Volume 15, Issue 4 (4-2026)                   Clin Exc 2026, 15(4): 21-30 | Back to browse issues page

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Hosseini A H, Siamian H, Mahmoudvand Z. The Effects of Computerized Physician Order Entry on Reducing Medication Ordering Errors: A Scoping Review. Clin Exc 2026; 15 (4) :21-30
URL: http://ce.mazums.ac.ir/article-1-949-en.html
Department of Health Information Technology, School of Allied Medical Sciences, Mazandaran University of Medical Sciences, Mazandaran, Sari, Iran.
Abstract:   (68 Views)
Patient safety remains a critical objective in healthcare, fundamentally addressing the mitigation of medication errors and associated unintentional patient harm. Computerized Physician Order Entry (CPOE) systems, a key health information technology, possess significant potential to substantially reduce these errors. This investigation was undertaken as a comprehensive Scoping Review to systematically map and analyze the effect of CPOE implementation on the reduction of medication ordering errors.
A systematic search of the literature published between 1999 and 2024 was performed across the ScienceDirect, Google Scholar, and PubMed databases. The search strategy utilized key phrases, including "medication errors," "CPOE," "Computerized Physician Order Entry," "expert system," and "reduction." Following an initial screening of 13,934 publications, a final selection of 11 relevant and qualified studies satisfied the predetermined inclusion criteria for the review.
The findings demonstrate that the implementation of CPOE systems is effective in minimizing prescription errors. CPOE facilitates the digital input of medication orders by prescribing physicians, thereby reducing the human transcription errors associated with manual data entry. Furthermore, integrating CPOE with Clinical Decision Support Systems (CDSS) offers enhanced patient safety; nevertheless, this integration may inadvertently introduce new, system-related vulnerabilities. Consequently, continuous monitoring and the persistent refinement of CPOE/CDSS interfaces are deemed essential for the preemptive mitigation of emergent errors.
 
     
Type of Study: Review | Subject: داروسازی
Received: 2025/12/8 | Accepted: 2026/04/26 | Published: 2026/04/30

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