Decision support systems (DSSs) and group support systems (GSSs) have evolved into indispensable tools for managing complex decision‐making environments. DSSs provide computer‐assisted analytical ...

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.

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 ...

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 ...

Note: Roche is building a new suite of clinical decision support solutions on the Innovaccer Health Cloud. You can read the announcement, “Innovaccer Announces Collaboration with Roche to Develop ...

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 ...

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 ...

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 ...

The global clinical decision support system market is projected to expand at an approximate CAGR of around 10% throughout the forecast timeline, supported by the rapid adoption of electronic health ...

DAOs were originally meant to eliminate centralized control and focus on transparent, community-driven governance. Although this vision largely succeeded on a technical level, the effectiveness of the ...