AIMC Topic: Pharmacists
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Enhancing pharmacist intervention targeting based on patient clustering with unsupervised machine learning.
Expert review of pharmacoeconomics & outcomes research
Sep 23, 2024
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.
Age Factors
Cluster Analysis
Unsupervised Machine Learning
United States
Hypoglycemic Agents
Diabetes Mellitus
Diabetes Complications
Pharmacists
Professional Role
Pharmaceutical Services
Insurance, Health
Self Report
Sex Factors
Middle Aged
Surveys and Questionnaires
Adult
Male
Machine Learning
Female
Aged
Humans
Development and evaluation of a model to identify publications on the clinical impact of pharmacist interventions.
Research in social & administrative pharmacy : RSAP
Sep 19, 2024
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...
Using machine learning or deep learning models in a hospital setting to detect inappropriate prescriptions: a systematic review.
European journal of hospital pharmacy : science and practice
Jun 21, 2024
OBJECTIVES: The emergence of artificial intelligence (AI) is catching the interest of hospital pharmacists. A massive collection of health data is now available to train AI models and hold the promise of disrupting codes and practices. The objective ...
Evaluation of ChatGPT as a Tool for Answering Clinical Questions in Pharmacy Practice.
Journal of pharmacy practice
May 22, 2024
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...
Ethical considerations and concerns in the implementation of AI in pharmacy practice: a cross-sectional study.
BMC medical ethics
May 16, 2024
BACKGROUND: Integrating artificial intelligence (AI) into healthcare has raised significant ethical concerns. In pharmacy practice, AI offers promising advances but also poses ethical challenges.
Unlocking the future of patient Education: ChatGPT vs. LexiComp® as sources of patient education materials.
Journal of the American Pharmacists Association : JAPhA
May 8, 2024
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.
Development and validation of a machine learning model to improve precision prediction for irrational prescriptions in orthopedic perioperative patients.
Expert opinion on drug safety
May 2, 2024
OBJECTIVE: Our objective was to develop a machine learning model capable of predicting irrational medical prescriptions precisely within orthopedic perioperative patients.
Large language models for preventing medication direction errors in online pharmacies.
Nature medicine
Apr 25, 2024
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 ...
Validation of a novel Artificial Pharmacology Intelligence (API) system for the management of patients with polypharmacy.
Research in social & administrative pharmacy : RSAP
Apr 10, 2024
OBJECTIVE: Medication management of patients with polypharmacy is highly complex. We aimed to validate a novel Artificial Pharmacology Intelligence (API) algorithm to optimize the medication review process in a comprehensive, personalized, and scalab...
Assessing the applicability and appropriateness of ChatGPT in answering clinical pharmacy questions.
Annales pharmaceutiques francaises
Nov 20, 2023
OBJECTIVES: Clinical pharmacists rely on different scientific references to ensure appropriate, safe, and cost-effective drug use. Tools based on artificial intelligence (AI) such as ChatGPT (Generative Pre-trained Transformer) could offer valuable s...
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