Background: Virtual patients (VPs) are computer-based simulations of clinical scenarios used in health professions education to address various learning outcomes, including clinical reasoning (CR). CR ...

A new AI-driven diagnostic framework combines clinical, genetic, and phenotypic data to help shorten the rare disease diagnostic journey while providing transparent, evidence-based reasoning for ...

Confluence Health's Kaci Ramsey discusses how embedding clinical roles into the revenue cycle protected millions in revenue and bridged the divide between finance and care. Before beginning a new ...

It depends. Reasoning in clinical practice is not black and white. When students ask what they should do for a particular condition, the answer is often “it depends”. It depends on the clinical ...

Abstract: There are two main barriers to using large language models (LLMs) in clinical reasoning. Firstly, while LLMs exhibit significant promise in Natural Language Processing (NLP) tasks, their ...

Applying DSM criteria in a simple checklist fashion can result in significant clinical mistakes and overmedication, Giovanni A. Fava warns in his latest book, Clinical Judgment in Psychiatry: The ...

Clinical Quality Language (CQL) is an HL7 specification for the expression of clinical knowledge that can be used within both the Clinical Decision Support (CDS) and Clinical Quality Measurement (CQM) ...

Future nurses at Mount Saint Mary College got a lesson in real-world clinical judgment from one of the region’s top nursing leaders, Christina Bierling-Norris, Regional Senior Director of Nursing for ...

Copyright: © 2025 Published by Elsevier Ltd. How are clinicians to preserve core clinical skills in an era of algorithmic assistance? As artificial intelligence (AI ...

For many health systems, clinical documentation improvement (CDI) sits at the somewhat tense intersection of clinical care and revenue cycle operations. AI has the potential to bridge that gap and ...