Mike Serbinis, CEO of League, and Sarah Donnelly, the company’s Chief Product Officer, have a straightforward view of where AI can help patients. It starts with assigning the right problems to the right agents and making the experience feel simple to the person on the other end.
How purpose-built agents guide patients through real friction
Serbinis described their approach as teams of agents working inside a single platform. In his words, these are “groups of agents working together to solve care navigation, close gaps in care, [and] navigate your benefits.” Each agent has a defined job that maps to a task patients struggle with.
Donnelly expanded on this by highlighting the four patient experience challenges they targeted from the start. “We chose four of the hardest problems that exist in healthcare today,” she said. “[1] Understanding your benefits, [2] what you can access, [3] how much it’s going to cost, [4] how soon you can be seen.”
This design allows organizations to address everything from routine care navigation questions to complex journeys like difficult pregnancies or diabetes.
Baptist Health uses AI to Help Reduce Pregnancy Risk
Donnelly and Serbinis pointed to one example: Baptist Health’s Hello Pregnancy initiative. Patients engaged digitally with a League-powered app throughout their pregnancies.
The results were notable. “The mortality rates are dropping for moms and for babies,” Donnelly said. Serbinis added that the first cohort of Hello Pregnancy users delivered with “lower NICU admission rates, healthier pregnancies, healthier babies.”
The progress of League’s mutli-AI-agent approach is encouraging. It shows that AI’s impact in healthcare is far from the peak and suggests that a practical playbook for deploying agentic systems by aiming them at the right problems first.
Learn more about League at https://league.com/
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