Corvus, a Chicago-based startup aiming to simplify the surgical referrals process, announced its launch. The company’s AI platform helps healthcare teams manage inbound surgical referrals more efficiently, ensuring patients are routed to the right treatment while also optimizing operating room utilization.
At MedCity News’ Tête-à-tête Health event, executives from Sutter Health and Tampa General Hospital discussed how they are deploying AI, as well as how they are keeping governance and the human touch at the forefront.
Richard Fu details the company's approach to nutrition therapy and strategy for patients using GLP-1s.
Town Hall Ventures launched its fourth fund, targeting $440 million to back startups using AI to improve healthcare access and outcomes for underserved populations.
Docology is tackling inefficiencies in the patient referral process by using AI to automate and summarize medical records. The company recently won MedCity News’ INVEST Digital Health startup pitch competition, highlighting its potential to fill a critical gap in clinical workflows.
Accrediting an AI system is a comprehensive, multi-stage process designed to ensure lasting quality and accountability.
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.
How Apella leverages technology to increase OR efficiency.
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.
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.
How Zelis hopes to solve the healthcare financial system for payers and providers.
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.
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.