Simulation of a hospital's surgical suite and critical care area
WSC '92 Proceedings of the 24th conference on Winter simulation
Exploring Hospitals' Adoption of Information Technology
Journal of Medical Systems
Mobile clinical support system for pediatric emergencies
Decision Support Systems
Unifying business objects and system dynamics as a paradigm for developing decision support systems
Decision Support Systems
Proceedings of the 35th conference on Winter simulation: driving innovation
Information technology payoff in the health-care industry: a longitudinal study
Journal of Management Information Systems - Special issue: Impacts of information technology investment on organizational performance
Physician acceptance of information technologies: Role of perceived threat to professional autonomy
Decision Support Systems
An advanced queueing model to analyze appointment-driven service systems
Computers and Operations Research
Decision Support Systems - Special issue: Economics and information systems
Hi-index | 0.00 |
Implementing electronic health record (EHR) systems in the next few years is on the agenda for many healthcare organizations. Before investing in an EHR system, however, decision makers need to identify and measure the benefits of such systems. We propose using a system dynamics (SD) approach to measuring the benefits of EHR systems. Using an SD approach, it is possible to map complex relationships among clinical processes in hospitals into a model by which one can dynamically measure the effect of any changes in the parameters over time. Simulation of EHR implementations using an SD model produces useful data on the benefits of EHRs that are hard to obtain through empirical data collection methods. The results of an SD model can then be transformed into economic values to estimate financial performance. This paper presents an example of an SD model and its application in EHR decision making.