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 ...
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 Food and Drug Administration today released two guidance documents; one related to low-risk wellness products (including ...
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 ...
It’s no secret that artificial intelligence (AI) tools are quickly becoming integrated into everyday clinical care. From real-time support in the operating room to note-writing assistance and patient ...
The addition of a clinical decision support tool improved the systolic blood pressure (SBP) among patients with chronic kidney disease and uncontrolled hypertension, according to a new study published ...
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 ...
DoseMe Acquires Firstline to Build End-to-End Clinical Decision Support for Health Systems in the Global Fight Against Infectious Disease Unified platform combines protocol guidance and precision ...
Liability framework health systems clarifies AI accountability across developers, clinicians and health systems to reduce risk and support adoption.
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