Senior director of data science, Included Health
Jayodita Sanghvi is harnessing data and artificial intelligence to get people the medical care they need.
The Stanford University bioengineering Ph.D. leads the data science team at San Francisco-based Included Health, which provides virtual care, patient navigation and community-based intervention services through health insurers, employers and labor unions.
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Sanghvi's department uses modeling and other data applications to connect patients with the right doctors via Provider Match, an AI-powered recommendation engine.
"We hear these stories from our members of how we've been able to help them through their health journeys," Sanghvi said. "That's definitely what keeps me going."
Sanghvi said her priority in crafting the match engine was to ensure that patients not only got needed treatments, but got them from the best clinicians. "Now, not only can we help people get easier access to care, can we make sure that is high-quality, good care that will actually get them better?" she said.
The utility considers factors such as clinical diagnoses, patient preferences, demographics and insurance coverage. On the provider side, the AI tool includes hundred of models designed to predict patient needs and identify appropriate physicians by weighing data on outcomes, safety, cost and clinical experience.
According to Included Health, Provider Match has reduced costs by about $250 million and boosted screenings for breast and cervical cancer and diabetes A1C levels, influenza vaccination rates, and medication adherence among patients with depression.