Journal of managed care & specialty pharmacy
Sep 1, 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...
BACKGROUND: There is a lack of best evidence of intravenous compounding robots for hospital decision-makers. This study aimed to conduct a systematic review of intravenous compounding robots.
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...
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...
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.
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 ...
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...
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...
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...