Health plans face mounting pressures to deliver personalized member experiences, enhance quality metrics, manage risk, and prepare for AI adoption. However, these efforts often stall due to fragmented and inconsistent data across various systems, including member records, provider networks, claims processing, and analytics platforms.
A webinar on July 22 from 1-2 PM ET, sponsored by Verato, will feature executives from Verato, Scan Health Plan, and the Alliance of Community Health Plans examining how a robust data foundation can bridge gaps between people, providers, and organizational relationships. Discussions will center on critical pain points in data fragmentation, the role of trusted identity and governance in AI-driven initiatives, and actionable strategies to boost member satisfaction, operational efficiency, and AI preparedness.
Martin Hougaard, Vice President of Product Marketing at Verato, will moderate the session. A veteran in healthcare data and identity management, Hougaard specializes in helping health plans leverage accurate, integrated data to drive analytics, personalization, and efficiency.
Vinay Kulkarni, Chief Information Officer at Scan Health Plan, oversees digital transformation initiatives focused on automation, cloud infrastructure, and IT optimization. His work emphasizes scalable solutions that enhance efficiency and member experience while supporting long-term growth.
Thomasina Anane, Associate Vice President of Enterprise Analytics at the Alliance of Community Health Plans (ACHP), leads data-driven strategies at the intersection of health policy and analytics. Previously a consultant at Manatt Health and a specialist with the CMS Innovation Center, she brings extensive expertise in translating data insights into clinical and advocacy priorities.
Key topics to be addressed include:
- Which areas of health plan operations are most affected by data fragmentation: member experience, quality metrics, payment accuracy, or provider systems?
- Why do many payer data and analytics initiatives fall short of achieving trust or actionable outcomes?
- What defines AI readiness for health plans beyond conventional cloud or analytics teams?
- How can organizations establish unified identity management across members, providers, households, and administrative structures?
- Which use cases are most reliant on precise identity resolution and data quality as foundational requirements?
