New & Notable
How home healthcare providers are using AI to avoid compliance gaps
AI can help spot issues in documentation, scheduling and credentialing that create compliance headaches for home healthcare providers.
Inside HHS's AI push: Department efforts align around governance, collaboration
Several HHS department leaders shared how they are accelerating clinical AI adoption, emphasizing the need for governance and collaboration along the way.
HHS details takeaways from sweeping AI request for information
The healthcare sector wants the HHS to coordinate its AI strategy across agencies, provide implementation and governance support, and offer help in evaluating AI tools, leaders said Thursday.
— Healthcare Dive
OpenEvidence brings AI-powered heart disease detection to doctors
Physicians who use OpenEvidence will soon have access to EchoNext, an AI model that can predict whether a patient has structural heart disease.
Sponsored Sites
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Cloud
Oracle Healthcare
Oracle Health is building an open healthcare platform with intelligent tools for data-driven, human-centric healthcare experiences to connect consumers, healthcare providers, payers, and public health and life sciences organizations.
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Autonomous Coding
Solventum
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Risk Adjustment Compliance
RAAPID
RAAPID develops AI-powered risk adjustment solutions for healthcare payers, providers, and supporting organizations. The company's HITRUST-certified platform uses Neuro-Symbolic AI to identify chronic conditions, determine HCC codes, and provide explainable documentation for complete audit defense. Backed by M12 (Microsoft's venture fund), RAAPID serves organizations participating in Medicare Advantage, ACA, Medicare ACO, and Medicaid programs with both retrospective and prospective risk capture capabilities. Founded by healthcare technology veterans with over 20 years of experience, RAAPID is headquartered in Louisville, Kentucky.
Healthcare Strategies: A Podcast
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A podcast for healthcare professionals seeking solutions to today's and tomorrow's top challenges. Hosted by the editors of Xtelligent Healthcare Media, this podcast series focuses on real-world use cases that are leading to tangible improvements in care quality, outcomes, and cost.
Guests from leading provider, payer, government, and other organizations share their approaches to transforming healthcare in a meaningful and lasting way.
View All Episodes
Latest News
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Mayo Clinic, Microsoft join forces on frontier health AI model
The frontier health AI model, owned by Mayo Clinic and deployed by Microsoft, will support clinical decision-making, including early disease identification and personalized treatments.
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Health AI governance is growing, but lacks unified policy frameworks
A new Health & AI Policy Index reveals a growing health AI governance landscape, but one that is fragmented, creating operational challenges for healthcare stakeholders.
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Physicians mostly agreed with AI in Utah's AI prescribing pilot
The state has released five-month results of the pilot, which show human physicians agreed with AI's prescription renewal recommendations in most cases.
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Less than half of nurses are using AI, despite interest
Fewer nurses than physicians are using AI, even though they view the tools as useful in reducing administrative burdens and supporting patient care, a new survey shows.
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AI outperforms docs on clinical reasoning, but not ready for solo work
While an advanced LLM outperformed physicians and older models across clinical reasoning tasks, researchers warn that AI cannot yet replace clinicians and urge new testing approaches.
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Clinical AI company Aidoc snags $150M in new funding
The company will use the new funds to scale its aiOS platform and CARE foundation model, which powers a CT-based triage solution that has received FDA clearance for 11 indications.
Features
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Why radiologists prefer domain-specific AI over generic AI
Custom AI models achieved better results on radiology impressions and reports than generic AI radiology models, according to a recent study.
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Agentic AI meets specialty care: How an orthopedic practice is simplifying post-surgical care
Michigan Orthopedic Center teamed up with a vendor to develop a voice-based AI system that helps the practice navigate post-procedure patient assessments.
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Mitigating shadow AI use among clinicians as demand grows
Slow enterprise AI deployment is driving shadow AI utilization, but health systems can curb it by streamlining adoption and offering secure alternatives.
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How algorithmic value sets enhance clinical decision-making
As healthcare providers study data to make decisions on the level of care, structured, intelligent algorithms can speed up these workflows for clinical reviewers.