根据时间跨度计算总数

问题描述 投票：0回答：1

源数据 source data examples

预期结果数据： Result expected如何计算在添加和停止剂量时向客户提供的时间范围内的剂量总数。在某些情况下，可能会创建新的开始日期和结束日期。如 patid=147 的解释

  • 10/15 有 3 个 12.5 MG 剂量的订单有效。
  • 其中一个仅适用于 10/15，另外两个持续至 10/14/2020。
  • 另一份 25 毫克订单于 2019 年 11 月 4 日开始，一直持续到 2020 年 11 月 3 日）

逻辑是，例如，如果患者在 01/01/2024 至 01/07/2024 期间接受 25 毫克剂量，并且从 01/04/20204 -01/17/2024 期间接受额外的 30 毫克剂量。这意味着新指定日期的准确计数将为 01/01/2024-01/03/2024=25 mg 01/04/2024 -01/07/2024 = 55mg (25+30) mg，然后从 01/08 /2024-01/17/2024 =30毫克，因为客户已停止服用25毫克剂量。

    drop table #prescribed_dose
        drop table #prescribed_dose_Result

        CREATE TABLE #prescribed_dose (
         [patid] [varchar](20) NULL
        ,[Generic_Name] [varchar](256) NULL
        ,[Route] [varchar](50) NULL
        ,[s_date] DATE
        ,[e_date] DATE
        ,[Ordered_Dose] [numeric](15, 2) NULL
        ,[cadance_value]  int--if not null
        --,[ext_date] DATE--end date plus candance value


        )

        INSERT INTO #prescribed_dose
        VALUES
        ('125','Haloperidol Decanoate','R','2016-07-21','2016-07-25',100.00,14)
        ,('125','Paliperidone Palmitate','O','2016-07-21','2016-07-22',234.00,null)
        ,('125','risperiDONE Consta','R','2016-01-27','2016-03-01',12.50,14)
        ,('125','risperiDONE Consta','0','2016-02-03' ,'2016-02-04',25.00,null)
        ,('125','risperiDONE Consta','R','2016-02-17','2016-03-01' ,25.00,14)
        ,('125','risperiDONE Consta','R','2016-07-27','2016-08-09',25.00,null)

        ,('141','Haloperidol Decanoate','R','2016-05-14','2016-07-26',250.00,30)
        ,('141','Haloperidol Decanoate','R','2016-08-05','2016-08-10',100.00,14)
        ,('141','Paliperidone Palmitate','O','2016-08-05','2016-08-06',234.00,null)
        ,('141','risperiDONE Consta','R','2016-05-25','2016-07-26' ,50.00,14)
        ,('141','risperiDONE Consta','R','2016-07-27','2016-08-10',25.00,21)
     
        ,('147','Paliperidone Palmitate','R','2019-10-03','2020-10-02',234.00,30)
        ,('147','risperiDONE Consta','R','2019-10-15','2019-10-15',12.50,14)
        ,('147','risperiDONE Consta','R','2019-10-15' ,'2020-10-14',12.50,14)
        ,('147','risperiDONE Consta','R','2019-10-15','2020-10-14' ,12.50,14)
        ,('147','risperiDONE Consta','R','2019-11-04','2020-11-03',25.00,14)




        ------desired result

        CREATE TABLE #prescribed_dose_Result (
        [patid] [varchar](20) NULL
        ,[Generic_Name] [varchar](256) NULL
        ,[Route] [varchar](50) NULL
        ,[s_date] DATE
        ,[e_date] DATE
        ,[Ordered_Dose] [numeric](15, 2) NULL----Total Dose - if multiple orders for same drug overlap, add them together
        ,[cadance_value]  int--if not null
        --,[ext_date] DATE--end date plus candance value
        )

        INSERT INTO #prescribed_dose_Result
        VALUES

        ('125','Haloperidol Decanoate','R','2016-07-21','2016-07-25',100.00,14)
        ,('125','Paliperidone Palmitate','O','2016-07-21','2016-07-22',234.00,null)
        ,('125','risperiDONE Consta','R','2016-01-27','2016-02-16',12.50,14)
        ,('125','risperiDONE Consta','R','2016-02-17' ,'2016-03-01',37.50,null)
        ----- 37.50 includes the order for 12.5 MG that begins on 1/27 and ends on 3/1 
        --and the order for 25 MG that begins on 2/17 and ends on 3/1.
        ,('125','risperiDONE Consta','R','2016-07-27','2016-08-09' ,25.00,14)
        ,('125','risperiDONE Consta','O','2016-02-03','2016-02-04',25.00,null)

        ,('141','Haloperidol Decanoate','R','2016-05-14','2016-07-26',250.00,30)
        ,('141','Haloperidol Decanoate','R','2016-08-05','2016-08-10',100.00,14)
        ,('141','Paliperidone Palmitate','O','2016-08-05','2016-08-06',234.00,null)
        ,('141','risperiDONE Consta','R','2016-05-25','2016-07-26' ,50.00,14)
        ,('141','risperiDONE Consta','R','2016-07-27','2016-08-10',25.00,21)
     
