Overstay Predictor Project: Difference between revisions
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{{Project | |||
|ProjectActive=legacy | |||
|ProjectProgram=Med | |||
|ProjectRequestor=Mary Ann Lynch and Dr Eberhard Renner | |||
|ProjectCollectionStartDate=2012-11-05 | |||
|ProjectCollectionStopDate=2019-10-01 | |||
|Project={{PAGENAME}} | |||
}} | |||
{{LegacyContent | |||
|explanation= no more [[overstay]] as of October 1, 2019 | |||
|content= | |||
'''''See [[Overstay Predictor Project Collection Instructions]] for collection instructions for this project.''''' | '''''See [[Overstay Predictor Project Collection Instructions]] for collection instructions for this project.''''' | ||
See [[Overstay Project Start Stop dates]] | |||
[[ | A small number of patients overstays for a significant amount of time after they are medically ready for discharge. Though the number of patients is small, a significant proportion of bed-days is wasted in the process. The Overstay Predictor Project uses an [[Overstay Predictor Project Algorithm | algorithm]] to that uses data collected by the Critical Care and Medicine Database to predict an overstay risk. This risk is communicated to ward staff using a red sticker on charts and a direct communication to the unit manager. | ||
==[[Overstay | ==Legacy== | ||
see [[Overstay Project Start Stop dates | Implementation Dates]] | |||
{{Data Integrity Check List|}} | |||
== Related Articles == | |||
{{Related Articles}} | |||
[[Category: OverstayProject]] | [[Category: OverstayProject]] | ||
}} |
Latest revision as of 23:48, 9 November 2024
Projects | |
Active?: | legacy |
Program: | Med |
Requestor: | Mary Ann Lynch and Dr Eberhard Renner |
Collection start: | 2012-11-05 |
Collection end: | 2019-10-01 |
Legacy Content
This page contains Legacy Content.- Explanation: no more overstay as of October 1, 2019
- Successor: No successor was entered
Click Expand to show legacy content.
See Overstay Predictor Project Collection Instructions for collection instructions for this project.
See Overstay Project Start Stop dates
A small number of patients overstays for a significant amount of time after they are medically ready for discharge. Though the number of patients is small, a significant proportion of bed-days is wasted in the process. The Overstay Predictor Project uses an algorithm to that uses data collected by the Critical Care and Medicine Database to predict an overstay risk. This risk is communicated to ward staff using a red sticker on charts and a direct communication to the unit manager.
Legacy
Data Integrity Checks (automatic list)
App | Status | |
---|---|---|
Query check tmp generate allowed | CCMDB.accdb | implemented |
Query check overstay no colour | CCMDB.accdb | retired |
Query check overstay pt from our med | CCMDB.accdb | retired |
Query check overstay not entered | CCMDB.accdb | retired |