Clinical Decision Support Systems (CDSS) and Clinical Practice Guidelines (CPGs) form an integral part of modern healthcare, enabling the translation of evidence-based medical research into actionable ...

The figure depicts the four-step，Graph-based Retrieval - Augmented Generation (RAG) process for the RSA - KG system, which aims to integrate multimodal data for RSA diagnosis and treatment. Recurrent ...

The addition of a clinical decision support tool improved the systolic blood pressure (SBP) among patients with chronic kidney disease and uncontrolled hypertension, according to a new study published ...

Deployment of artificial intelligence for point-of-care clinical decision support is in its nascency. Despite the media attention and proliferation of AI studies, translation to clinical practice is ...

Clinical decision support systems are tools designed to enhance patient care by providing computer-generated clinical knowledge and relevant patient health information at appropriate times. A recent ...

Clinical decision support systems have been found to help providers make safer and better choices at the point of care. Now, a new study shows that they can also improve patient satisfaction. The ...

Although hospitals and health systems do not closely track medical errors and misdiagnoses, these issues have begun to receive serious scrutiny. Evidence points to the need for immediate improvement ...

Amber Nigam is CEO and cofounder of basys.ai, a Harvard-based company streamlining prior authorization for health plans with generative AI. A few years ago, artificial intelligence (AI) promised to ...

Use of clinical decision support (CDS) in ambulatory clinics is increasing but remains modest. The CDS function with the greatest use is basic medication screening, which increased from 52% of clinics ...