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Related Experiment Videos

Improving outpatient clinic staffing and scheduling with computer simulation

F Hashimoto1, S Bell

  • 1Department of Medicine, University of New Mexico School of Medicine, Albuquerque 87131, USA.

Journal of General Internal Medicine
|March 1, 1996
PubMed
Summary

Computer simulation optimized outpatient internal medicine clinic patient flow. Analyzing provider task times revealed bottlenecks, leading to operational changes that significantly reduced patient wait times in the clinic.

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Area of Science:

  • Healthcare Operations Research
  • Clinical Process Improvement
  • Health Informatics

Background:

  • Outpatient internal medicine clinics face challenges in managing patient flow due to multiple sequential providers.
  • Efficient patient flow is crucial for optimizing resource utilization and patient satisfaction in healthcare settings.

Purpose of the Study:

  • To analyze and improve patient flow within an appointment-based outpatient internal medicine clinic.
  • To identify bottlenecks and inefficiencies in the patient journey through simulation.

Main Methods:

  • Utilized computer simulation to model patient flow involving registrar, triage nurse, physician, and discharger.
  • Conducted a time-motion study to obtain provider task time distributions for simulation input.
  • Performed time interval and sensitivity analyses to understand clinic dynamics and staffing impacts.

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Main Results:

  • The simulation accurately reflected the clinic's patient flow dynamics.
  • A specific bottleneck provider was identified, impacting overall patient throughput.
  • Patient time in the clinic was found to be influenced by appointment scheduling and physician staffing levels.

Conclusions:

  • Computer simulation is an effective tool for analyzing and optimizing outpatient clinic operations.
  • Operational adjustments based on simulation insights can significantly reduce patient waiting times.
  • Strategic management of provider staffing and appointment scheduling is key to enhancing clinic efficiency.