", casesEntryIds);
  1636. List<QcCasesEntry> casesEntryList = qcCasesEntryFacade.list(qcCasesEntryQueryWrapper);
  1637. // 实体类中将实体类转化为map形式,其中条目id对应目标条目名称
  1638. Map<Long, String> basCasesEntryMap = EntityUtil.makeMapWithKeyValue(casesEntryList, "id", "name");
  1639. List<UnModifyMRDetailDTO> records = behospitalInfoFacade.unModifyMRStatistics(filterUnModifyMRVO);
  1640. //以科室分组,将符合科室的每条数据以map形式存储
  1641. Map<String, List<UnModifyMRDetailDTO>> deptMap = EntityUtil.makeEntityListMap(records, "deptName");
  1642. //科室对应科室id
  1643. Map<String, String> deptInfoMap = EntityUtil.makeMapWithKeyValue(records, "deptName", "deptId");
  1644. Map<String, Map<Long, UnModifyMRDetailDTO>> deptEntryMap = new LinkedHashMap<>();
  1645. for (Map.Entry<String, List<UnModifyMRDetailDTO>> entry : deptMap.entrySet()) {
  1646. Map<Long, UnModifyMRDetailDTO> entryMap = EntityUtil.makeEntityMap(entry.getValue(), "casesEntryId");
  1647. deptEntryMap.put(entry.getKey(), entryMap);
  1648. }
  1649. try {
  1650. for (Map.Entry<String, Map<Long, UnModifyMRDetailDTO>> entry : deptEntryMap.entrySet()) {
  1651. Object obj = new Object();
  1652. HashMap addMap = new HashMap();
  1653. HashMap addValMap = new HashMap();
  1654. addMap.put("deptName", Class.forName("java.lang.String"));
  1655. addValMap.put("deptName", entry.getKey());
  1656. addMap.put("deptId", Class.forName("java.lang.String"));
  1657. addValMap.put("deptId", deptInfoMap.get(entry.getKey()));
  1658. for (ColumnDTO item : columns) {
  1659. if (item.getFieldName().lastIndexOf("_id") > 0) {
  1660. addMap.put(item.getFieldName(), Class.forName("java.lang.Long"));
  1661. if (item.getId() != null) {
  1662. addValMap.put(item.getFieldName(), item.getId());
  1663. } else {
  1664. addValMap.put(item.getFieldName(), null);
  1665. }
  1666. } else if (item.getFieldName().lastIndexOf("_name") > 0) {
  1667. addMap.put(item.getFieldName(), Class.forName("java.lang.String"));
  1668. if (basCasesEntryMap.containsKey(item.getId())) {
  1669. addValMap.put(item.getFieldName(), basCasesEntryMap.get(item.getId()));
  1670. } else {
  1671. addValMap.put(item.getFieldName(), "");
  1672. }
  1673. } else if (item.getFieldName().lastIndexOf("_num") > 0) {
  1674. addMap.put(item.getFieldName(), Class.forName("java.lang.Integer"));
  1675. if (entry.getValue().containsKey(item.getId())) {
  1676. addValMap.put(item.getFieldName(), entry.getValue().get(item.getId()).getCasesEntryNum());
  1677. } else {
  1678. addValMap.put(item.getFieldName(), 0);
  1679. }
  1680. }
  1681. }
  1682. obj = new ClassUtil().dynamicClass(obj, addMap, addValMap);
  1683. retList.add(obj);
  1684. }
  1685. } catch (Exception e) {
  1686. e.printStackTrace();
  1687. }
  1688. //排序
  1689. Collections.sort(retList, new Comparator<Object>() {
  1690. @Override
  1691. public int compare(Object o1, Object o2) {
  1692. if (StringUtil.isNotBlank(filterUnModifyMRVO.getAsc())) {
  1693. //升序
