Stay up to date on the latest in health tech, digital health and health AI news with this weekly brief. This is news from the week of June 22 to 26.
Innovaccer inks strategic collaboration with Amazon Web Services
Innovaccer and Amazon Web Services (AWS) signed a multi-year strategic collaboration agreement to help health systems and payers deploy agentic AI solutions at scale.
The collaboration aims to bridge the gap between working AI pilots and deployments that meet security, compliance and scale requirements. Through the agreement, Innovaccer will scale agentic AI workloads using AWS services while expanding go-to-market through the AWS marketplace.
Innovaccer CEO and co-founder Abhinav Shashank said in a statement AI in healthcare “has a production problem, not an innovation problem.”
“The organizations we work with are not short on ambition,” Shashank said. “What they need is the infrastructure to run AI agents reliably, securely, and at the scale their operations demand. AWS gives us exactly that, and what we bring is a decade of healthcare-native context that makes those agents actually work in the environments health systems and payers operate in every day. This agreement is about closing the gap between what AI can do for healthcare and what healthcare is currently getting from it.”
The collaboration also includes co-investment in customer success programs, the companies say.
Houston Methodist deploys HealthLeap AI nutrition risk identification platform
Houston Methodist launched Thursday HealthLeap’s AI-driven clinical screening platform for identifying patients at risk of inadequate nutrition.
The system screens 100% of inpatients daily throughout the entire care journey. The continuous monitoring allows for earlier interventions, the company says, and in turn may help reduce complications, prevent avoidable care delays and support shorter stay times.
“At Houston Methodist, we are focused on strengthening how we identify patients who may benefit from additional nutrition support,” said Michelle Stansbury, Houston Methodist associate chief innovation officer and VP of IT applications, in a statement. “By incorporating advanced screening tools into the clinical workflow, we can help care teams recognize risk earlier, intervene sooner, and support more timely recovery for patients.”
Invoca launches patient engagement AI agent
AI-powered revenue execution platform Invoca launched an AI agent that turns marketing-driven communications into revenue.
The company says the solution—dubbed Nico—"engages, qualifies, and converts leads for businesses” by drawing on first-party data and makes personalized conversations from the first exchange. It engages and converts inquiries from website forms, inbound phone calls, digital advertising leads and more.
Invoca CMO Peter Isaacson said consumers want “responsive, personalized communication in the channel of their choice.”
“Nico is the AI agent purpose-built to close that gap, connecting every channel, every media dollar, and every outcome so each conversation ties back to the revenue it creates,” Isaacson said. “That is the next-generation buyer journey, and Nico is helping enterprise B2C companies deliver it.”
The solution is available through Invoca’s AI Messaging Agent and in beta with its AI Voice Agent.
Cleveland-based University Hospitals is one organization that has implemented the tool. Matt Eaves, University Hospitals vice president of digital marketing, said in a statement the solution “recovered 25 appointments” during its first night.
“Additionally, the AI agent received a text from a patient within our hospital who was reaching out for help,” Eaves said. “Because he stated he was in the hospital, the AI correctly informed him to find a staff member for assistance. It's an impressive use case of something that wasn't in the AI's scripting, yet it handled it appropriately.”
Mount Sinai partners with Signal 1 to improve AI governance
Mount Sinai Health System inked a partnership with AI management system (AMS) platform Signal 1 to centralize oversight and performance monitoring on its suite of AI solutions.
The organizations say the partnership reflects shared commitment to “advancing safe, transparent, and high-impact AI in healthcare.” Through the collaboration, Mount Sinai will gain Signal 1’s platform which contains a slew of capabilities, including streamlined AI intake and approval workflows, automated monitoring and reporting for deployed AI solutions and return on investment (ROI) and impact tracking.
“As we expand across a diverse set of AI applications — from imaging to generative AI to emerging agent-based systems — our priority is ensuring we can monitor performance, safety, and impact at scale without slowing innovation,” said Robbie Freeman, Mount Sinai Health System chief digital transformation officer, in a statement. “Signal 1 gives us the structure and visibility to manage a diverse and growing AI portfolio — allowing our researchers and data science teams to focus on delivering innovation, differentiated solutions, and research.”
OpenAI highlights healthcare-focused ChatGPT features
OpenAI unveiled major improvements in ChatGPT's health capabilities with the release of GPT-5.5 Instant, which it says improves health information quality and user guidance.
The GPT-5.5. Instant model is seeing improvements in recognizing when urgent care may be necessary, asking for relevant context, explaining uncertainty and making complex information understandable. The free model now performs at a level comparable to the company’s frontier thinking model, executives said in a blog post.
“As our models continue to improve, our goal is to make ChatGPT more accurate, more useful, and more impactful in those moments — and to keep bringing that progress to more people,” the company said.
OpenAI works with more than 260 physicians across 60 countries, who have reviewed more than 700,000 example model responses to date, according to the June 18 announcement.