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Predicting the impact of a new information system on workflow using a discrete event simulation
Christa E Bartos1, Milena K Nigam, Douglas B Fridsma
1Center for Biomedical Informatics, University of Pittsburgh, 8084 Forbes Tower, 200 Lothrop Street, Pittsburgh, PA 15213, USA. bartce@upmc.edu
Studies in Health Technology and Informatics
|September 14, 2004
Summary
Computer simulations predict hospital information system impacts, preventing workflow issues. This study used discrete-event simulation to identify an unexpected increase in specimen processing time, allowing staff reallocation before system implementation.
Area of Science:
- Health Informatics
- Operations Research
Background:
- Implementing new information systems in healthcare settings can lead to unforeseen workflow disruptions.
- Effective communication and planning are crucial for successful system integration across organizational levels.
Purpose of the Study:
- To evaluate the utility of computer simulation in predicting the impact of an information system on hospital department workflow.
- To identify potential workflow changes and enable proactive resource allocation before system implementation.
Main Methods:
- A discrete-event simulation experiment was conducted.
- The simulation modeled the introduction of an information system in a specific hospital laboratory setting.
Main Results:
- The simulation accurately predicted an unexpected increase in routine specimen processing time.
- This prediction allowed for the reallocation of existing staff resources prior to the system's actual implementation.
Conclusions:
- Computer simulation is a valuable tool for anticipating and mitigating the negative impacts of information system implementation in healthcare.
- Proactive adjustments based on simulation data can optimize resource allocation and minimize operational disruptions.