Stay up to date on the latest news in health technology, digital health, and health AI with this weekly letter. This is news from the week of June 22nd to 26th.
Innovaccer Signs Strategic Collaboration with Amazon Web Services
Innovaccer and Amazon Web Services (AWS) have signed a multi-year strategic collaboration agreement to help healthcare systems and payers deploy agent AI solutions at scale.
The collaboration aims to bridge the gap between working AI pilots and deployments that meet security, compliance, and scaling requirements. Under the agreement, Innovaccer will scale agent AI workloads using AWS services while expanding its go-to-market through the AWS Marketplace.
Abhinav Shashank, CEO and co-founder of Innovaccer, said in a statement: “AI in healthcare has a production problem, not an innovation problem.”
“The organizations we work with do not lack ambition,” said Shashank. “What they need is the infrastructure to run AI agents reliably, securely, and at the scale that their operations require. AWS gives us exactly that, and what we bring is a decade of healthcare-native context that enables these agents to actually work in the environments that healthcare systems and payers operate in every day. This agreement is about bridging the gap between what AI can do for healthcare and what healthcare is currently getting from it.”
The collaboration also includes co-investments in customer success programs, the companies say.
Houston Methodist Uses the AI Platform HealthLeap to Identify Nutritional Risks
Houston Methodist on Thursday launched HealthLeap’s AI-driven clinical screening platform to identify patients at risk of inadequate nutrition.
The system checks 100% of inpatients daily throughout the entire treatment period. Continuous monitoring allows for earlier interventions, according to the company, and in turn can help reduce complications, prevent avoidable delays in care, and support shorter lengths of stay.
“At Houston Methodist, we are focused on improving the way we identify patients who could benefit from additional nutritional support,” Michelle Stansbury, deputy chief innovation officer and vice president of IT applications at Houston Methodist, said in a statement. “By integrating advanced screening tools into the clinical workflow, we can help care teams identify risks earlier, intervene earlier, and support faster recovery for patients.”
Invoca Launches AI Agent for Patient Engagement
AI-powered revenue execution platform Invoca has launched an AI agent that converts marketing-driven communications into sales.
The company says the solution, called Nico, “targets, qualifies and converts leads for businesses” by leveraging first-party data and driving personalized conversations from the first exchange. It captures and converts inquiries from website forms, inbound phone calls, digital advertising leads, and more.
Invoca CMO Peter Isaacson said consumers want “responsive, personalized communications through the channel of their choice.”
“Nico is the AI agent specifically designed to bridge this gap by connecting every channel, every media dollar and every outcome so that every conversation has a connection to the revenue it generates,” said Isaacson. “This is the next generation buyer journey, and Nico is helping B2C companies make it happen.”
The solution is available through Invoca’s AI Messaging Agent and in beta with the AI Voice Agent.
Cleveland-based University Hospitals is one organization that implemented the tool. Matt Eaves, vice president of digital marketing for University Hospitals, said in a statement that the solution “restored 25 appointments” on the first night.
“In addition, the AI agent received a text message from a patient in our hospital asking for help,” Eaves said. “Because he said he was in the hospital, the AI correctly instructed him to contact a staff member for help. It’s an impressive use case for something that wasn’t in the AI’s script but was handled appropriately.”
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 oversight and performance monitoring of its suite of AI solutions.
The organizations say the partnership reflects a shared commitment to “advancing safe, transparent and effective AI in healthcare.” The collaboration provides Mount Sinai with Signal 1’s platform, which offers a range of features including streamlined AI onboarding and approval workflows, automated monitoring and reporting for deployed AI solutions, and return on investment (ROI) and impact tracking.
“As we expand into a variety of AI applications – from imaging to generative AI to new agent-based systems – our priority is to ensure we can monitor performance, safety and impact at scale without slowing innovation,” said Robbie Freeman, chief digital transformation officer at Mount Sinai Health System, in a statement. “Signal 1 gives us the structure and transparency to manage a diverse and growing AI portfolio – enabling our researchers and data science teams to focus on delivering innovation, differentiated solutions and research.”
OpenAI Highlights ChatGPT Healthcare-Focused Features
OpenAI introduced significant improvements to ChatGPT’s health features with the release of GPT-5.5 Instant, which it claims will improve the quality of health information and user experience.
The GPT 5.5. The Instant Model sees improvements in identifying when urgent treatment may be needed by asking for relevant context, explaining uncertainties, and making complex information understandable. The free model’s performance is now 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, useful and impactful in these moments – and to bring this advancement to more and more people,” the company said.
OpenAI is working with more than 260 physicians in 60 countries who have reviewed more than 700,000 sample model responses to date, the June 18 announcement said.
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