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Users’ experiences of an emergency department patient admission predictive tool: A qualitative evaluation
Journal article   Peer reviewed

Users’ experiences of an emergency department patient admission predictive tool: A qualitative evaluation

Melanie Jessup, Julia Crilly, Justin Boyle, Marianne Wallis, James Lind, David Green and Gerard Fitzgerald
Health Informatics Journal, Vol.22(3), pp.618-632
2016
DOI: https://doi.org/10.1177/1460458215577993
url
https://doi.org/10.1177/1460458215577993View
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Abstract

bed management and patient flow communication decision-making evaluation implementation predictive modelling
Emergency department overcrowding is an increasing issue impacting patients, staff and quality of care, resulting in poor patient and system outcomes. In order to facilitate better management of emergency department resources, a patient admission predictive tool was developed and implemented. Evaluation of the tool's accuracy and efficacy was complemented with a qualitative component that explicated the experiences of users and its impact upon their management strategies, and is the focus of this article. Semi-structured interviews were conducted with 15 pertinent users, including bed managers, after-hours managers, specialty department heads, nurse unit managers and hospital executives. Analysis realised dynamics of accuracy, facilitating communication and enabling group decision-making. Users generally welcomed the enhanced potential to predict and plan following the incorporation of the patient admission predictive tool into their daily and weekly decision-making processes. They offered astute feedback with regard to their responses when faced with issues of capacity and communication. Participants reported an growing confidence in making informed decisions in a cultural context that is continually moving from reactive to proactive. This information will inform further patient admission predictive tool development specifically and implementation processes generally.

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Health Care Sciences & Services
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