What does this research mean for the field?

A simulation-based, risk-aware physician rostering framework that accounts for reentrant patient flows effectively aligns staffing with demand to meet wait time targets without incurring unnecessary labor costs. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To develop a risk-aware dynamic physician rostering framework that manages reentrant patient flows while strictly enforcing excess wait time service targets in emergency departments.

September 14, 2026Health care scienceOpen Access

Dynamic Physician Rostering in Emergency Departments: Managing Reentrant Patient Flows to Meet Excess Wait Time Targets

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Authors

XDX. Dai PGPeng Gao XXXiaolei Xie

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Overview

Simulation study reveals risk-aware physician rostering limits wait times during patient reentry in emergency departments, suggesting enhanced operational efficiency without excessive labor costs.

Key Points

To develop a risk-aware dynamic physician rostering framework that manages reentrant patient flows while strictly enforcing excess wait time service targets in emergency departments.
Modeled patient flow dynamics that account for pre-service returns (patients leaving without being seen) and post-service revisits for unresolved conditions.
Formulated an hourly risk-aware rostering model evaluated via a simulation-based iterative staffing algorithm to control the tail probability of delay.
Discrete-event simulation experiments demonstrated that the dynamic rostering framework effectively aligns clinical capacity with fluctuating reentrant demand.
The approach successfully maintained target service levels and wait time thresholds without generating unnecessary labor costs.

Cite This Study

Dai et al. (2026) studied this question.

synapsesocial.com/papers/6aa7b3660926e14a848b2485 https://doi.org/10.1002/hcs2.70100

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September 14, 2026Health care scienceOpen Access

Dynamic Physician Rostering in Emergency Departments: Managing Reentrant Patient Flows to Meet Excess Wait Time Targets

View Full Paper

Ask AI

Bookmark

Authors

XDX. Dai PGPeng Gao XXXiaolei Xie

Discussion

Member takes

Overview

Simulation study reveals risk-aware physician rostering limits wait times during patient reentry in emergency departments, suggesting enhanced operational efficiency without excessive labor costs.

Key Points

To develop a risk-aware dynamic physician rostering framework that manages reentrant patient flows while strictly enforcing excess wait time service targets in emergency departments.
Modeled patient flow dynamics that account for pre-service returns (patients leaving without being seen) and post-service revisits for unresolved conditions.
Formulated an hourly risk-aware rostering model evaluated via a simulation-based iterative staffing algorithm to control the tail probability of delay.
Discrete-event simulation experiments demonstrated that the dynamic rostering framework effectively aligns clinical capacity with fluctuating reentrant demand.
The approach successfully maintained target service levels and wait time thresholds without generating unnecessary labor costs.

Cite This Study

Dai et al. (2026) studied this question.

synapsesocial.com/papers/6aa7b3660926e14a848b2485 https://doi.org/10.1002/hcs2.70100

View Full Paper

Ask AI

Bookmark