Literature DB >> 26434397

An evaluation of physician predictions of discharge on a general medicine service.

Brian Sullivan1, David Ming2,3, Joel C Boggan1,4, Ryan D Schulteis1,4, Samantha Thomas5, Josh Choi1, Jonathan Bae2.   

Abstract

The goal of this study was to evaluate general medicine physicians' ability to predict hospital discharge. We prospectively asked study subjects to predict whether each patient under their care would be discharged on the next day, on the same day, or neither. Discharge predictions were recorded at 3 time points: mornings (7-9 am), midday (12-2 pm), or afternoons (5-7 pm), for a total of 2641 predictions. For predictions of next-day discharge, the sensitivity (SN) and positive predictive value (PPV) were lowest in the morning (27% and 33%, respectively), but increased by the afternoon (SN 67%, PPV 69%). Similarly, for same-day discharge predictions, SN and PPV were highest at midday (88% and 79%, respectively). We found that although physicians have difficulty predicting next-day discharges in the morning prior to the day of expected discharge, their ability to correctly predict discharges continually improved as the time to actual discharge decreased. Journal of Hospital Medicine 2015;10:808-810.
© 2015 Society of Hospital Medicine. © 2015 Society of Hospital Medicine.

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Year:  2015        PMID: 26434397     DOI: 10.1002/jhm.2439

Source DB:  PubMed          Journal:  J Hosp Med        ISSN: 1553-5592            Impact factor:   2.960


  4 in total

1.  Understanding the Accuracy of Clinician Provided Estimated Discharge Dates.

Authors:  Olivia P Henry; Gen Li; Robert E Freundlich; Warren S Sandberg; Jonathan P Wanderer
Journal:  J Med Syst       Date:  2021-11-16       Impact factor: 4.920

2.  Predicting next-day discharge via electronic health record access logs.

Authors:  Xinmeng Zhang; Chao Yan; Bradley A Malin; Mayur B Patel; You Chen
Journal:  J Am Med Inform Assoc       Date:  2021-11-25       Impact factor: 7.942

3.  Application of Predictive Modelling to Improve the Discharge Process in Hospitals.

Authors:  Sayed Hisham; Shahina Abdul Rasheed; Brayal Dsouza
Journal:  Healthc Inform Res       Date:  2020-07-31

4.  Ready to Go Home? Assessment of Shared Mental Models of the Patient and Discharging Team Regarding Readiness for Hospital Discharge.

Authors:  Kirstin A Manges; Andrea S Wallace; Patricia S Groves; Marilyn M Schapira; Robert E Burke
Journal:  J Hosp Med       Date:  2021-06       Impact factor: 2.899

  4 in total

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