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 ...

Decision support and group support systems encompass interactive software and procedural frameworks designed to aid individuals and teams in analysing complex problems, exploring alternatives and ...

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 ...

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 ...

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 ...

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 ...

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 ...

The use of enabling technologies, such as artificial intelligence (AI), machine learning (ML) and natural language processing (NLP), for improving data preparation, insights generation and explanation ...

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 ...

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 ...