Health Plan Interoperability Strategy: Overcoming Clinical Data Siloes

Foundry Webinar

Healthcare data is more complex than data in most other industries but fragmented standards, legal concerns, organizational barriers, and disconnected workflows no longer need to prevent meaningful data exchange.

In this on-demand webinar, Steven Berkow, Head of Value-Based Care Market Strategy at InterSystems, explains how health plans can overcome four common barriers to clinical data interoperability. Learn how an enterprise clinical data strategy can make trusted, normalized information available across quality improvement, risk adjustment, prior authorization, care management, value-based care, and AI initiatives.

What You'll Learn

Why point-to-point integrations can create additional data silos
How a clinical data repository differs from a traditional data lake
What health plans should consider when creating a longitudinal member record
How to make clinical data available within existing operational and provider workflows
Why legal and organizational barriers can be as significant as technical barriers
How a shared clinical data foundation can support multiple use cases without duplicating infrastructure
Why clean, normalized, real-time data is essential for generative and agentic AI

See These Strategies in Practice

Exchange information bidirectionally with providers using Epic and other EHRs
Identify members requiring timely follow-up and improve care-gap closure
Reduce unnecessary chart retrieval by using clinical data already available to the plan
Support quality, risk adjustment, prior authorization, and value-based care from a common data foundation

Speakers

Steven Berkow, Head of Value-Based Care Market Strategy, InterSystems
Steven brings more than two decades of leadership experience across health plan and provider organizations. He helps healthcare organizations develop strategies for using connected clinical data to improve quality, operational performance, and payer-provider collaboration.

On-demand Webinar

By submitting your business contact information to InterSystems through this form, you acknowledge and agree that InterSystems may process this information, for the purpose of fulfilling your submission, through a system hosted in the United States, but maintained consistent with any applicable data protection laws.

** By checking here, you give consent to be contacted for news, updates and other marketing purposes related to existing and future InterSystems products and events.

*Required Fields

Highlighted fields are required

First Name *

Last Name *

Email *

Company Name *

Country *

Please sign me up for the latest news and updates from InterSystems.**

Please select an option above

*Required Fields

Highlighted fields are required

** By checking here, you give consent to be contacted for news, updates and other marketing purposes related to existing and future InterSystems products and events.

Health plans can break down clinical data silos

and build a more scalable interoperability strategy.

Frequently Asked Questions

What is health plan interoperability?

Health plan interoperability is the ability to securely exchange and use healthcare data across health plans, providers, EHRs, health information exchanges, members, and operational systems. Effective interoperability makes information usable within the workflows where decisions and actions occur.

What is a clinical data repository?

A clinical data repository brings clinical information from multiple sources and formats into a common, normalized structure. Unlike a data lake that may store information in its original formats, a clinical data repository prepares data for use across real-time clinical, operational, analytical, and regulatory workflows.

Why do health plans need a longitudinal member record?

A longitudinal member record creates a unified view of an individual’s health information across providers, encounters, and data sources. It can help health plans support care management, quality improvement, risk adjustment, prior authorization, and other enterprise priorities.

How does healthcare interoperability support AI?

Generative and agentic AI depend on accessible, consistent, and trustworthy data. A unified clinical data foundation helps AI applications use normalized information across the enterprise instead of relying on incomplete or disconnected data silos.