New & Notable
OIG found limited coordination, oversight of VA's genAI tools
The watchdog observed gaps in the coordination and oversight of generative AI chat tools used at the VA for clinical documentation and patient care, raising patient safety concerns.
Survey: GenAI governance falling behind rapid provider adoption
While nearly half of clinicians use GenAI daily, only 27% report their organization has published AI policies, revealing critical governance gaps as AI concerns mount.
How Inova modernized its data architecture to prepare for AI apps
Inova went through a data modernization effort to prepare the health system's data foundation to support the rollout of capabilities such as AI agents and ambient scribes.
General-purpose AI beats out specialized clinical AI in some assessments
A new study challenges the value proposition of specialized clinical AI tools, showing they underperformed compared to general-purpose AI models across medical benchmarks.
CHAI releases AI governance guidance for health systems
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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.
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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.
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Latest News
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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.
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OpenAI launches ChatGPT for Clinicians
ChatGPT for Clinicians, designed to assist with clinical workflows and support research, is free for any U.S.-based physician, pharmacist, nurse practitioner or physician assistant.
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AMA urges greater oversight of AI mental health chatbots
The association sent letters to Congress highlighting the risks associated with AI-enabled mental healthcare and suggesting regulatory safeguards necessary to combat them.
Features
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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.
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LLMs struggle with clinical reasoning, study finds
A Mass General Brigham study revealed that LLMs may fail at identifying differential diagnoses, but could deliver accurate diagnoses when fed with complete patient information.