New & Notable
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.
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.
Sponsored Sites
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Risk Adjustment Compliance
RAAPID
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Revenue Cycle Management
Greenway Health
Improving healthcare through innovation is at the heart of Greenway Health’s work. We provide electronic health records (EHR), practice management, and revenue cycle management solutions that help practices in multiple specialties grow profitably, remain compliant, work more efficiently, and improve patient outcomes.
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Cybersecurity
Commvault + Microsoft
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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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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.
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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.
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.