Dina

About Dina

Dina operates as a digital health company focused on the growing market for at-home healthcare. It was founded in Chicago in 2015 by Ashish V. Shah and David Coyle. Originally named Prepared Health, the company rebranded to Dina in February 2020. The name "Dina" was previously used for its internal digital assistant that analyzed patient data from home. The inspiration for the company came from CEO Ashish Shah's personal experience with his father's care, where he observed a disconnect between in-home caregivers and the broader health system. Before Dina, Shah was the CTO at Medicity, a health information exchange solutions provider that was acquired by Aetna. This background in building large-scale healthcare networks provided a foundation for Dina's mission.

The company's primary clients are health plans, particularly those in the Medicare Advantage and Managed Medicaid markets, as well as hospitals and Accountable Care Organizations (ACOs). Dina's business model centers on a software-as-a-service (SaaS) platform, charging health plans for access rather than the home-based care providers themselves. This strategy aims to build a comprehensive network by removing financial barriers for providers who operate on thin margins. The company has successfully raised capital to fuel its growth, including a $7 million Series A in 2021 and a $7 million Series B in 2024. These funds are allocated to expanding its commercial functions, sales and marketing efforts, and product development.

Dina's core offering is an AI-powered care-at-home platform that acts as a digital network management and coordination solution. It is designed to bridge the communication gap between hospitals, health plans, and a wide array of post-acute and in-home service providers. The platform, which has earned HITRUST certification for information security, provides what the company calls "Care Traffic Control." Its features include tools for digitizing provider networks, automating workflows for supplemental benefits and Long-Term Services and Supports (LTSS), managing referrals, and collecting data from the home. By streamlining communication and replacing manual processes like phone calls and faxes, care coordinators can more efficiently manage patient transitions and services. The system uses artificial intelligence to analyze data captured by caregivers in the home, identify risks, and recommend interventions to prevent avoidable emergency room visits and hospital readmissions. This helps clients like Jefferson Health and SCAN Group to coordinate care, manage supplemental benefits, and improve outcomes for aging populations.