For almost a decade, the 360-degree view of the healthcare consumer has been the industry's north star.

• Unify the data.
• Break down the silos. 
• Give every care team, service rep, and analyst a complete picture of the member or patient in front of them.

And it generally worked.

But the era of the dashboard is giving way to something fundamentally different: autonomous AI agents that don't just display member data,but act on it. Processing prior authorizations, closing care gaps, flagging fraud, and reaching out to at-risk members without waiting for a human to pull a report.

That shift changes the stakes entirely. A dashboard built on fragmented data produces a flawed insight. An AI agent built on fragmented data spreads that flaw across millions of members, thousands of claims and hundreds of simultaneous decisions.

A 360-degree view is no longer the destination. It's the prerequisite.

The ROI case for unified member and patient data has been made convincingly. Research shows that healthcare organizations with a complete, unified view of their consumers drive measurably better outcomes in care quality, operational efficiency and member experience.

But here's what changes in an agentic environment: the data isn't just being read by a human analyst who can apply judgment to fill in the gaps. It's being consumed directly by an AI agent that acts on what it sees.

When a prior authorization agent pulls a member's coverage record and finds three different member IDs — one for individual coverage, one for employer-sponsored, one for Medicaid — it doesn't pause and call a data steward. It acts on what it has, resulting in benefit hallucinations, wrongful denials, compliance exposure, and eroded member trust.

The critical insight is this: AI agents require not just a 360-degree view, but Trusted Context, meaning governed, identity-resolved and continuously quality-checked data, structured in a way that agents can reliably invoke via APIs and MCP connections. Without that, even a well-designed agent becomes a liability at scale.

Trusted Context separates a member profile that humans can navigate from one that AI agents can safely act on. It has four essential properties:

• Identity resolution: Every member, provider and patient resolved to a single, authoritative record, eliminating the duplicate and conflicting identities that persist through system migrations and M&As
• Governed data quality: Continuously monitored, automatically cleansed data with full lineage and audit trails, not just a one-time data migration
• Longitudinal context: A member's relationship with a payer across their entire lifetime, from enrollment through job changes, family events, diagnoses, and plan transitions, not just their current status
• AI-consumable structure: Data that agents can invoke in real time via APIs and MCP connections, with automated PHI/PII protection and HIPAA guardrails embedded at the data layer

This is what Informatica IDMC delivers: a Golden Member Record that forms the foundation of an agentic payer or provider enterprise, feeding Agentforce Health, MuleSoft, and Data 360 with the verified context they need to act reliably and compliantly.

1. Personalized Care Gap Closure (Providers)

Care gap closure has historically been a manual, batch-driven process: pull a population report, identify gaps, send outreach letters and hope patients respond. With a golden patient record unified across EHR, imaging, billing, and SDOH data, AI agents can operate proactively, and:

• Identify high-risk patients before gaps become acute episodes
• Trigger personalized outreach through the right channel at the right moment
• Route care coordination tasks to the right clinical team automatically
• Deploy AI and analytics up to five times faster than legacy approaches

The result: fewer missed preventive interventions, better HEDIS scores and care coordination that scales beyond what any human workforce can execute manually.

2. AI-Powered Prior Authorization (Payers)

Prior authorization is one of the highest-friction and highest-cost workflows in payer operations. As well as one of the most consequential for member experience. An agent acting on a fragmented member record doesn't just slow the process down; it introduces systematic errors that compound across every decision it makes.

With a trusted golden member record grounding every decision, AI agents can:

• Eliminate coverage and billing hallucinations caused by identity fragmentation
• Reduce prior authorization approval times from days to hours
• Enforce real-time CMS compliance guardrails at the data layer
• Provide full auditability for every agent action right back to its source

Leading payers are already seeing a 60% reduction in claims processing delays and a 31% increase in member services productivity by grounding their agentic workflows in a unified data foundation.

3. Proactive Member Outreach and SDOH Interventions (Payers)

Members facing housing instability, food insecurity or transportation barriers and other risks are often least likely to proactively engage. Waiting for them to reach out is a losing strategy, both for outcomes and cost.

IDMC unifies clinical, claims, eligibility, and SDOH data into a single member record that AI agents can act on in real time: identifying members sliding toward high-cost utilization, triggering outreach before a preventable ER visit occurs, and connecting members to community resources without requiring a care manager to manually compile their history.

