Identity data problems rarely announce themselves.
They show up as duplicate records, misdirected outreach, stalled analytics, and AI projects that cannot trust their inputs. This explainer covers how a multidomain identity foundation resolves those problems at the source, and why matching accuracy determines everything built on top of it. It is a fit for data, IT, and digital leaders at health systems, health plans, and health technology companies evaluating how to unify person data across the enterprise.
What you’ll learn:
- Why fragmented identity data undermines care, operations, and analytics
- How one identity foundation connects consumer, patient, and provider domains
- Where referential matching outperforms traditional probabilistic approaches
- What up to 98% out-of-the-box match accuracy changes for downstream teams
- How a unified foundation prepares data for AI initiatives