AIMC Topic: Pharmaceutical Services
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Performance Improvement of a Natural Language Processing Tool for Extracting Patient Narratives Related to Medical States From Japanese Pharmaceutical Care Records by Increasing the Amount of Training Data: Natural Language Processing Analysis and Validation Study.
JMIR medical informatics
Mar 4, 2025
BACKGROUND: Patients' oral expressions serve as valuable sources of clinical information to improve pharmacotherapy. Natural language processing (NLP) is a useful approach for analyzing unstructured text data, such as patient narratives. However, few...
Applications of artificial intelligence in current pharmacy practice: A scoping review.
Research in social & administrative pharmacy : RSAP
Dec 17, 2024
BACKGROUND: Artificial intelligence (AI), a branch of computer science, has been of growing research interest since its introduction to healthcare disciplines in the 1970s. Research has demonstrated that the application of such technologies has allow...
Pharmacists' perceptions of artificial intelligence: A national survey.
Journal of the American Pharmacists Association : JAPhA
Nov 28, 2024
BACKGROUND: Artificial intelligence (AI) is a rapidly growing and evolving field impacting pharmacy research, education, and professional practice. The development and adaptation of AI technologies have the potential to radically shape the future of ...
Student Pharmacists' Perceptions of Artificial Intelligence and Machine Learning in Pharmacy Practice and Pharmacy Education.
American journal of pharmaceutical education
Oct 17, 2024
OBJECTIVE: This study explored student pharmacists' perceptions and attitudes regarding artificial intelligence (AI) and machine learning (ML) in pharmacy practice. Due to AI/ML's promising prospects, understanding students' current awareness, compre...
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.
Professional Role
Pharmaceutical Services
Self Report
Male
Sex Factors
Cluster Analysis
Middle Aged
Diabetes Complications
Unsupervised Machine Learning
Surveys and Questionnaires
Pharmacists
Insurance, Health
Diabetes Mellitus
Machine Learning
Humans
United States
Aged
Age Factors
Female
Adult
Hypoglycemic Agents
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...
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...
Economic and utilization outcomes of medication management at a large Medicaid plan with disease management pharmacists using a novel artificial intelligence platform from 2018 to 2019: a retrospective observational study using regression methods.
Journal of managed care & specialty pharmacy
May 25, 2021
Medication therapy management (MTM) and comprehensive medication management (CMM) have been practiced by clinical pharmacists as a predominantly manual activity with interventions documented in a record-keeping system. Program evaluations, largely b...
The use of natural language processing on narrative medication schedules to compute average weekly dose.
Pharmacoepidemiology and drug safety
Sep 16, 2016
PURPOSE: Medications with non-standard dosing and unstandardized units of measurement make the estimation of prescribed dose difficult from pharmacy dispensing data. A natural language processing tool named the SIG extractor was developed to identify...
[Not Available].
Farmacia hospitalaria : organo oficial de expresion cientifica de la Sociedad Espanola de Farmacia Hospitalaria
Jan 1, 2024
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