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Related Experiment Video

Updated: May 6, 2026

Optimizing Minimally Invasive Spine Surgery: A Fully 3D CT O-Arm Navigated Workflow in MIS TLIF
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Optimizing Minimally Invasive Spine Surgery: A Fully 3D CT O-Arm Navigated Workflow in MIS TLIF

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Reducing Elective Surgery Backlogs Through Centralized Waiting List Management: A Quality Improvement Study.

Rabbani Mahmoud Daoud1,2, Moosa Alhoda3,4, Zainab Jasim5

  • 1Department of Internal Medicine, Hull University Teaching Hospital, Hull, UK.

Inquiry : a Journal of Medical Care Organization, Provision and Financing
|May 5, 2026
PubMed
Summary

A new computerized system significantly reduced surgical waiting lists by over 50% and cut patient wait times by 158 days. This data-driven approach improved operating theatre efficiency and post-pandemic recovery for elective surgeries.

Keywords:
COVID-19elective surgery backlogelectronic patient recordhealthcare quality assuranceoperating roomsquality improvementsurgical waiting timetime to treatmentwaiting lists

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Area of Science:

  • Healthcare Management
  • Surgical Services
  • Health Informatics

Background:

  • Elective surgical waiting lists are a global challenge, worsened by the COVID-19 pandemic, leading to significant backlogs.
  • Traditional manual systems at Salmaniya Medical Complex were overwhelmed, hindering efficient surgical waiting list management.

Purpose of the Study:

  • To implement and evaluate a centralized, data-driven Quality Improvement Project (QIP) to reduce surgical backlogs.
  • To improve surgical scheduling, enhance operating theatre utilization, and decrease patient waiting times.

Main Methods:

  • A retrospective pre-post study analyzed adult patients on elective, non-cancer surgery lists from January 2019 to December 2023.
  • Interventions included consolidating data into a computerized system, validating entries, and integrating with the Electronic Patient Record (EPR) system.
  • Paired t-tests were used to assess changes in waiting list volume, waiting times, and theatre utilization.

Main Results:

  • The surgical waiting list volume decreased by 51.74% (from 9,597 to 4,627 patients) between January and August 2024.
  • Mean waiting time to surgery reduced by 158 days (from 12.7 to 7.2 months, p=0.014).
  • Mean monthly operating theatre caseload increased by 9.5% (p < 0.001), indicating improved utilization.

Conclusions:

  • A centralized, EPR-integrated surgical waiting list system effectively reduced backlogs and delays.
  • The model improved coordination, prioritization, and theatre utilization, supporting post-pandemic recovery and service resilience.
  • Tailored strategies may be needed for different surgical departments due to varying case complexities.