Query check CCI CXR vs LOS: Difference between revisions
Ttenbergen (talk | contribs) mNo edit summary |
Ttenbergen (talk | contribs) m (would have to be a soft check, since any count is _possible_) |
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|DIC_summary=Confirm that a [[:Category:Labs Imaging]] count is not unreasonably high | |DIC_summary=Confirm that a [[:Category:Labs Imaging]] count is not unreasonably high | ||
|DIC_related_concepts=CXR (plain film); LOS; Arrive DtTm; Dispo DtTm | |DIC_related_concepts=CXR (plain film); LOS; Arrive DtTm; Dispo DtTm | ||
|DIC_firmness= | |DIC_firmness=soft check | ||
|DIC_timing=complete | |DIC_timing=complete | ||
|DIC_coding=query ''check_CCI_CXR_vs_LOS'' | |DIC_coding=query ''check_CCI_CXR_vs_LOS'' | ||
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{{CCMDB.accdb cross checks triggering for correct values}} | {{CCMDB.accdb cross checks triggering for correct values}} | ||
{{DJ | | |||
* is there a function we can use for the threshold? That would be easier to implement than a list like that. If SAS as a way to generate functions (like excel does for its trendlines) then could you run that? [[User:Ttenbergen|Ttenbergen]] 09:02, 2021 September 2 (CDT) | |||
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== Related articles == | == Related articles == | ||
{{Related Articles}} | {{Related Articles}} |
Revision as of 09:02, 2021 September 2
Data Integrity Checks | |
Summary: | Confirm that a Category:Labs Imaging count is not unreasonably high |
Related: | CXR (plain film), LOS, Arrive DtTm, Dispo DtTm |
Firmness: | soft check |
Timing: | complete |
App: | CCMDB.accdb |
Coding: | query check_CCI_CXR_vs_LOS |
Uses L Problem table: | not relevant for this app |
Status: | needs review |
Implementation Date: | not entered |
Backlogged: | No |
We have had some medical Category:Labs Imaging count entries that are so high that they are likely errors.
What are likely maximum entries?
The count per patient stay is related to the LOS. The threshold limits are either Mean + 3 Standard Deviation or Maximum value of Chest X-ray count per patient day for various LOS category listed in the table below. They are derived from July 1988 to June 2017 Lab data. The LOS is based on calendar dates where partial stay is considered as full day.
- LOS based on calendar dates = Dispo DtTm - Arrive DtTm + 1
would we not use Accept DtTm here? Because we could have CXRs on days before arrival... |
- if patient is still in the unit, Dispo DtTm is replaced by today's date
- Chest X-ray (CXR) per patient day = Number of chest X-rays / LOS Based on calendar dates
LOS_days | N | Mean | Std Dev | Minimum | Median | 75th Pctl | 90th Pctl | 95th Pctl | 99th Pctl | Maximum | mean + 3 Std Dev | Limits of CXR per patient day |
---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 4021 | 1.16 | 0.42 | 1 | 1 | 1 | 2 | 2 | 3 | 5 | 2.42 | 5 |
2 | 23910 | 0.83 | 0.31 | 0.5 | 1 | 1 | 1 | 1.5 | 2 | 4 | 1.76 | 4 |
3-10 | 52600 | 0.64 | 0.34 | 0.1 | 0.67 | 0.88 | 1 | 1.25 | 1.6 | 3 | 1.66 | 3 |
11-20 | 7784 | 0.7 | 0.31 | 0.05 | 0.71 | 0.92 | 1.09 | 1.19 | 1.42 | 2.47 | 1.63 | 2 |
21-30 | 1870 | 0.68 | 0.3 | 0.03 | 0.69 | 0.9 | 1.05 | 1.14 | 1.36 | 2.57 | 1.58 | 2 |
31-40 | 660 | 0.62 | 0.3 | 0.03 | 0.64 | 0.84 | 1 | 1.09 | 1.32 | 1.67 | 1.52 | 2 |
41-50 | 311 | 0.54 | 0.29 | 0.02 | 0.53 | 0.73 | 0.93 | 1.02 | 1.21 | 1.58 | 1.41 | 2 |
51-100 | 347 | 0.41 | 0.26 | 0.02 | 0.38 | 0.6 | 0.76 | 0.85 | 1.12 | 1.2 | 1.19 | 1 |
> 100 | 101 | 0.19 | 0.21 | 0.01 | 0.11 | 0.2 | 0.48 | 0.73 | 0.88 | 1.09 | 0.82 | 1 |
CCMDB.accdb cross checks triggering for correct values
If the actual correct data leads to a cross-check error CCMDB.accdb will not allow you to send. In that case, enter a value that is acceptable and then email the Data Processor using the "generate email" button.
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