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 ...

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 ...

To examine the impact of a clinical decision support system (CDSS) on breast cancer treatment decisions and adherence to National Comprehensive Cancer Center (NCCN) guidelines. Treatment of complex ...

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 ...

Belief rule-based (BRB) systems have emerged as a robust framework for decision support by integrating expert knowledge with quantitative data to manage uncertainty, vagueness, and imprecise ...

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.

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 ...

Clinical decision support systems are poised to become the user interface of choice for clinical interactions with health IT, ultimately supplanting the electronic health record system as the primary ...