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Pharmacists

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Large language models for preventing medication direction errors in online pharmacies.

Nature medicine
Errors in pharmacy medication directions, such as incorrect instructions for dosage or frequency, can increase patient safety risk substantially by raising the chances of adverse drug events. This study explores how integrating domain knowledge with ...

Evaluation of ChatGPT as a Tool for Answering Clinical Questions in Pharmacy Practice.

Journal of pharmacy practice
In the healthcare field, there has been a growing interest in using artificial intelligence (AI)-powered tools to assist healthcare professionals, including pharmacists, in their daily tasks. To provide commentary and insight into the potential for...

Unlocking the future of patient Education: ChatGPT vs. LexiComp® as sources of patient education materials.

Journal of the American Pharmacists Association : JAPhA
BACKGROUND: ChatGPT is a conversational artificial intelligence technology that has shown application in various facets of healthcare. With the increased use of AI, it is imperative to assess the accuracy and comprehensibility of AI platforms.

[Translated article] Introducing artificial intelligence to hospital pharmacy departments.

Farmacia hospitalaria : organo oficial de expresion cientifica de la Sociedad Espanola de Farmacia Hospitalaria
Artificial intelligence is a broad concept that includes the study of the ability of computers to perform tasks that would normally require the intervention of human intelligence. By exploiting large volumes of healthcare data, Artificial intelligenc...

Approaching artificial intelligence to Hospital Pharmacy.

Farmacia hospitalaria : organo oficial de expresion cientifica de la Sociedad Espanola de Farmacia Hospitalaria
Artificial intelligence (AI) is a broad concept that includes the study of the ability of computers to perform tasks that would normally require the intervention of human intelligence. By exploiting large volumes of healthcare data, artificial intell...

Development and evaluation of a model to identify publications on the clinical impact of pharmacist interventions.

Research in social & administrative pharmacy : RSAP
BACKGROUND: Pharmacists are increasingly involved in patient care. Pharmacy practice research helps them identify the most clinically meaningful interventions. However, the lack of a widely accepted controlled vocabulary in this field hinders the dis...

Enhancing pharmacist intervention targeting based on patient clustering with unsupervised machine learning.

Expert review of pharmacoeconomics & outcomes research
OBJECTIVES: Adherence to the American Diabetes Association (ADA) Standards of Medical Care is low. This study aimed to assist pharmacists in identifying patients for diabetes control interventions using unsupervised machine learning.

Gender and ethnicity bias in generative artificial intelligence text-to-image depiction of pharmacists.

The International journal of pharmacy practice
INTRODUCTION: In Australia, 64% of pharmacists are women but continue to be under-represented. Generative artificial intelligence (AI) is potentially transformative but also has the potential for errors, misrepresentations, and bias. Generative AI te...