This is population health management that moves at machine speed: personalized, proactive and grounded in every data point that matters.

4. Fraud Detection and Billing Integrity (Payers)

Healthcare fraud, waste and abuse cost the U.S. system hundreds of billions annually. And the same fragmented provider directories and member records that slow down legitimate claims also create blind spots that fraudulent actors exploit.

A unified provider and member master, continuously governed and quality-monitored, fundamentally changes the fraud detection equation, by:

• Resolving provider identity across networks to flag anomalous billing patterns
• Unifying claims, clinical, and pharmacy data to detect inconsistencies that indicate upcoding or unbundling
• Automating appeals workflows grounded in a complete, audit-ready member record
• Achieving a 25% reduction in claims processing errors by eliminating the data fragmentation that creates billing integrity gaps

5. Population Health Management and HEDIS Optimization (Providers & Payers)

HEDIS scores and Star ratings are public, consequential and directly tied to revenue. Despite this, most health plans still manage the underlying quality measures through manual processes built on incomplete data.
With IDMC establishing a trusted longitudinal member record, AI agents can:

• Continuously monitor performance against HEDIS measures in real time, not just at year-end
• Proactively identify members approaching thresholds that affect rating categories
• Power population segmentation that enables value-based contract performance
• Support churn prediction and cost forecasting grounded in verified, governed data

HEDIS optimization becomes a continuous, data-driven motion rather than a Q4 scramble.

CVS Health automated its data quality processes using IDMC, achieving a 99% reduction in data quality issues, creating the reliable member analytics foundation that powers downstream AI and reporting accuracy.

Community Health Choice presented at Informatica World 2026 on how advanced data management is driving member outcomes, demonstrating that payers of all sizes, not just national carriers, can build a trusted context foundation for their AI ambitions.
Hackensack Meridian Health deployed Informatica MDM on IDMC to consolidate disparate patient records into a trusted Patient 360 view which enabled real-time care coordination, reduced duplicate records and accelerated data-driven clinical decisions across its 17-hospital system.

"With Informatica, we have a single, trusted patient identity that powers everything from scheduling to care gap closure."
— Hackensack Meridian Health

The ROI case for a trusted member and patient data foundation has never been stronger.

Independent research shows that organizations deploying IDMC achieve up to 282% ROI in as little as seven months, reflecting how quickly a unified data foundation removes friction from every downstream workflow.
The operational impact compounds across every agentic use case:

• 60% reduction in claims processing delays
• 31% increase in member services productivity
• 25% reduction in claims processing errors
• 15–20% reductions in administrative costs through MLR optimization
• 99% reduction in data quality issues

These aren't outcomes from replacing legacy systems wholesale. They're the compounding returns from giving AI agents something they can finally trust.

The path from fragmented member data to a trusted agentic foundation doesn't require a multi-year transformation program. Informatica IDMC creates the foundation in three steps:

Step 1 — Unify and resolve identity

Ingest data from legacy claims engines (Facets, QNXT), EMRs, pharmacy benefit managers, and SDOH feeds through 50,000+ pre-built connectors. Resolve member and provider identities across every line of business and eliminate the duplicate records and conflicting IDs that are the root cause of most AI failures.

Step 2 — Govern and protect

Automatically discover and classify PHI/PII across your entire data estate. Enforce HIPAA, ONC interoperability rules, and CMS compliance requirements at the data layer, before data reaches any agent. Establish continuous data quality monitoring so the golden record stays golden.

Step 3 — Activate for agents

Distribute the trusted member record in real time via APIs and MCP connections, making it instantly consumable by Agentforce agents, MuleSoft integration flows, and Data 360 analytics. Every agent action is grounded in a verified, audit-ready record. Every decision is traceable.

In an agentic world, a 360-degree view of the healthcare consumer is still essential, but instead of being the finish line, it’s the starting point. The organizations that will win in this era are those that take the next step: transforming that 360-degree view into Trusted Context that AI agents can act on reliably, at scale, and in compliance with every regulation that governs healthcare data.

That's what Informatica IDMC makes possible. And the results — from CVS Health to Hackensack Meridian to Community Health Choice — show it's already happening.

Ready to build your agentic foundation?

Download the "Quantifying the Value of a 360-Degree View of Healthcare Consumers" white paper to see the full ROI framework — and explore how IDMC turns your member data from a reporting asset into an agentic engine.