Literature DB >> 28239219

Higher Quality and Lower Cost from Improving Hospital Discharge Decision Making.

James C Cox1, Vjollca Sadiraj1, Kurt E Schnier2, John F Sweeney3.   

Abstract

This paper reports research on improving decisions about hospital discharges - decisions that are now made by physicians based on mainly subjective evaluations of patients' discharge status. We report an experiment on uptake of our clinical decision support software (CDSS) which presents physicians with evidence-based discharge criteria that can be effectively utilized at the point of care where the discharge decision is made. One experimental treatment we report prompts physician attentiveness to the CDSS by replacing the default option of universal "opt in" to patient discharge with the alternative default option of "opt out" from the CDSS recommendations to discharge or not to discharge the patient on each day of hospital stay. We also report results from experimental treatments that implement the CDSS under varying conditions of time pressure on the subjects. The experiment was conducted using resident physicians and fourth-year medical students at a university medical school as subjects.

Entities:  

Keywords:  Clinical Decision Support System; Default Option; Experiment; Healthcare; Risk

Year:  2015        PMID: 28239219      PMCID: PMC5319446          DOI: 10.1016/j.jebo.2015.03.017

Source DB:  PubMed          Journal:  J Econ Behav Organ        ISSN: 0167-2681


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5.  Predicting hospital readmissions in the Medicare population.

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6.  Discharge decision-making after complex surgery: Surgeon behaviors compared to predictive modeling to reduce surgical readmissions.

Authors:  Ira L Leeds; Vjollca Sadiraj; James C Cox; Xiaoxue Sherry Gao; Timothy M Pawlik; Kurt E Schnier; John F Sweeney
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Review 7.  Effect of clinical decision-support systems: a systematic review.

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8.  Patient and physician perceptions after software-assisted hospital discharge: cluster randomized trial.

Authors:  James F Graumlich; Nancy L Novotny; G Stephen Nace; Jean C Aldag
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9.  A clinical decision tool for predicting patient care characteristics: patients returning within 72 hours in the emergency department.

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10.  Reducing unnecessary hospital days to improve quality of care through physician accountability: a cluster randomised trial.

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  3 in total

1.  Discharge decision-making after complex surgery: Surgeon behaviors compared to predictive modeling to reduce surgical readmissions.

Authors:  Ira L Leeds; Vjollca Sadiraj; James C Cox; Xiaoxue Sherry Gao; Timothy M Pawlik; Kurt E Schnier; John F Sweeney
Journal:  Am J Surg       Date:  2016-10-20       Impact factor: 2.565

2.  Incentivizing Cost-Effective Reductions in Hospital Readmission Rates.

Authors:  James C Cox; Vjollca Sadiraj; Kurt E Schnier; John F Sweeney
Journal:  J Econ Behav Organ       Date:  2015-04-03

3.  Evidence-based Clinical Decision Support Systems for the prediction and detection of three disease states in critical care: A systematic literature review.

Authors:  Goran Medic; Melodi Kosaner Kließ; Louis Atallah; Jochen Weichert; Saswat Panda; Maarten Postma; Amer El-Kerdi
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  3 in total

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