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A Study on Decision-Making for Improving Service Efficiency in Hospitals.

Su-Wen Huang1,2, Shao-Jen Weng3, Shyue-Yow Chiou1

  • 1Department of General Affairs, Taichung Veterans General Hospital, Taichung 40705, Taiwan.

Healthcare (Basel, Switzerland)
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Summary

An intelligent dispatch strategy significantly reduces urgent case delays in hospitals, improving patient care. This approach optimizes resource allocation by deploying the nearest available workers, enhancing overall hospital operational efficiency.

Keywords:
healthcare qualityhealthcare resource allocationintelligent dispatchpatient safetyservice efficiencysystem simulation

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Area of Science:

  • Healthcare Management
  • Operations Research
  • Health Informatics

Background:

  • Increasing healthcare demand necessitates optimized hospital operations.
  • Inefficient internal dispatch services hinder patient care and increase costs.
  • Outsourcing or innovating dispatch services is crucial for efficiency.

Purpose of the Study:

  • To develop a decision-making model for optimizing hospital service resource allocation.
  • To evaluate the impact of an intelligent dispatch strategy on reducing service delays.
  • To enhance the efficiency of hospital internal dispatch operations.

Main Methods:

  • Utilized dispatch data from a Taiwanese healthcare center (Jan 2020 - Dec 2020).
  • Constructed a decision-making model for resource allocation.
  • Employed simulation techniques to analyze current and optimized service organization.

Main Results:

  • An intelligent dispatch strategy, deploying nearest available workers, was proposed.
  • Urgent case delay rates were reduced from 5%-34% to 3%-18%.
  • The study identified influencing factors affecting worker dispatch.

Conclusions:

  • An intelligent dispatch strategy can significantly improve hospital operational efficiency.
  • Optimized resource allocation is key to minimizing delays in urgent healthcare services.
  • A comprehensive dispatching mechanism is vital for enhancing hospital service operations.