AIMC Topic: Pharmacists

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Deep learning application to automated classification of recommendations made by hospital pharmacists during medication prescription review.

American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists
PURPOSE: Recommendations to improve therapeutics are proposals made by pharmacists during the prescription review process to address suboptimal use of medicines. Recommendations are generated daily as text documents but are rarely reused beyond their...

Comprehensive analysis of responses from ChatGPT to consumer inquiries regarding over-the-counter medications.

Die Pharmazie
The use of generative artificial intelligence (AI) applications such as ChatGPT is becoming increasingly popular. In Japan, consumers can purchase most over-the-counter (OTC) drugs without having to consult a pharmacist, so they may ask generative A...

Community pharmacists awareness, perceptions, and opinions of artificial intelligence: A cross-sectional study in Riyadh, Saudi Arabia.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Several revolutions are currently taking place in the healthcare industry to provide accurate, reliable, and valid healthcare to patients. Among these is artificial intelligence (AI).

Evaluation of inpatient medication guidance from an artificial intelligence chatbot.

American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists
PURPOSE: To analyze the clinical completeness, correctness, usefulness, and safety of chatbot and medication database responses to everyday inpatient medication-use questions.

[Fostering Pharmacists to Succeed in a Drastically Changing Society].

Yakugaku zasshi : Journal of the Pharmaceutical Society of Japan
In 2006, Japan's pharmaceutical science education was revised to a 6-year enrollment course, placing greater emphasis on cultivating practical clinical ability. Quality Assurance (QA) measures have been implemented including offering education based ...

[Early Prediction of Support Necessity for Pharmacy Clinical Internship Using Deep Learning].

Yakugaku zasshi : Journal of the Pharmaceutical Society of Japan
The duration of undergraduate study was extended in 2006 to six years for pharmaceutical education aimed at training highly qualified pharmacists. Clinical internship in current pharmaceutical education is positioned as being important for fostering ...

Clinical Relevance of Pharmacist Intervention: Development of a Named Entity Recognition Model on Unstructured Comments.

Studies in health technology and informatics
We developed a clinical named entity recognition model to predict clinical relevance of pharmacist interventions (PIs) by identifying and labelling expressions from unstructured comments of PIs. Three labels, drug, kidney and dosage, had a great inte...

Patient satisfaction with a pharmacist-led best possible medication discharge plan via tele-robot in a remote and rural community hospital.

Canadian journal of rural medicine : the official journal of the Society of Rural Physicians of Canada = Journal canadien de la medecine rurale : le journal officiel de la Societe de medecine rurale du Canada
INTRODUCTION: Medication reconciliation (MedRec) reduces the risk of preventable medication-related adverse events (ADEs). A best possible medication discharge plan (BPMDP) is a revised list of medications a patient will take when discharged from hos...

Embracing the role of artificial intelligence in the medication-use process.

American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists

A machine learning-based clinical decision support system to identify prescriptions with a high risk of medication error.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: To improve patient safety and clinical outcomes by reducing the risk of prescribing errors, we tested the accuracy of a hybrid clinical decision support system in prioritizing prescription checks.