  1694. Object o1Val = ObjectUtil.getValueByKey(o1, filterUnModifyMRVO.getAsc());
  1695. Object o2Val = ObjectUtil.getValueByKey(o2, filterUnModifyMRVO.getAsc());
  1696. if (filterUnModifyMRVO.getAsc().lastIndexOf("_num") > 1) {
  1697. return ((Integer) o1Val).compareTo((Integer) o2Val);
  1698. }
  1699. if (filterUnModifyMRVO.getAsc().lastIndexOf("_id") > 1) {
  1700. return ((Long) o1Val).compareTo((Long) o2Val);
  1701. } else {
  1702. return ((String) o1Val).compareTo((String) o2Val);
  1703. }
  1704. } else if (StringUtil.isNotBlank(filterUnModifyMRVO.getDesc())) {
  1705. //降序
  1706. Object o1Val = ObjectUtil.getValueByKey(o1, filterUnModifyMRVO.getDesc());
  1707. Object o2Val = ObjectUtil.getValueByKey(o2, filterUnModifyMRVO.getDesc());
  1708. if (filterUnModifyMRVO.getDesc().lastIndexOf("_num") > 1) {
  1709. return ((Integer) o2Val).compareTo((Integer) o1Val);
  1710. }
  1711. if (filterUnModifyMRVO.getDesc().lastIndexOf("_id") > 1) {
  1712. return ((Long) o2Val).compareTo((Long) o1Val);
  1713. } else {
  1714. return ((String) o2Val).compareTo((String) o1Val);
  1715. }
  1716. } else {
  1717. return 0;
  1718. }
  1719. }
  1720. });
  1721. //增加全院数据
  1722. if (ListUtil.isNotEmpty(retList) &&
  1723. (StringUtil.isBlank(filterUnModifyMRVO.getDeptName())
  1724. || filterUnModifyMRVO.getDeptName().equals("全院"))) {
  1725. try {
  1726. Object globleObj = new Object();
  1727. HashMap addMap = new HashMap();
  1728. HashMap addValMap = new HashMap();
  1729. addMap.put("deptId", Class.forName("java.lang.String"));
  1730. addValMap.put("deptId", "");
  1731. addMap.put("deptName", Class.forName("java.lang.String"));
  1732. addValMap.put("deptName", "全院");
  1733. for (ColumnDTO item : columns) {
  1734. if (item.getFieldName().lastIndexOf("_id") > 0) {
  1735. addMap.put(item.getFieldName(), Class.forName("java.lang.Long"));
  1736. if (item.getId() != null) {
  1737. addValMap.put(item.getFieldName(), item.getId());
  1738. } else {
  1739. addValMap.put(item.getFieldName(), null);
  1740. }
  1741. } else if (item.getFieldName().lastIndexOf("_name") > 0) {
  1742. addMap.put(item.getFieldName(), Class.forName("java.lang.String"));
  1743. if (basCasesEntryMap.containsKey(item.getId())) {
  1744. addValMap.put(item.getFieldName(), basCasesEntryMap.get(item.getId()));
  1745. } else {
  1746. addValMap.put(item.getFieldName(), "");
  1747. }
  1748. } else if (item.getFieldName().lastIndexOf("_num") > 0) {
  1749. addMap.put(item.getFieldName(), Class.forName("java.lang.Integer"));
  1750. Integer entryNum = retList
  1751. .stream()
  1752. .map(i -> ObjectUtil.getValueByKey(i, item.getFieldName()))
  1753. .filter(i -> i != null)
  1754. .map(i -> (Integer) i)
  1755. .reduce(0, Integer::sum);
  1756. addValMap.put(item.getFieldName(), entryNum);
  1757. }
  1758. }
  1759. globleObj = new ClassUtil().dynamicClass(globleObj, addMap, addValMap);
  1760. retList.add(0, globleObj);
  1761. } catch (Exception e) {
  1762. e.printStackTrace();
  1763. }
