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Process modelling and simulation for managing clinical care in the community
S Kay1, N R Hardiker, S Aldridge
1Department of Computer Science, University of Manchester, UK.
Proceedings. AMIA Symposium
|February 3, 1999
Summary
Bridging the gap between healthcare needs and information systems is challenging. Process modeling and simulation can improve communication between users and developers for better healthcare information systems.
Area of Science:
- Health Informatics
- Computer Science Applications in Healthcare
- Systems Engineering
Background:
- 'Care in the Community' is a growing trend in healthcare.
- Information technology has not adequately supported this trend.
- A key issue is the mismatch between clinical needs and current system specifications.
Purpose of the Study:
- To assess process modeling and simulation as methods for capturing and communicating requirements.
- To bridge the divide between healthcare users and information system developers.
Main Methods:
- Utilized process modeling techniques.
- Employed simulation methods.
- Focused on requirement elicitation and communication.
Main Results:
- Demonstrated the potential of process modeling and simulation.
- Highlighted their utility in aligning system specifications with clinical care processes.
- Showcased their role in reducing the power differential between users and developers.
Conclusions:
- Process modeling and simulation are valuable tools for developing effective healthcare information systems.
- These techniques can improve the alignment between user needs and system capabilities.
- Successful implementation of 'Care in the Community' requires better information system support.