%0 Journal Article
%@ 1929-073X
%I JMIR Publications
%V 12
%N 
%P e42016
%T The Utility of Predictive Modeling and a Systems Process Approach to Reduce Emergency Department Crowding: A Position Paper
%A Monahan,Ann Corneille
%A Feldman,Sue S
%+ University of Alabama at Birmingham, 1720 University Blvd, Birmingham, AL, 35294, United States, 1 205 934 4011, monahanannc@gmail.com
%K emergency care, prehospital
%K information systems
%K crowding
%K healthcare service
%K healthcare system
%K emergency department
%K boarding
%K exit block
%K medical informatics, application
%K health services research
%K personalized medicine
%K predictive medicine
%K model, probabilistic
%K polynomial model
%K decision support technique
%K systems approach
%K predict
%K evidence based health care
%K hospital bed management
%K management information systems
%K position paper
%D 2023
%7 10.7.2023
%9 Viewpoint
%J Interact J Med Res
%G English
%X Emergency department (ED) crowding and its main causes, exit block and boarding, continue to threaten the quality and safety of ED care. Most interventions to reduce crowding have not been comprehensive or system solutions, only focusing on part of the care procession and not directly affecting boarding reduction. This position paper proposes that the ED crowding problem can be optimally addressed by applying a systems approach using predictive modeling to identify patients at risk of being admitted to the hospital and uses that information to initiate the time-consuming bed management process earlier in the care continuum, shortening the time during which patients wait in the ED for an inpatient bed assignment, thus removing the exit block that causes boarding and subsequently reducing crowding.
%M 37428536
%R 10.2196/42016
%U https://www.i-jmr.org/2023/1/e42016
%U https://doi.org/10.2196/42016
%U http://www.ncbi.nlm.nih.gov/pubmed/37428536