In medicine, the greatest challenges often emerge – not from what healthcare organizations fail to do, but from the variations in how they do it. At MultiCare Health System, a 13-hospital network ...

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 ...

Multi-AI agents – multiple artificial intelligence agents working together in a shared environment – can be used to address persistent workflow challenges in clinical decision support, drawing from ...

Pharmacogenomics (PGx) is a foundational component of precision medicine, yet many laboratories and health systems continue to face challenges translating PGx evidence into routine clinical ...

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 ...

MEREDITH identified a broader range of treatment options (median 4) compared with MTB experts (median 2). These options included therapies on the basis of preclinical data and combination treatments, ...

In a remote, within-participant simulation, 26 oncologists from the United Kingdom, United States, Spain, and Singapore reviewed synthetic breast cancer cases and created comprehensive summaries for ...

Kunal is a thought leader in Digital Journal’s Insight Forum (become a member). The intersection of Artificial Intelligence (AI) and analytics-based decision support systems has the potential to ...

A new clinical decision support tool for primary care providers (PCPs) led to a modest improvement in reinitiation of angiotensin-converting enzyme (ACE) inhibitors and angiotensin receptor blockers ...

WALTHAM, Mass.--(BUSINESS WIRE)--Wolters Kluwer Health today unveiled the next generation of clinical decision support (CDS) solutions, bringing together point-of-care decision support, workflow ...

The clinical decision support space within the broader healthcare AI market is getting more and more crowded, with startups spawning a plethora of tools that help clinicians complete a variety of ...