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.
There are a number of criteria for selecting the best autism therapy centers. Parents choosing a facility or professionals seeking to improve their offerings should consider certain standards to ensure the right fit.
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.
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.
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.
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.
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.
Scheduling software is helpful for wellness business owners in numerous ways. They get everything they need to create appointments, reschedule clients and track cancellations in one platform.
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.
Most patients are open to the use of AI in healthcare — as long as it enhances, rather than replaces, human interaction, according to new research. It also showed that patients want transparency about how AI is used.
As hospitals face ongoing cost pressures and supply chain disruptions, Allina Health is redesigning its procurement strategy by moving away from a decentralized sourcing model and toward an approach that prioritizes governance and tech-driven efficiencies. Chief Supply Chain Officer Tom Lubotsky shared how the health system is saving money and boosting supply chain resilience.
Digital health funding held steady in the first half of 2025, with AI-focused startups capturing the majority of capital and driving rapid adoption among providers. The digital health space also saw two long-awaited IPOs as well as rising M&A activity, which are two signals of market maturity — but looming policy shifts may challenge long-term growth.