Question

我有一个医院病床普查，该普查被触发并在表中创建日期/时间戳记行。病床检查部分完成后，它会标记事件普查。我发现有些病人在住院的日子里没有被事件普查打上时间戳。我正在尝试编写查询以捕获所有可能遇到此问题的患者。
我需要在入院和出院日期之间捕获患者，然后在任何时候都没有进行人口普查的时间戳记事件。例如，该患者在12日或13日没有进行普查，但在14日进行了普查。我希望能够提取此pat_id以及日期未包含人口普查的日期。

11-APR-2019 11:59:00 PM CENSUS
12-APR-2019 03:12:00 PM TRANSFER OUT
12-APR-2019 03:12:00 PM TRANSFER IN
14-APR-2019 07:06:00 AM PATIENT UPDATE
14-APR-2019 11:40:00 AM TRANSFER OUT
14-APR-2019 11:40:00 AM TRANSFER IN
14-APR-2019 11:59:00 PM CENSUS

我为查询创建了日历部分。然后我创建了一个查询来捕获某个时间范围内的患者。从那里我有点卡住。

DATE1
AS
(select 
to_char(dates,'MM/DD/YYYY') AS WEEK_DATE,
dates, 
to_char(dates,'D') weekday, 
to_char(dates,'mm') m_onth, 
to_char(dates,'ww') week_of_year, 
to_char(dates,'dd') month_day,
to_char(dates,'ddd') Year_day,
SUBSTR(dates,1,2) AS WEEKDATE
from (SELECT TRUNC(to_date(v.yyyy,'YYYY'),'YY') +LEVEL - 1 DATES 
FROM ( SELECT 2019 yyyy FROM dual ) v 
CONNECT BY LEVEL < 366
)
)
,
ADT 
AS (select distinct
adt.pat_id,
peh.y_mrn,
adt.DEPARTMENT_ID,
adp.department_name,
--peh.HOSP_ADMSN_TIME,
to_char(peh.HOSP_ADMSN_TIME,'MM/DD/YYYY') AS HOSP_ADMSN_TIME2,
--peh.HOSP_DISCH_TIME,
to_char(peh.HOSP_DISCH_TIME,'MM/DD/YYYY') AS HOSP_DISCH_TIME2,
adt.effective_time,
to_char(aDT.effective_time,'MM/DD/YYYY') AS EFFECT_DATE,
--LEAD(adt.effective_time) over (partition by ADT.pat_id order by ADT.pat_id, adt.effective_time) AS NEXT_EFF_DATE,
--CASE WHEN adt.event_type_c =6 THEN adt.effective_time END AS CENSUS_DATE,
et.title as event_type,
adt.event_type_c,
peh.ADT_PAT_CLASS_C,
Adt.event_subtype_c--,
--LAG(adt.effective_time) over (partition by ADT.pat_id order by ADT.pat_id, adt.effective_time) AS PREV_EFF_DATE
from 
clarity_adt adt
left OUTER join 
 pat_enc_hsp peh
 on
peh.pat_enc_csn_id = adt.pat_enc_csn_id
left outer join
clarity_dep adp 
on adt.department_id = adp.department_id
left OUTER join 
zc_event_type et 
on adt.event_type_c = et.event_type_c
where 
adt.effective_time between '08-apr-2019' and '15-apr-2019' 
order by adt.effective_time 
)
,
ADT2
AS
(
SELECT-- DISTINCT
D.WEEK_DATE,
A.HOSP_ADMSN_TIME2,
A.EFFECT_DATE,
A.PAT_ID,
CASE WHEN D.WEEK_DATE IS NOT NULL AND A.EFFECT_DATE IS NULL AND A.event_type <> 'CENSUS' THEN 1
WHEN D.WEEK_DATE IS NOT NULL AND A.EFFECT_DATE IS NULL AND A.event_type IS NULL THEN 1 
WHEN D.WEEK_DATE IS NOT NULL AND A.EFFECT_DATE IS NOT NULL AND A.event_type <> 'CENSUS' THEN 1 ELSE 0 
END AS NO_ADT_INFO,
A.event_type,
A.HOSP_DISCH_TIME2
FROM
DATE2 D
LEFT OUTER JOIN
ADT A
ON 
D.WEEK_DATE = A.EFFECT_DATE
ORDER BY 
D.WEEK_DATE)

