Analysis of Importance-Performance of Scenarios for Improving Patient length of stay in the Operating Room

Authors

  • Seyedeh Raahil Mousavi Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
  • Mohammad Mehdi Sepehri Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran‎
  • Seyyed Esmaeil Najafi Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

Keywords:

Patient's length of stay‎, Operating room‎, Importance-performance analysis method, IPA method

Abstract

The objective of this study is to reduce the patient's length of stay in the operating room, consequently reducing costs, increasing the revenue of the operating room, and ultimately developing the hospital. We developed improvement scenarios by reviewing previous research and by interviewing operating room experts. A questionnaire based on the importance-performance analytical model was used for the scenario investigation. The statistical population consisted of clinical and non-clinical staff in the operating room of a specialized hospital located in Tehran. After implementing the IPA algorithm on the improvement scenarios, the importance-performance analysis matrix and the weight of the scenarios were determined. Scenarios located in the weak area of the matrix need to be implementation more carefully for implementation. Additionally, scenarios with higher weights are more prioritized for implementation in the operating room. The results show scenarios involving resource changes (adding personnel to the department with the highest average waiting time), timely initiation of the first surgery in each shift, increasing the number of surgical beds, and changing the rules of arrival scheduling are more beneficial for implementation.

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Published

2024-04-21

How to Cite

Raahil Mousavi, S., Sepehri, M. M., & Najafi, S. E. (2024). Analysis of Importance-Performance of Scenarios for Improving Patient length of stay in the Operating Room. Trends in Health Informatics, 1(1), 1–8. Retrieved from https://thi-journal.com/journal/article/view/17