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Implementing an emergency department patient admission predictive tool: insights from practice
Melanie Jessup1, Marianne Wallis, Justin Boyle
1Griffith University, Gold Coast, Australia. M.Jessup@Griffith.edu.au
Journal of Health Organization and Management
|August 12, 2010
Summary
User input is crucial for developing effective healthcare software. Consulting with emergency department staff ensured the patient admissions prediction tool met critical needs for availability, reliability, and relevance.
Area of Science:
- Health Informatics
- Clinical Systems Engineering
Background:
- Emergency departments face challenges with patient admissions.
- Effective patient flow management is essential for optimal care delivery.
Purpose of the Study:
- To demonstrate the importance of user consultation in developing an emergency department patient admissions prediction tool.
- To identify user expectations and software functional requirements for such a tool.
Main Methods:
- Thematic analysis of semi-structured interviews with 14 healthcare professionals.
- Inclusion of diverse staff roles: emergency department personnel, bed managers, nurse unit managers, directors of nursing, and health administration staff.
Main Results:
- Interviews revealed communication issues and a crisis-driven culture within the current admissions system.
- User-identified requirements for the prediction tool included availability, reliability, relevance, incorporation, validation, definition, and timeliness.
- These insights directly influenced the development of the Emergency Department Patient Admissions Prediction Tool.
Conclusions:
- User input was integral to shaping a hypothetical but practical predictive tool.
- Further research will involve evaluating the tool in real-world practice.
- Recommendations for implementation are broadly applicable to healthcare settings.
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