What You Should Know:
- New flagship research from athenahealth’s intelligence hub reveals a critical maturity milestone in healthcare AI: the shift from experimental admin tools to trusted clinical partners.
- A national survey of 501 clinicians and administrators found that 86% now feel comfortable delegating or sharing the responsibility of catching easy-to-miss details in patient records with AI.
- While adoption is surging—with 62% of practices now using four or more AI
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AVIA Expands Agentic AI Collaborative with Second Health System Cohort and New Catalyst Program
What You Should Know:
- AVIA has expanded its Agentic AI portfolio by launching a second national cohort of seven health systems, including Rush University System for Health and LifeBridge Health, to operationalize AI that "does" rather than just "chats".
- The announcement also introduces "AVIA Nexus Catalyst," a new 12-week program launching in early 2026 powered by Lumeris, specifically designed to co-create AI automation frameworks for primary care. The initiative splits
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The Many Hats of Health IT: Why Lifelong Learning Is No Longer Optional
The digital transformation sweeping across healthcare is reshaping not only patient care and administrative workflows, but also the skill sets demanded of IT professionals in the sector. Health IT practitioners are expected to wear many hats today: software developer, data scientist, cybersecurity analyst, cloud architect, and increasingly, AI integration specialist.
With hospitals and healthcare organizations relying on increasingly complex technology infrastructures to maintain compliance,
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Hospital Cybersecurity Trends 2026: Top IoMT Challenges, Statistics, and Risk Management Strategies
What You Should Know:
A new report from Asimily reveals that despite the explosion of connected care, hospitals are flying blind.
- A survey of North American CISOs found that 43% list "complete device visibility" as their most urgent unsolved challenge, while one-third blame internal process breakdowns for their inability to secure medical devices. With the average hospital now managing 350,000 connected devices, the industry is struggling to move from reactive patching to
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Tebra Secures $250M to Challenge Legacy EHRs with AI-Powered Automation
What You Should Know:
- Tebra has raised $250M in new equity and debt financing, led by Hildred, to transform its EHR+ platform from a passive "System of Record" into an active "System of Action" using AI.
- The funding will accelerate the rollout of AI tools designed to automate clinical documentation, revenue cycle management, and patient marketing for independent practices. Tebra's goal is to level the playing field for private providers facing burnout and financial pressure
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Why Cardiologists Are Betting $19M on Wearlinq to Fix the “Single-Lead” Problem in Heart Monitoring
What You Should Know:
- Wearlinq has secured $14M in Series A funding (plus $5M in venture debt) to scale its eWave device, the first continuous 6-lead wireless ECG that offers hospital-grade diagnostics in a comfortable wearable led by AIX Ventures with participation from SpringTide and the Berkeley Catalyst Fund.
- The FDA-cleared device solves a critical gap in cardiac care by pairing directly with smartphones to deliver near real-time data, moving beyond the limitations of
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HFMA Survey: 80% of Health Systems Adopt GenAI for Revenue Cycle as Documentation Risks Rise
What You Should Know:
- For decades, the "revenue cycle"—the complex machinery of medical billing, coding, and reimbursement—has been the unglamorous back office of healthcare. But in 2025, it has become the frontline of AI adoption.
- According to a new survey released by the Healthcare Financial Management Association (HFMA) and AKASA, the adoption of Generative AI has moved past the experimental phase into operational necessity. With nearly 9% of hospital revenue now evaporating
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The Rise of Hybrid Intelligence: Healthcare Leaders Reject Autonomous AI in Favor of Clinical Validation
What You Should Know:
- A new market survey from Carta Healthcare reveals that hospital leaders are overwhelmingly rejecting fully autonomous AI in favor of "hybrid intelligence" models that pair technology with clinical expertise.
- With 62.5% of respondents citing data misinterpretation as a critical risk of "black box" systems, the industry is cementing a preference for AI that augments rather than replaces human decision-making.
The End of the "Black Box": Why Hospitals
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40% of Nurses Planning to Quit: How Streamlined EHR Workflows Can Save the Profession
What You Should Know:
A new report from the KLAS Arch Collaborative reveals that the overwhelming burden of documentation is a primary driver of nurse burnout, with 40% of nurses intending to leave the profession by 2029.
- The study also highlights that meaningful progress is possible: organizations that have implemented specific strategies to streamline charting—such as eliminating redundant fields and utilizing AI—have seen dramatic improvements in nurse
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Democratizing Data: How WellSky and uMed Are Bringing Clinical Trials into the Living Room
What You Should Know:
- WellSky and uMed have formed a strategic partnership to integrate clinical research opportunities directly into the workflows of home-based care providers. By combining WellSky’s network of 10,000 providers with uMed’s automated registry platform, the initiative allows patients—particularly in underserved and rural areas—to participate in national research registries without leaving their homes.
- The model is designed to generate high-quality real-world data
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