UnityPoint Health's chief medical officer, Gregory Johnson, shared several ways the system is using AI to lift administrative burden off clinicians and get them back to patient care — including ambient scribing, real-time capacity tracking and AI-powered chart review.
AI built on transparent, causal reasoning, systems that ground every output in validated biological mechanisms, show the pathway behind each recommendation, and cite their sources is what makes the difference between a tool that erodes clinical trust and one that rebuilds it.
Healthcare payments are no longer about transactions. It’s about controlling the revenue cycle. And increasingly, that control is not sitting with ISOs.
Clinical AI startup Abridge held a New York City event to signal it's done being thought of as just an AI scribe. The company announced a Nvidia foundation model partnership, an Eli Lilly investment, new capabilities for its platform, and the intent to help mediate the relationship between payers and providers.
The next phase of AI in healthcare is about building systems where human clinicians, supervisors, and AI can all contribute, challenge each other, and improve how decisions are made.
The next wave of radiology AI value will come from closed-loop follow-up. An actionable finding should start a pathway with a measurable end state: the follow-up exam is completed, the referral is completed, or the recommendation is clinically resolved with a documented rationale.
Bessemer Venture Partners predicts that 2026 will be a breakout year for healthcare AI, driven by increased adoption of clinical AI, a new class of AI-first value-based care companies, and the emerging digital health category of data infrastructure tools.
In an interview, Kyan Health Co-Founder and Chief Commercial Officer Konstantin Struck discussed how Kyan gives mid-market and enterprise employers access to premium workforce mental healthcare, at a price point that is affordable.
When designed responsibly, AI can be a powerful instrument that provides instant access to expert-curated information. As a result, clinicians can make more informed decisions without sacrificing that vital human-to-human connection.
Duke University Health System is deploying a mix of homegrown and purchased AI tools to ease clinicians’ administrative burden and improve patient care. Chief Nurse Executive Terry McDonnell highlighted that while AI can’t replace nurses’ judgment, it can help free up their time for what matters most.
Israeli clinical AI startup Aidoc raised $150 million in a funding round led by General Catalyst and Square Peg, with participation from four U.S. health systems. The company has more than 150 health system customers.
The failure of IBM’s marketing-first approach to clinical AI was entirely predictable, but it didn’t have to be this way. Here’s how AI can be implemented effectively.
By reducing administrative burden and redesigning workflows around human needs, it creates space for what matters most: connection between clinicians and patients.
By helping patients find affordable healthcare, AI will promote stronger financial health for providers and patients alike, and improve the quality of care as patients gain the financial support to engage in more preventative healthcare.