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http://dx.doi.org/10.1016/j.sapharm.2023.03.006 | DOI Listing |
BMJ Open Qual
September 2025
National Center for Human Factors in Healthcare, MedStar Health, Washington, District of Columbia, USA.
Background: The aim of the study is to develop a machine learning (ML) model to identify contributing factors to dementia-related safety events using patient safety event report data.
Method: This study uses dementia-related safety event reports from a patient safety reporting system of a 10-hospital health system in the USA. Contributing factors to safety events were coded using the Yorkshire contributory factors framework based on free-text descriptions in the reports.
Am J Health Syst Pharm
September 2025
Vanderbilt University Medical Center, Nashville, TN, USA.
Purpose: By understanding the principles of AI model evaluation, pharmacists can effectively leverage this technology to enhance patient care and optimize pharmacy operations.
Summary: Artificial intelligence (AI) holds immense potential to revolutionize healthcare delivery, especially within pharmacy practice. As AI technologies become more prevalent, it is crucial for pharmacists to be equipped with the knowledge and skills to critically evaluate AI models and studies.
Pharmaceuticals (Basel)
August 2025
Fripharm®, Pharmacy Department, Groupe Hospitalier Centre Edouard Herriot, Hospices Civils de Lyon, 5, Place d'Arsonval, F-69437 Lyon, France.
: is an artificial intelligence-based platform designed to predict the Beyond Use Dates (BUDs) of compounded oral solid dosage forms. The study aims to develop a decision-support tool for pharmacists by integrating molecular, formulation, and environmental parameters to assist in optimizing the stability of extemporaneous preparations. : A tree ensemble regression model was trained using a curated dataset of 55 experimental BUD values collected from the Stabilis database.
View Article and Find Full Text PDFMo Med
August 2025
Attending Physician, Adult Critical Care Medicine and Infectious Diseases, University of Maryland-Baltimore Washington Medical Center, Glen Burnie, Maryland, USA; Adjunct Associate Professor, Department of Medicine-Division of Infectious Diseases, University of Missouri-Columbia, Columbia, Missouri,
Antibiotic resistance is driven by inappropriate antibiotic use. Multi-drug resistance is a rising concern in Gram-negative bacteria. Prompt recognition and appropriate antibiotics are needed for improving outcomes.
View Article and Find Full Text PDFFront Pharmacol
July 2025
Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research, College of Stomatology, Xi'an Jiaotong University, Xi'an, China.
Medicines are a highly regulated category of commodities that demand strict oversight across their distribution chains and face numerous challenges in ensuring safety and authenticity. In response to concerns about counterfeit products, gray-market diversion, and pressures to protect public insurance funds, China has rapidly advanced a nationwide drug traceability policy, mandating unit-level digital identifiers and requiring point-of-dispensing scanning by 1 July 2025. However, given China's vast territory, substantial regional disparities, and complex healthcare infrastructure, this accelerated policy rollout has posed considerable challenges for frontline implementation, placing significant pressure on outpatient pharmacy operations.
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