For decades, clinical decision support systems have relied on static, rule-based algorithms. These systems treated patients according to broad categories: If a person is diagnosed with diabetes ...

This system permits improved access to important clinical information, direct entry of the data by physicians and clinical staff and clinical decision support tools at the point of care. All ...

Medical decision support systems (MDSS) play an increasingly important role in medical practice. By assisting physicians with making clinical decisions, MDSS are expected to improve the quality of ...

SimBioSys announced that it received its second FDA 510(k) clearance for TumorSight Viz to expand its use by breast surgeons ...

The Regional Coalition to Eliminate Race-Based Medicine has announced that all its member health systems have transitioned ...

Women are more likely to receive good care during pregnancy when AI and other clinical software tools are used, researchers have found.

This important new book provides them with reader-friendly, pragmatic strategies to approach clinical problems as testable hypotheses. It discusses how to apply concepts based on decision analytic ...

In an era where healthcare systems across the globe are grappling with complex challenges, the University of Cape Town (UCT) ...

Policy-capturing models, data-based aids, expert ('knowledg-based') systems and decision analysis are the main techniques introduced, with attention to both their methodological bases and practical ...

The Board of DXS International plc (the “Company” or “DXSP), the AQSE Growth Market quoted clinical decision support developer and supplier of clinical decision support systems, has received ...

Many health systems are grappling with the issue ... “By eliminating race adjustments in clinical decision support tools, we can help to dismantle harmful stereotypes and ensure that everyone ...