        ,('147','Paliperidone Palmitate','R','2019-10-03','2020-10-02',234.00,30)
        ,('147','risperiDONE Consta','R','2019-10-15','2019-10-15',37.50,14)
        ---There are 3 orders for 12.5 MG dose active on 10/15. 
        --One is only for 10/15 the other two continue until 10/14/2020.
        --Another order for 25 mg begins on 11/4/2019 and continues until 11/3/2020.
        ,('147','risperiDONE Consta','R','2019-10-16' ,'2019-11-03',25.00,14)
        ,('147','risperiDONE Consta','R','2019-11-04','2020-10-14' ,50.00,14)
        ,('147','risperiDONE Consta','R','2020-10-15','2020-11-03',25.00,14)





        select * from #prescribed_dose
        order by patid,Generic_Name,S_Date,Route

        select * from #prescribed_dose_Result
        order by patid,Generic_Name,S_Date,Route
sql sql-server t-sql
1个回答
0
投票

您提出了一个像样的问题（这在这里很难），提供了有用的代码，但没有提供具有正确值的预期结果集。我尝试根据您的信息构建一些东西。首先，由数据中的所有日期构建日历表（递归 cte），然后将数据连接到日历表并聚合。我希望这有帮助。

DROP TABLE IF EXISTS #prescribed_dose        
        
CREATE TABLE #prescribed_dose (
 [patid] [varchar](20) NULL
,[Generic_Name] [varchar](256) NULL
,[Route] [varchar](50) NULL
,[s_date] DATE
,[e_date] DATE
,[Ordered_Dose] [numeric](15, 2) NULL
,[cadance_value]  int--if not null
)


DROP TABLE IF EXISTS #prescribed_dose_Result      

CREATE TABLE #prescribed_dose_Result (
  [patid] [varchar](20) NULL
  ,[Generic_Name] [varchar](256) NULL
  ,[Route] [varchar](50) NULL
  ,[s_date] DATE
  ,[e_date] DATE
  ,[Ordered_Dose] [numeric](15, 2) NULL
  ,[cadance_value]  int
)


INSERT INTO #prescribed_dose
VALUES
('125','Haloperidol Decanoate','R','2016-07-21','2016-07-25',100.00,14)
,('125','Paliperidone Palmitate','O','2016-07-21','2016-07-22',234.00,null)
,('125','risperiDONE Consta','R','2016-01-27','2016-03-01',12.50,14)
,('125','risperiDONE Consta','0','2016-02-03' ,'2016-02-04',25.00,null)
,('125','risperiDONE Consta','R','2016-02-17','2016-03-01' ,25.00,14)
,('125','risperiDONE Consta','R','2016-02-19','2016-02-20' , 1.00,14)          
,('125','risperiDONE Consta','R','2016-07-27','2016-08-09',25.00,null)

,('141','Haloperidol Decanoate','R','2016-05-14','2016-07-26',250.00,30)
,('141','Haloperidol Decanoate','R','2016-08-05','2016-08-10',100.00,14)
,('141','Paliperidone Palmitate','O','2016-08-05','2016-08-06',234.00,null)
,('141','risperiDONE Consta','R','2016-05-25','2016-07-26' ,50.00,14)
,('141','risperiDONE Consta','R','2016-07-27','2016-08-10',25.00,21)

,('147','Paliperidone Palmitate','R','2019-10-03','2020-10-02',234.00,30)
,('147','risperiDONE Consta','R','2019-10-15','2019-10-15',12.50,14)
,('147','risperiDONE Consta','R','2019-10-15' ,'2020-10-14',12.50,14)
,('147','risperiDONE Consta','R','2019-10-15','2020-10-14' ,12.50,14)
,('147','risperiDONE Consta','R','2019-11-04','2020-11-03',25.00,14)


;WITH mima AS(
SELECT
   minn = MIN(s_date)
    ,maxx = MAX(e_date)
FROM #prescribed_dose
)
,r AS(
SELECT
  n=1
    ,dt = minn
FROM mima
UNION ALL
SELECT
  n = n + 1
    ,dt = DATEADD(DAY, 1, r.dt)
FROM r
WHERE r.dt < (SELECT maxx FROM mima)
)
--SELECT
--  dt
--  ,[patid] 
--  ,[Generic_Name] 
--  ,[Route] 
--  ,[s_date]
--  ,[e_date]
--  ,[Ordered_Dose] 
--  ,[cadance_value]  
--FROM r
--JOIN #prescribed_dose d
--  ON     r.dt >= d.s_date
--     AND r.dt <= d.e_date
--ORDER BY 
--  dt
--  ,patid
--  ,s_date
INSERT INTO #prescribed_dose_Result(
  [patid] 
  ,[Generic_Name] 
  ,[Route] 
  ,[s_date]
  ,[e_date]
  ,[Ordered_Dose] 
  ,[cadance_value]
)
SELECT
  [patid] 
  ,[Generic_Name] 
  ,[Route]   
  ,[s_date] = MIN(dt)
  ,[e_date] = MAX(dt)
  ,[Ordered_Dose] = SUM([Ordered_Dose])
  ,[cadance_value]  
FROM r
JOIN #prescribed_dose d
  ON     r.dt >= d.s_date
       AND r.dt <= d.e_date
GROUP BY
  [patid] 
  ,[Generic_Name] 
  ,[Route]   
  ,[cadance_value] 
ORDER BY 
  patid
    ,Generic_Name
    ,s_date
OPTION(MAXRECURSION 0)

SELECT * FROM #prescribed_dose
ORDER BY patid,Generic_Name,S_Date,Route

SELECT * FROM #prescribed_dose_Result
ORDER BY patid,Generic_Name,S_Date,Route
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