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Patient Flow Simulation/Evidence
Method evidence record

Patient Flow Simulation

Discrete Event Simulation (DES) is a computational technique that models the movement of patients through healthcare facilities by simulating individual patient journeys and interactions with resources (staff, beds, equipment). DES allows realistic representation of complex, stochastic healthcare processes and supports 'what-if' analysis without disrupting live operations.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Discrete Event Simulation for Healthcare Patient Flow Analysis
Taxonomic method record · process-pipeline / healthcare-management
  • Pidd, M. (1992). Computer Simulation in Management Science (3rd ed.). John Wiley & Sons. · ISBN 9780471939314
  • Sokolowski, J. A., & Banks, C. M. (2009). Modeling and Simulation Fundamentals: Theoretical Underpinnings and Practical Domains. John Wiley & Sons. · URL
  • Gunal, M. M., & Pidd, M. (2010). Discrete event simulation for performance modelling in health care: A review of the literature. Journal of Simulation, 4(1), 42–51. · DOI 10.1057/jos.2009.25
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Same method familyHospital Bed Occupancy Modelmachine-suggested · Relational suggestion, not evidence.Same method familyLean Healthcaremachine-suggested · Relational suggestion, not evidence.Same method familyQueuing Theory in Healthcaremachine-suggested · Relational suggestion, not evidence.Same method familySix Sigma in Healthcaremachine-suggested · Relational suggestion, not evidence.Same method familyStaffing Ratio Analysismachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

3 recorded citations, copied from the method source record.

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