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 ...

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 ...

Effective organization of the vaccine supply chain is vital to achieve high vaccination rates in pandemics. This paper presents a novel approach for developing a decision support system (DSS) to ...

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 ...

An information and planning system that provides the ability to interrogate computers on an ad hoc basis, analyze information and predict the impact of decisions before they are made. THIS DEFINITION ...

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. A cross-sectional ...

Like virtually every other industry, health care is increasingly prioritizing digital transformation. The sector is unique, however, in that its results are measured not only in business terms but ...

Economic stability is directly reliant on agriculture millions of individuals earn their livelihood from it. And yet farmers continue to struggle to get a reliable grip on soil content, choose the ...

The rising complexities of chronic disease management and the accelerated growth of healthcare’s big data present a challenge—and an opportunity. Although more and more clinical data is available in ...

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 ...

Despite the extensive body of research on decision making, it remains a source of great frustration for many leaders and companies. This may be because decision science often zeroes in on the decision ...