Get the latest news in health technology, digital health and health AI with this weekly overview. News for the week from June 22nd to 26th.
Innovaccer strengthens strategic collaboration with Amazon Web Services
Innovaccer and Amazon Web Services (AWS) have entered into a multi-year strategic collaboration to help health systems and payers deploy agent-based AI solutions at scale.
This collaboration aims to bridge the gap between practical AI pilots and deployments that meet security, compliance, and scale requirements. With this agreement, Innovaccer will use AWS services to scale its agent AI workloads while expanding its go-to-market through the AWS Marketplace.
Abhinav Shashank, CEO and co-founder of Innovaccer, said in a statement that AI in healthcare “is not an innovation problem, it’s a production problem.”
“There is no lack of ambition in the organizations we work with,” Shashank said. “What they need is the infrastructure to run AI agents reliably, securely, and at the scale they need to operate. AWS gives us exactly that, and what we bring is a decade of healthcare-native context that allows these agents to actually operate in the environments that health systems and payers operate in every day. We aim to bridge the gap between
The partnership also includes joint investments in customer success programs, the companies said.
Houston Methodist deploys HealthLeap AI nutrition risk identification platform
Houston Methodist on Thursday launched HealthLeap’s AI-powered clinical screening platform to identify patients at risk for nutritional deficiencies.
The system tests 100% of admitted patients daily throughout the treatment period. According to the company, continuous monitoring allows for early intervention, which in turn may reduce complications, prevent avoidable treatment delays, and shorten length of stay.
“At Houston Methodist, we are focused on enhancing the way we identify patients who may benefit from additional nutritional support,” Michelle Stansbury, associate chief innovation officer and vice president of IT applications at Houston Methodist, said in a statement. “By incorporating advanced screening tools into clinical workflows, healthcare teams can recognize risks earlier, intervene sooner, and support patients’ more timely recovery.”
Invoca launches patient engagement AI agent
Invoca, an AI-powered revenue execution platform, has launched an AI agent that turns marketing-driven communications into revenue.
The company says the solution, called Nico, leverages first-party data to “capture, qualify, and convert leads” to create personalized conversations from the first interaction. Capture and convert inquiries from website forms, incoming calls, digital advertising leads, and more.
Invoca CMO Peter Isaacson said consumers want “responsive, personalized communications on the channels of their choice.”
“Nico is an AI agent purpose-built to bridge that gap, connecting every channel, every media dollar, every outcome, and connecting it to the revenue that each conversation generates,” Isaacson said. “That’s the next generation buyer journey, and Nico is helping enterprise B2C companies make it happen.”
This solution is available through Invoca’s AI Messaging Agent and as a beta version of AI Voice Agent.
Cleveland-based University Hospitals is one of the organizations that has implemented the tool. Matt Eaves, University Hospital’s vice president of digital marketing, said in a statement that the solution “restored 25 appointments” on the first night.
“Additionally, the AI agent received text messages from patients who asked for help within the hospital,” Eaves said. “Because he said he was in the hospital, the AI correctly told him to look for staff to assist him. This is a great use case that wasn’t in the AI’s script, but that the AI handled well.”
Mount Sinai partners with Signal 1 to improve AI governance
Mount Sinai Health System has partnered with AI management system (AMS) platform Signal 1 to centralize monitoring and performance monitoring of its suite of AI solutions.
The organizations say the partnership reflects a shared commitment to “advancing safe, transparent, and impactful AI in healthcare.” Through this partnership, Mount Sinai will acquire Signal 1’s platform, which includes a number of features including streamlined AI uptake and approval workflows, automated monitoring and reporting of deployed AI solutions, return on investment (ROI) and impact tracking.
“As we expand our range of AI applications, from imaging to generative AI to emerging agent-based systems, our priority is to enable monitoring of performance, safety, and impact at scale without slowing innovation,” Robbie Freeman, chief digital transformation officer at Mount Sinai Health System, said in a statement. “Signal 1 provides structure and visibility to manage a diverse and growing AI portfolio, allowing researchers and data science teams to focus on delivering innovation, differentiated solutions, and research.”
OpenAI highlights ChatGPT features focused on healthcare
OpenAI has announced significant improvements to ChatGPT’s health features with the release of GPT-5.5 Instant, which it says will improve the quality of health information and user guidance.
GPT-5.5. The instant model shows improvements in recognizing when emergency care is needed, asking for relevant context, accounting for uncertainty, and making complex information easier to understand. The free model is currently functioning at a level comparable to the company’s Frontier Thinking model, executives said in a blog post.
“As our model continues to improve, our goal is to make ChatGPT more accurate, more useful, and more impactful in the moment, and to continue to bring its advances to more people,” the company said.
OpenAI is working with more than 260 doctors in 60 countries, who have reviewed more than 700,000 model responses, according to a June 18 announcement.
