At DiMe’s Healthcare 2030 Summit, four healthcare leaders shared the innovations they believe could most improve care, from AI-driven solutions to reduce medical errors to stronger primary care relationships that could save billions.
Agentic AI is starting to make a splash in the healthcare world, but one attorney warns that it could also push the industry into a gray area of liability and patient safety. Without strong guardrails, errors could have life-or-death consequences, said Lily Li, founder of law firm Metaverse Law.
Greenway Health blends smart technology with human expertise to elevate revenue cycle.
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.
Penguin Ai raised $29.7 million for its AI platform aimed at automating costly administrative tasks like prior authorization and medical coding. CEO Fawad Butt said the startup’s goal is to move beyond point solutions and create an “Epic of the healthcare back office.”
The clinical decision support market is evolving quickly. With heavy investor backing and competing strategies around specialization, data depth and distribution, the coming years will determine which companies emerge as lasting leaders at the point of care.
In a crowded healthcare AI market, the winners will be those that control key leverage points — where data is created, workflows are streamlined and value is delivered across stakeholders. This will differentiate winning AI startups from incumbents and copycat competitors, said Morgan Cheatham, head of healthcare and life sciences at Breyer Capital.
Meevo offers an all-in-one solution for managing salon and spa employees. From scheduling and time tracking to payroll and promotions, Meevo streamlines operations and supports growth.
Lawmakers and health experts convened on Capitol Hill this week to discuss the use of AI in healthcare. They highlighted the technology’s potential to reduce administrative burdens and boost care access in rural areas — while also warning about oversight gaps and the risks of AI-driven prior authorization.
Chirag Shah, partner at Define Ventures, thinks the success of a healthcare AI startup often depends on its ability to move beyond a narrow point solution. By integrating AI into workflows and expanding from initial “wedges” into full platforms, startups can stand out from the competition, he said.
At Epic’s annual Users Group Meeting, the EHR behemoth highlighted its growing AI strategy — announcing tools promising to benefit providers, payers and patients alike.
As AI chatbots become a surrogate for human connection amid a national mental health crisis, experts are worried about these tools’ lack of safeguards — with research showing the models can provide dangerous, sometimes fatal, advice. Regulators and providers alike are scrambling to catch up with a technology that evolves faster than humans are able to understand.
In this episode hear how improving benefit verification, prior authorizations, and patient affordability with smart integrations and real-time eligibility can streamline healthcare workflows.
Medical coding startup Arintra raised $21 million in Series A funding to help hospitals and physician groups secure accurate, timely reimbursement. The company’s AI-powered platform automates coding, spots documentation gaps and generates claims tailored to specific payers.
Mount Sinai researchers found that popular AI chatbots like ChatGPT and DeepSeek R1 can generate convincing but false medical information when given even a single fabricated term in a prompt. While the study underscored the need for stronger safeguards, its lead author noted that generative AI still holds major promise for reducing clinician workload if used responsibly.
Translucent AI raised $7 million in seed funding to help healthcare providers better manage mounting financial pressures. Its AI-powered platform is designed to give hospital leaders instant, plain-language answers to complex financial questions.
Healthcare AI progress could soon stall due to fragmented, inaccessible data systems, warned OMNY Health CEO Mitesh Rao. He said that scalable AI requires a more interoperable data infrastructure — and without it, even it will be difficult for advanced AI solutions to succeed.
In a new action plan, the White House aims to boost the country’s AI innovation through deregulation, infrastructure expansion and new incentives. Overall, the move is welcomed by healthcare AI leaders — but they did notice some omissions, including AI safety, patient consent and the role of key healthcare regulators.