How Elevance Health Is — and Isn’t — Using AI
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.
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.
Anterior raised $40 million to expand its AI platform that automates administrative clinical work for health plans. The system can approve care in minutes rather than weeks, aiming to reduce costs and ease the workload for clinicians and payer staff.
OpenEvidence’s $12 billion valuation reflects investor confidence in its bottom-up, doctor-first model. It has driven rapid adoption, with more than 757,000 clinicians using the startup’s free AI medical search tool regularly. That scale is paired with targeted pharmaceutical advertising that’s already pushed the company past a $100 million revenue run rate.
As providers continue to adopt AI in droves, payers are under pressure to modernize their own administrative operations. Alaffia Health says its clinically grounded AI platform can help health plans reduce waste and risk, a bet investors backed this week with a $55 million Series B funding round.
Investors at Breyer Capital think 2026 could mark a turning point in digital health, as logistics become as important as scientific innovation. They highlighted three key trends shaping the market: shifting biotech constraints from biology to delivery, bottom-up product adoption by clinicians, and a wave of consolidation among AI startups.
As OpenAI and Anthropic move deeper into healthcare, experts say AI chatbots are becoming the new front door to medicine. This shift is shaking things up for some health tech startups, redefining the patient-provider relationship, and intensifying debates over safety, privacy and accountability.
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.
AI rivals Anthropic and OpenAI are both expanding their large language models into healthcare. Anthropic is blending its enterprise and consumer tools in a single platform, while OpenAI is separating its consumer-facing ChatGPT Health from its industry-focused OpenAI for Healthcare. They are both targeting patients, providers and researchers with AI tools for tasks ranging from personal health insights to coding to prior authorization.
OpenAI announced a new dedicated platform for health conversations. The company said the new offering is not intended for medical diagnosis or treatment — but rather to provide support for personal health navigation.
HHS proposed changes that would roll back many Biden-era policies, eliminate most health tech certification criteria,and scrap planned transparency requirements for healthcare AI tools. The agency argues the move will reduce regulatory burden and save developers time and money.
New research shows that while health systems are pouring money into AI tools, most are still struggling to use the technology to meaningfully engage patients. Moving beyond generic outreach to “N-of-1 personalization” could be key to closing engagement gaps and improving patient outcomes at scale, said Amy Bucher, chief behavioral officer at Lirio.
Clinical decision support startup Aidoc has become a major player in healthcare AI thanks to its focus on acute, life-or-death cases and its R&D-first approach. As Aidoc continues to innovate, Chief Business Officer Tom Valent thinks its commitment to patient safety and transparency will be key contributors to future success.
Mass General Brigham spun out a new company offering a generative AI platform that can rapidly interpret both structured and unstructured clinical data. Right now, the tool’s primary application is to accelerate and improve the accuracy of patient screening for clinical trials.