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Abstract
Work Domain Analysis (WDA), the foundational phase in the Cognitive Work Analysis Framework (CWA), provides a platform for understanding and designing complex systems. Though it has been used extensively, there are few applications in healthcare, and model validation for different contexts is not always undertaken. The current study aimed to validate an Emergency Department (ED) WDA across three metropolitan hospitals that differ in the type and nature of services they provide, including the ED in which the original ED WDA was developed. A facilitated workshop was conducted at the first ED and interviews at two subsequent EDs to refine and validate the ED WDA. ED subject matter experts (SMEs) including nurses, doctors, administration, and allied health personnel provided feedback on the model. SME feedback resulted in modifications to the original ED WDA model including combining nodes to reduce duplication and amending five labels for clarity. The resulting WDA provides a valid representation of the EDs found in metropolitan districts within an Australian state and can be used by roles such as frontline ED clinicians, hospital managers, and policy developers to facilitate the design, testing, and sharing of solutions to local and shared problems. The findings also demonstrate the importance of validating WDA models across different contexts.
| Original language | English |
|---|---|
| Article number | 104240 |
| Pages (from-to) | 1-8 |
| Number of pages | 8 |
| Journal | Applied Ergonomics |
| Volume | 117 |
| Early online date | 28 Jan 2024 |
| DOIs | |
| Publication status | Published - May 2024 |
Bibliographical note
Copyright the Author(s) 2024. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.Keywords
- Adaptation
- Complex systems
- Constraints
- Resilience engineering
- Sociotechnical systems
- Systems tools
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Working together: innovation to improve Emergency Department (ED) performance, and patient outcomes and experience for five complex consumer cohorts
Clay-Williams, R. (Primary Chief Investigator), Braithwaite, J. (Chief Investigator), Harrison, R. (Chief Investigator), Zurynski, Y. (Chief Investigator), Hibbert, P. (Chief Investigator), Mitchell, R. (Chief Investigator), Cutler, H. (Chief Investigator), Vukasovic, M. (Chief Investigator), Ali, R. (Chief Investigator), Holt, L. (Chief Investigator), Gillies, D. (Chief Investigator), Ellis, L. (Chief Investigator), Austin, E. (Chief Investigator), Churruca, K. (Chief Investigator), Walpola, R. (Chief Investigator), Gwynne, K. (Associate Investigator), Hutchinson, K. (Associate Investigator), Carrigan, A. (Associate Investigator), Newman, B. (Associate Investigator), De los Santos, A. (Associate Investigator), Murphy, M. (Associate Investigator), Salmon, P. (Associate Investigator), Hrast, J. (Associate Investigator), Griggs, S. (Associate Investigator), Long, J. (Associate Investigator), Cheek, C. (Project Co-ordinator), Francis-Auton, E. (Co-Investigator), Hayba, N. (Co-Investigator) & Richardson, L. (Research Assistant)
1/04/22 → 31/03/27
Project: Research