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 ...

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 ...

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 ...

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.

Clinical evidence is always evolving, but traditional clinical process map development and EHR build cycles often take months. In his upcoming HIMSS26 session, one informatics leader will show how to ...

A recent multicentre study led by Amsterdam UMC and conducted in nine Dutch Intensive Care Units (ICUs) has shown that tailoring a computerised decision support system (CDSS) to the ICU environment ...

Although there is no true definition of what constitutes clinical decision support (CDS) – which can include virtually any tool for automated alerts, clinical guidelines, diagnostic support and more – ...

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 ...

Decision intelligence is a new field that helps support, augment and automate business decisions by linking data with decisions and outcomes. It uses a combination of methods (e.g., decision mapping ...

Handler, Abram; Larsen, Kai R.; Hackathorn, Richard. Large language models present new questions for decision support. International Journal of Information Management ...