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 ...

Adaptive Decision Support Systems (ADSS) are computational systems designed to assist entities in making informed decisions by dynamically adapting to changing circumstances, user preferences, 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 ...

Sutter Health is incorporating artificial intelligence-powered decision support technology into its electronic health record workflows so doctors will be able to access updated care guidelines, ...

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 ...

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 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 ...