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This summary is machine-generated.

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Keywords:
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Area of Science:

  • Healthcare Management
  • Operations Research
  • Public Health

Background:

  • Queuing is critical for healthcare efficiency.
  • Data Envelopment Analysis (DEA) is common for healthcare performance measurement.
  • Queue management applications are absent in health DEA literature.

Purpose of the Study:

  • To present a novel application of DEA for assessing queuing processes.
  • To demonstrate DEA's usefulness in evaluating queue systems.
  • To analyze patient flow in an outpatient department without an appointment system.

Main Methods:

  • Applied DEA to a two-stage patient flow pathway (doctor consultation and pharmacy).
  • Assessed queuing variables within the outpatient department.
  • Utilized data from a large public hospital in a developing country.

Main Results:

  • DEA identified significant potential for minimizing waiting times.
  • Queuing variables require considerable reduction at both consultation and pharmacy stages.
  • Highlighted the need for queue optimization in resource-constrained settings.

Conclusions:

  • DEA is a valuable tool for evaluating healthcare queue systems, especially where appointment systems are absent.
  • The study provides a framework for improving patient flow efficiency.
  • Results underscore the importance of addressing queuing inefficiencies in public healthcare.