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Models as instruments for optimizing hospital processes: a systematic review.
J R C van Sambeek1, F A Cornelissen, P J M Bakker
1Department of Quality and Process Innovation, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands. j.r.vansambeek@amc.uva.nl
International Journal of Health Care Quality Assurance
|June 12, 2010
Summary
This study reviewed decision-making models for patient flow processes. Many models exist, but few are validated or used by managers for decision support, indicating a gap in practical application.
Area of Science:
- Health Care Management
- Operations Research
- Decision Science
Background:
- Effective patient flow is crucial for healthcare efficiency.
- Managerial decision-making in hospitals relies on robust models.
- Existing literature on decision-support models for patient flow is fragmented.
Purpose of the Study:
- To identify decision-making models for patient flow process design and control.
- To analyze the applicability of these models across different problem types.
- To assess the usability of these models for managerial decision-making.
Main Methods:
- Systematic literature review across three databases.
- Selection of relevant articles based on inclusion/exclusion criteria.
- Analysis of 68 selected articles categorized by model type (descriptive, analytical, simulation).
Main Results:
- 31 computer simulation, 10 descriptive, and 27 analytical models were identified.
- Descriptive models are limited to process design; analytical and simulation models address broader problems.
- Few models are validated, and most are underutilized for managerial decision support.
Conclusions:
- The review provides managers with insights into various decision-support models and their applications.
- Limited database comparability and keyword availability pose challenges for systematic healthcare management research.
- This systematic collection and assessment represent a novel contribution to understanding hospital management decision-support tools.
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