  1764. }
  1765. unModifyMRDTO.setColumns(columns);
  1766. unModifyMRDTO.setData(retList);
  1767. return unModifyMRDTO;
  1768. }
  1769. /**
  1770. * 未整改病历质控评分页(内页)
  1771. *
  1772. * @param qcResultShortPageVO
  1773. * @return
  1774. */
  1775. public IPage<QcResultShortDTO> unModifyMRPage(QcResultShortPageVO qcResultShortPageVO) {
  1776. filterFacade.qcResultShortPageVOSet(qcResultShortPageVO);
  1777. return behospitalInfoFacade.unModifyMRPage(qcResultShortPageVO);
  1778. }
  1779. /**
  1780. * 不合格/合格数病历号(内页)
  1781. *
  1782. * @param qcResultPageVO
  1783. * @return
  1784. */
  1785. public IPage<QcResultShortDTO> badLevelPage(QcResultPageVO qcResultPageVO) {
  1786. filterFacade.badLevelPageVOSet(qcResultPageVO);
  1787. return behospitalInfoFacade.badLevelPage(qcResultPageVO);
  1788. }
  1789. /**
  1790. * 31天再入院详情页
  1791. *
  1792. * @param reBeHosPageVO
  1793. * @return
  1794. */
  1795. public IPage<ReBeHosDTO> reHos31DaysPage(ReBeHosPageVO reBeHosPageVO) {
  1796. filterFacade.reBeHosPageVOSet(reBeHosPageVO);
  1797. IPage<ReBeHosMergeDTO> page = behospitalInfoFacade.reHos31DaysPage(reBeHosPageVO);
  1798. List<ReBeHosMergeDTO> records = page.getRecords();
  1799. IPage<ReBeHosDTO> retPage = new Page<>();
  1800. BeanUtil.copyProperties(page, retPage);
  1801. List<ReBeHosDTO> retRecords = Lists.newLinkedList();
  1802. if (ListUtil.isNotEmpty(records)) {
  1803. for (ReBeHosMergeDTO record : records) {
  1804. ReBeHosDTO retRecord = new ReBeHosDTO();
  1805. BeanUtil.copyProperties(record, retRecord);
  1806. List<ReBeHosDetailDTO> details = Lists.newLinkedList();
  1807. ReBeHosDetailDTO detailRecord = new ReBeHosDetailDTO();
  1808. BeanUtil.copyProperties(record, detailRecord);
  1809. details.add(detailRecord);
  1810. ReBeHosDetailDTO lastDetailRecord = new ReBeHosDetailDTO();
  1811. lastDetailRecord.setName(record.getName());
  1812. lastDetailRecord.setBehDeptId(record.getLastBehDeptId());
  1813. lastDetailRecord.setBehDeptName(record.getBehDeptName());
  1814. lastDetailRecord.setBehospitalCode(record.getLastBehospitalCode());
  1815. lastDetailRecord.setBehospitalDate(record.getLastBehospitalDate());
  1816. lastDetailRecord.setLeaveHospitalDate(record.getLastLeaveHospitalDate());
  1817. lastDetailRecord.setLevel(record.getLastLevel());
  1818. lastDetailRecord.setScoreRes(record.getLastScoreRes());
  1819. lastDetailRecord.setBehospitalDayNum(record.getLastBehospitalDayNum());
  1820. lastDetailRecord.setTotleFee(record.getLastTotleFee());
  1821. details.add(lastDetailRecord);
  1822. retRecord.setDetails(details);
  1823. retRecords.add(retRecord);
  1824. }
  1825. }
  1826. retPage.setRecords(retRecords);
  1827. return retPage;
  1828. }
  1829. /**
  1830. * 入院人数统计(首页)
  1831. *
  1832. * @param filterVO
  1833. * @return
  1834. */
  1835. public List<NumDTO> beHosCount(FilterVO filterVO) {
  1836. filterFacade.filterVOSet(filterVO);
  1837. List<NumDTO> records = behospitalInfoFacade.beHosCount(filterVO);
