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 ...

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 ...

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 ...

Researchers compared their long-standing diagnostic decision support systems AI tool, DXplain, with modern large language models like ChatGPT and Gemini, finding DXplain performed slightly better.

Intensive care unit (ICU) information systems lie at the heart of modern critical care provision, integrating extensive streams of clinical data with decision support tools to aid healthcare ...

The use of an electronic health record (EHR)–based clinical decision support (CDS) system in emergency departments (EDs) increased adherence to geriatric prescribing recommendations for potentially ...

Decision-making is an essential function in any line of business. It is even more so in healthcare, as each decision can determine the type and quality of care. There is a rise in demand for quality ...

An electronic decision support tool may increase the prescription of guideline–directed medical therapy for patients with acute heart failure (AHF) in emergency departments (EDs), with no serious ...

Prescribing is a complex process with multiple factors to consider on top of the 3 primary questions about effectiveness, harm, and cost. Pharmacogenetics has put this complexity under the spotlight ...