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

The data-driven intervention effectively reduced waiting times in the outpatient pharmacy, with significant immediate improvements observed. This study highlights the potential of strategic operational adjustments to enhance service efficiency and patient satisfaction. Further research is needed to validate the sustainability and generalizability of these findings in other settings.

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Publication Details

Journal
Exploratory Research in Clinical and Social Pharmacy
Published
2025-10-25
DOI
https://doi.org/10.1016/j.rcsop.2025.100672
Primary Topic
Healthcare Operations and Scheduling Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Mohammad Alawagi, Hazzaa Alghamdi, Talal S Alshihayb, Yazeed Alharbi et al.
Exploratory Research in Clinical and Social Pharmacy
Healthcare Operations and Scheduling Optimization
article

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

Mohammad Alawagi, Hazzaa Alghamdi, Talal S Alshihayb, Yazeed Alharbi, Abdullah Aleissa, Yasser Albogami
article en

Abstract

The data-driven intervention effectively reduced waiting times in the outpatient pharmacy, with significant immediate improvements observed. This study highlights the potential of strategic operational adjustments to enhance service efficiency and patient satisfaction. Further research is needed to validate the sustainability and generalizability of these findings in other settings.

Exploratory Research in Clinical and Social PharmacyVol. 20
Boston University (US), King Saud bin Abdulaziz University for Health Sciences (SA), King Faisal Specialist Hospital & Research Centre (SA), King Saud University (SA)
Openalex Percentile: Top 53%
Healthcare Operations and Scheduling Optimization
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