  1838. if (ListUtil.isNotEmpty(records)) {
  1839. NumDTO globleRecord = new NumDTO();
  1840. globleRecord.setName("全院");
  1841. Integer num = records.stream()
  1842. .map(NumDTO::getNum)
  1843. .reduce(0, Integer::sum);
  1844. globleRecord.setNum(num);
  1845. records.add(0, globleRecord);
  1846. }
  1847. if (ListUtil.isNotEmpty(records) && records.size() > filterVO.getLimitCount()) {
  1848. records = records.subList(0, 10);
  1849. }
  1850. return records;
  1851. }
  1852. /**
  1853. * 单条条目缺陷统计(首页)
  1854. *
  1855. * @param filterVO
  1856. * @return
  1857. */
  1858. public List<NumDTO> casesEntryStatisticsById(FilterVO filterVO) {
  1859. filterFacade.filterVOSet(filterVO);
  1860. List<NumDTO> records = behospitalInfoFacade.casesEntryStatisticsById(filterVO);
  1861. if (ListUtil.isNotEmpty(records)) {
  1862. NumDTO globleRecord = new NumDTO();
  1863. globleRecord.setName("全院");
  1864. Integer num = records.stream()
  1865. .map(NumDTO::getNum)
  1866. .reduce(0, Integer::sum);
  1867. globleRecord.setNum(num);
  1868. records.add(0, globleRecord);
  1869. }
  1870. if (ListUtil.isNotEmpty(records) && records.size() > filterVO.getLimitCount()) {
  1871. records = records.subList(0, 10);
  1872. }
  1873. return records;
  1874. }
  1875. /**
  1876. * 病案首页改善率质控评分页(内页)
  1877. *
  1878. * @param qcResultShortPageVO
  1879. * @return
  1880. */
  1881. public IPage<QcResultShortDTO> hmImproveMRPage(@Param("qcResultShortPageVO") QcResultShortPageVO qcResultShortPageVO) {
  1882. filterFacade.qcResultShortPageVOSet(qcResultShortPageVO);
  1883. return behospitalInfoFacade.hmImproveMRPage(qcResultShortPageVO);
  1884. }
  1885. /**
  1886. * 质控核查质控评分页(内页)
  1887. *
  1888. * @param qcResultShortPageVO
  1889. * @return
  1890. */
  1891. public IPage<QcResultShortDTO> qcCheckMRPage(@Param("qcResultShortPageVO") QcResultShortPageVO qcResultShortPageVO) {
  1892. filterFacade.qcResultShortPageVOSet(qcResultShortPageVO);
  1893. return behospitalInfoFacade.qcCheckMRPage(qcResultShortPageVO);
  1894. }
  1895. /*
  1896. */
  1897. /**
  1898. * 病历稽查表导出(首页)
  1899. *
  1900. * @param filterVO
  1901. * @return
  1902. */
  1903. public List<MedicalCheckExportDTO> medicalCheckExport(@Param("filterVO") FilterMedicalCheckVO filterVO) {
  1904. filterFacade.getMedicalCheckVOSet(filterVO);
  1905. List<MedicalCheckExportDTO> medicalCheck = behospitalInfoFacade.getMedicalCheckExport(filterVO);
  1906. return medicalCheck;
  1907. }
  1908. /**
  1909. * 病历稽查表(首页)
  1910. *
  1911. * @param filterVO
  1912. * @return
  1913. */
  1914. public IPage<MedicalCheckDTO> getMedicalCheck(@Param("filterVO") FilterMedicalCheckVO filterVO) {
  1915. filterFacade.getMedicalCheckVOSet(filterVO);
  1916. //colums
  1917. QueryWrapper<SysHospitalSet> hospitalSetQueryWrapper = new QueryWrapper<>();
  1918. hospitalSetQueryWrapper.eq("is_deleted", 'N')
  1919. .eq("hospital_id", filterVO.getHospitalId())
  1920. .eq("code", "medical_check_form");
