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Research report · Evidence review and proposed protocol

Reducing Healthcare Waiting Times in Kuwait

Scheduling, Demand Forecasting, and Administrative Automation

Jasem Al Salem

An ivory notebook, analog clock, and calendar with cyan markers and a navy ribbon connecting referral slips, illustrating healthcare scheduling.

Overview

From a referral to completed care.

This report develops a testable framework for reducing non-emergency outpatient waiting times in Kuwait. It combines a targeted narrative evidence review with operations analysis and a proposed prospective evaluation. The focus is completed access to appropriate care within actual staffing, clinical, and institutional constraints, rather than more digital bookings or a higher prediction score.

What the report examines.

  • Measure the pathway from an eligible referral to a completed first consultation, including patients who remain waiting.
  • Improve referral records, reminders, cancellations, rebooking, and waiting-list management before adding predictive tools.
  • Respect clinical priority, usable capacity, staff workload, and equitable access for people with different needs.
  • Compare operational improvements with usual care, then separately evaluate the incremental contribution of predictive tools.

An evidence review. A proposed evaluation.

The proposed sequence starts with reliable referral and appointment records, accessible reminders and cancellations, rebooking, and realistic capacity planning. Predictive tools would then be tested against transparent rules. Digital booking alone does not create clinical capacity; technology cannot independently resolve sustained demand exceeding usable capacity.

This is a targeted narrative review and proposed research protocol, not a systematic review or evidence of an implemented RSB healthcare programme. No patient records were analysed and no clinical trial was conducted. Numerical scenarios are hypothetical, not estimates of Kuwait’s performance. The report is not peer reviewed, does not demonstrate effectiveness, and does not imply official endorsement. It is not clinical advice.

The next research questions.

A proposed prospective study would compare the operational package with usual care using a fixed-horizon measure of time without a completed first consultation. A subsequent comparison would isolate the added contribution of predictive tools. Safety, patient burden, equity, staff workload, and incremental cost would be evaluated alongside access. These studies have not been conducted.

Suggested citation.

Al Salem, J. (2026). Reducing Healthcare Waiting Times in Kuwait: Scheduling, Demand Forecasting, and Administrative Automation. RSB AI Research Lab, Research Report RSB-AI-003, version 1.0, 4 October 2026.