Implementing an emergency department patient admission predictive tool : insights from practice

Jessup, Melanie, Wallis, Marianne, Boyle, Justin, Crilly, Julia, Lind, James, Green, David, Miller, Peter, & FitzGerald, Gerard (2010) Implementing an emergency department patient admission predictive tool : insights from practice. Journal of Health Organization and Management, 24(3), pp. 306-318.

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Purpose: This paper aims to show that identification of expectations and software functional requirements via consultation with potential users is an integral component of the development of an emergency department patient admissions prediction tool. ----------

Design/methodology/approach: Thematic analysis of semi-structured interviews with 14 key health staff delivered rich data regarding existing practice and future needs. Participants included emergency department staff, bed managers, nurse unit managers, directors of nursing, and personnel from health administration. ----------

Findings: Participants contributed contextual insights on the current system of admissions, revealing a culture of crisis, imbued with misplayed communication. Their expectations and requirements of a potential predictive tool provided strategic data that moderated the development of the Emergency Department Patient Admissions Prediction Tool, based on their insistence that it feature availability, reliability and relevance. In order to deliver these stipulations, participants stressed that it should be incorporated, validated, defined and timely. ----------

Research limitations/implications: Participants were envisaging a concept and use of a tool that was somewhat hypothetical. However, further research will evaluate the tool in practice. ----------

Practical implications: Participants' unsolicited recommendations regarding implementation will not only inform a subsequent phase of the tool evaluation, but are eminently applicable to any process of implementation in a healthcare setting. ----------

Originality/value: The consultative process engaged clinicians and the paper delivers an insider view of an overburdened system, rather than an outsider's observations.

Impact and interest:

9 citations in Scopus
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ID Code: 37744
Item Type: Journal Article
Refereed: Yes
Additional URLs:
Keywords: Australia, Emergency treatment, Information systems, Medical care, Patients, Software tools
DOI: 10.1108/14777261011054635
ISSN: 1477-7266
Subjects: Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > PUBLIC HEALTH AND HEALTH SERVICES (111700)
Divisions: Current > Research Centres > Centre for Health Research
Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Current > Schools > School of Public Health & Social Work
Deposited On: 06 Oct 2010 22:02
Last Modified: 29 Feb 2012 14:16

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