  1921. SysHospitalSet hospitalSet = sysHospitalSetFacade.getOne(hospitalSetQueryWrapper);
  1922. //表头生成
  1923. List<String> columnSet = Arrays.asList(hospitalSet.getValue().split(","));
  1924. //目标条目
  1925. List<Long> casesEntryIds = Lists.newArrayList();
  1926. //遍历第一个条目
  1927. for (String valueStr : columnSet) {
  1928. if (StringUtil.isBlank(valueStr)) {
  1929. continue;
  1930. }
  1931. String[] keyValue = valueStr.split("--");
  1932. if (keyValue != null || keyValue.length > 1) {
  1933. casesEntryIds.add(Long.valueOf(keyValue[0]));
  1934. }
  1935. }
  1936. IPage<MedicalCheckDTO> medicalCheck = behospitalInfoFacade.getMedicalCheck(filterVO,casesEntryIds);
  1937. return medicalCheck;
  1938. }
  1939. /**
  1940. * 病历稽查表(title)
  1941. *
  1942. * @param
  1943. * @return
  1944. */
  1945. public List<ColumnDTO> getMedicalCheckTitle() {
  1946. //病历稽查入参拼接
  1947. String hospitalId = SysUserUtils.getCurrentHospitalID();
  1948. //colums
  1949. QueryWrapper<SysHospitalSet> hospitalSetQueryWrapper = new QueryWrapper<>();
  1950. hospitalSetQueryWrapper.eq("is_deleted", 'N')
  1951. .eq("hospital_id", hospitalId)
  1952. .eq("code", "medical_check_form");
  1953. List<ColumnDTO> columns = Lists.newLinkedList();
  1954. SysHospitalSet hospitalSet = sysHospitalSetFacade.getOne(hospitalSetQueryWrapper);
  1955. if (hospitalSet == null || StringUtil.isBlank(hospitalSet.getValue())) {
  1956. return columns;
  1957. }
  1958. //表头生成
  1959. List<String> columnSet = Arrays.asList(hospitalSet.getValue().split(","));
  1960. Integer orderNo = 1;
  1961. ColumnDTO columnDeptId = new ColumnDTO();
  1962. columnDeptId.setOrderNo(orderNo);
  1963. columnDeptId.setFieldName("deptId");
  1964. columnDeptId.setColumnName("科室编码");
  1965. columnDeptId.setIsShow(0);
  1966. columns.add(columnDeptId);
  1967. orderNo++;
  1968. ColumnDTO columnDeptName = new ColumnDTO();
  1969. columnDeptName.setOrderNo(orderNo);
  1970. columnDeptName.setFieldName("deptName");
  1971. columnDeptName.setColumnName("科室");
  1972. columnDeptName.setIsShow(1);
  1973. columns.add(columnDeptName);
  1974. orderNo++;
  1975. ColumnDTO columnMedicalName = new ColumnDTO();
  1976. columnMedicalName.setOrderNo(orderNo);
  1977. columnMedicalName.setFieldName("doctorName");
  1978. columnMedicalName.setColumnName("医疗组");
  1979. columnMedicalName.setIsShow(1);
  1980. columns.add(columnMedicalName);
  1981. orderNo++;
  1982. for (String valueStr : columnSet) {
  1983. String[] keyValue = valueStr.split("--");
  1984. if (keyValue != null || keyValue.length > 1) {
  1985. ColumnDTO columnNum = new ColumnDTO();
  1986. columnNum.setOrderNo(orderNo);
  1987. columnNum.setId(Long.valueOf(keyValue[0]));
  1988. columnNum.setFieldName("entry_" + keyValue[0] + "_name");
  1989. columnNum.setColumnName(keyValue[1]);
  1990. columnNum.setIsShow(1);
  1991. columns.add(columnNum);
  1992. orderNo++;
  1993. }
  1994. }
  1995. return columns;
  1996. }
  1997. }