A data-driven approach to optimizing waiting times in outpatient pharmacy services: Interrupted time series analysis.

ABSTRACT:

Background

Operational efficiency in outpatient pharmacies is a critical factor in healthcare delivery, directly impacting patient satisfaction and adherence to prescribed treatments. Prolonged waiting times in pharmacies can lead to patient dissatisfaction, reduced medication adherence, and potential health risks.

Objective

This study aimed to analyze the impact of a data-driven intervention on reducing patient waiting times in an outpatient pharmacy at a tertiary hospital, with a goal of ensuring that patients are served within 30 min of ticket issuance.

Methods

The study utilized data from the "Qsmart" ticketing system, covering October 2022 to November 2023. A descriptive analysis was conducted to identify peak service hours and assess staffing patterns. An interr

SUBMITTER: Alghamdi H 

PROVIDER: S-EPMC12639288 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature