Luminai raised $38 million in Series B funding to scale its AI platform that automates healthcare administrative workflows. The company is working with Cleveland Clinic to expand the use of its system across high-volume processes, starting with referral management.
Uma (Veerappan) Nuggehalli of Flare Capital Partners thinks the healthcare AI startups that will come out on top will be companies that integrate seamlessly into workflows, build proprietary datasets and quickly determine how to sell their technology.
Zelis highlights how employers, payers, and consumers are integrating digital tools to manage healthcare costs.
Mass General Brigham evaluates AI tools by carefully monitoring real-world performance before scaling them system-wide. At HIMSS earlier this month, Rebecca Mishuris, the health system’s chief health information officer and vice president of digital, explained what this process looks like.
Michael Meucci, CEO of health data platform Arcadia, thinks health systems are changing their thinking about ROI when it comes to AI projects. As providers face tighter budgets, he said they’re broadening how they measure AI’s ROI, including benefits like reducing clinician burnout.
Fawad Butt, CEO of Penguin Ai, gave his candid thoughts on where the healthcare AI market is headed, including how data leakage could be fueling smarter AI models and the limits of agentic AI in enterprise settings.
At Wayne General Hospital in rural Mississippi, clinicians are using Eko Health’s AI-powered digital stethoscope to detect heart conditions earlier in patients with limited access to specialists.
MedCity News was at the Vive conference and spoke with executives who shared their insights for the healthcare industry.
Utah is piloting an AI system developed by Doctronic to autonomously handle routine prescription refills, aiming to reduce delays and boost medication adherence. But a report from Mindgard AI claiming that there are vulnerabilities in the company’s chatbot underscores the broader challenge regulators and developers face in ensuring healthcare AI systems remain safe and reliable in real-world use.
Katie Jacobs Stanton, founder of Moxxie Ventures, shared some details of how she and her team evaluate healthcare AI startups. She stressed the need for founders with deep industry expertise, differentiated products and realistic distribution strategies.
Epic has unveiled its new “agent factory,” a platform that lets health systems build AI agents that are capable of orchestrating entire workflows across the EHR.
Microsoft launched Copilot Health, an AI model that pulls together users’ medical records, wearable data and trusted health information. The move comes amid a wave of other tech companies announcing healthcare-focused large language models for consumers, including Anthropic, OpenAI and Amazon.
Small practices play a critical role in healthcare delivery, but they cannot continue to absorb ever-increasing administrative demands without consequences.
Presbyterian Healthcare Services has rolled out an AI-powered precision care platform to 200 primary care providers, helping them review charts, identify care gaps and make faster treatment decisions. The tool is also designed to maximize each visit, especially for rural patients who travel long distances to receive care.
If leading hospitals are using these AI tools, and the companies mention HIPAA compliance on their websites, are the consumer AI health tools also regulated by HIPAA? Do consumers share a similar relationship with these companies as healthcare organizations do?
Ratnakar Lavu, Elevance Health’s chief digital information officer, said the company is using AI to streamline approvals, claims processing and member support while keeping denials under human review.
Since adopting Arintra’s AI platform for medical coding in 2023, Mercyhealth has seen a 5.1% rise in revenue and a 50% decline in its days in accounts receivable. The AI-powered platform automates coding, spots documentation gaps and generates claims tailored to specific payers.
Health informatics leaders at NYU Langone Health think fully autonomous clinical AI is coming in the next five years or so, with algorithms soon able to manage routine tasks like blood pressure medication titration and diabetic retinopathy screening without human oversight. They argue automation is not just about efficiency, but also a practical and necessary solution to workforce shortages and system inefficiencies.