我想以患者的身分证，他们没有普查的星期几，住院和出院的日期结束

PAT_ID  WEEK_DATE   EVENT_TYPE  HOSP_ADMSN_TIME HOSP_DISCH_TIME
ABCDEF  4/12/2019   NO CENSUS   4/10/2019   4/19/2019
ABCDEF  4/13/2019   NO CENSUS   4/10/2019   4/19/2019
GHIJK   4/8/2019    NO CENSUS   4/2/2019    4/12/2019
GHIJK   4/11/2019   NO CENSUS   4/2/2019    4/12/2019

Answer 1

以下是两名患者的样本数据：

import sys
from kivy.app import App
from kivy.graphics import Color, Rectangle
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.gridlayout import GridLayout
from kivy.uix.floatlayout import FloatLayout
from kivy.uix.image import Image
from kivy.uix.button import Button
from kivy.uix.carousel import Carousel
from kivy.uix.label import Label
from kivy.core.audio import SoundLoader
from kivy.uix.slider import Slider
from kivy.uix.switch import Switch
from kivy.uix.popup import Popup

class CustomLayout(FloatLayout):

    def __init__(self, **kwargs):
        super(CustomLayout, self).__init__(**kwargs)
        self.imag1 = Image(source="fundal.jpg")
        self.add_widget(self.imag1)
        self.layout0 = FloatLayout()
        self.layout0.size_hint=(None,None)
        self.layout0.size=(600,500)
        self.layout0.padding =200
        self.imag1.add_widget(self.layout0)
        self.sound = SoundLoader.load('JO_-_09_-_Fortitude.ogg')
        self.sound.play()
        self.sound.loop = True
        self.sound.volume=0.5
        self.Meniu(None)

您可以为每个患者创建递归查询生成天，并检查在这些天中的每一天是否有events(pat_id, event_date, event_type) as ( select 'ABCD', to_date('2019-04-11 23:59', 'yyyy-mm-dd hh24:mi'), 'CENSUS' from dual union all select 'ABCD', to_date('2019-04-12 15:12', 'yyyy-mm-dd hh24:mi'), 'TRANSFER OUT' from dual union all select 'ABCD', to_date('2019-04-12 15:12', 'yyyy-mm-dd hh24:mi'), 'TRANSFER IN' from dual union all select 'ABCD', to_date('2019-04-14 07:06', 'yyyy-mm-dd hh24:mi'), 'PATIENT UPDATE' from dual union all select 'ABCD', to_date('2019-04-14 11:40', 'yyyy-mm-dd hh24:mi'), 'TRANSFER OUT' from dual union all select 'ABCD', to_date('2019-04-14 11:40', 'yyyy-mm-dd hh24:mi'), 'TRANSFER IN' from dual union all select 'ABCD', to_date('2019-04-14 23:59', 'yyyy-mm-dd hh24:mi'), 'CENSUS' from dual union all select 'GHIJ', to_date('2019-05-17 23:59', 'yyyy-mm-dd hh24:mi'), 'CENSUS' from dual union all select 'GHIJ', to_date('2019-05-19 23:59', 'yyyy-mm-dd hh24:mi'), 'CENSUS' from dual ), peh(pat_id, hosp_admsn_time, hosp_disch_time) as ( select 'ABCD', date '2019-04-11', date '2019-04-14' from dual union all select 'GHIJ', date '2019-05-17', date '2019-05-20' from dual ),事件：

CENSUS

结果：

with cte(pat_id, num, adm, dis) as (
    select pat_id, 0, hosp_admsn_time, hosp_disch_time from peh
    union all
    select pat_id, num + 1, adm, dis from cte where num < dis - adm)
select pat_id, day, 'NO CENSUS' info, adm, dis
  from (select pat_id, adm + num day, adm, dis from cte) d
  where not exists (
    select 1 
      from events 
      where pat_id = d.pat_id and trunc(event_date) = d.day and event_type = 'CENSUS')
  order by pat_id, day;

^{dbfiddle demo}

查询以比较住院普查中失踪患者的日期

1 个答案: