Better Patient Outcomes Start with Better Context

Healthcare systems and networks get the connected data, governance and trusted AI they need to support care teams, members and operations with confidence.

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Care Quality Depends on the Context Your Data Carries

Healthcare organizations are under pressure to improve service, manage cost, support interoperability and use AI more effectively, all while working through privacy, regulatory and data quality demands. That gets difficult when administrative, claims, eligibility, clinical and content systems remain fragmented. The question is no longer whether AI will be part of healthcare operations. The real question is whether the underlying data and governance are strong enough to support safe, useful outcomes.

The Progress Data Platform helps healthcare organizations create a more connected, reusable and governed foundation for AI, interoperability and operational improvement, so care teams, members and operations can act on a complete, trusted picture.

85%of surveyed healthcare leaders were exploring or had already adopted gen AI capabilities.

McKinsey Healthcare AI Survey, 2025

Why Companies Trust the Progress
Data Platform

Proof That Healthcare Teams Deliver Better Outcomes with Connected Context

Customer Stories

Mississippi Division of Medicaid (MS DOM)

Consolidated administrative, claims, eligibility and clinical data into a single reusable foundation, cutting IT modernization costs to one-third of the original plan while accelerating compliance with federal CMS interoperability rules.

IT modernization costs cut to one-third of original plan
Accelerated CMS compliance

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Validated by the Experts, Leading with Outcomes

Progress Named Exemplary in the 2026
ISG Buyers Guide for Data Platform

Progress Data Platform Ranked #1 and Named a Champion in Metadata Management

Who This Is For

Chief Information Officer Healthcare thumb

Needs a modern data foundation that supports interoperability and works with existing systems.

Connected Healthcare Data Foundation

Chief Information Officers in healthcare are responsible for the data infrastructure behind care delivery, operations and regulatory compliance, in an environment where interoperability mandates, AI adoption pressures and legacy system constraints compete for the same budget and attention. The fundamental challenge is not selecting new technology; it is building a data foundation that works alongside existing systems while supporting the modernization and interoperability goals the organization is committed to. A flexible data platform connects clinical, claims, eligibility and operational data without requiring a disruptive migration, enabling teams to modernize incrementally and begin delivering measurable value before a full transformation is complete.

Payer or Provider Operations Leader thumb

Needs faster access to the information behind service, coverage and care decisions.

Trusted Data Access & Retrieval

Payer and provider operations leaders manage the workflows behind enrollment, claims processing, member services and care coordination, and they need fast, reliable access to the data that drives those decisions. In most organizations, that data is spread across administrative systems, clinical records and eligibility databases that do not share context, terminology or governance. When a member calls with a coverage question or a care coordinator needs a complete patient history, assembling the full picture requires navigating multiple systems and reconciling inconsistent information. A connected, semantically enriched data layer gives operations teams accurate answers on the first interaction, reduces processing delays and shifts time away from system navigation toward direct member and patient support.

Compliance & Data Governance Leader Thumb

Needs stronger control, lineage and policy awareness across data and AI outputs.

Governed AI & Auditability

Compliance and data governance leaders in healthcare are accountable for ensuring data practices meet HIPAA requirements, CMS interoperability rules and the growing expectations around responsible AI use in clinical and operational settings. The core challenge is that governance cannot be applied retroactively. If the data feeding AI models was never governed at the source, the outputs cannot be trusted or defended. A governed data platform provides stronger control over data lineage, access and provenance across clinical, administrative and operational systems, so that when AI supports care or operational decisions, the organization can demonstrate that outputs are grounded in trusted sources and that patient privacy has been maintained at every step.

Needs clearer, more usable information without forcing teams into yet another disconnected workflow.

Shared Context for Decisions

Clinical and program leaders are focused on improving care quality, program outcomes and the decision support available to care teams, without introducing yet another disconnected system into clinical workflows. The clinical, claims and operational data needed for a complete patient picture often resides in separate systems with different vocabularies, access models and update cycles. AI can surface meaningful insights and support faster clinical decisions, but only when it draws from complete, context-rich data, rather than partial or siloed views. A governed data platform delivers AI outputs that are clinically relevant, traceable to authoritative sources and integrated into existing care and program workflows rather than layered on top of them.

What Healthcare Teams Can Do with the Progress Data Platform

Patient Member Modernize Without Answer Care Questions Defensible AI Output

Build a Reusable Picture of the Patient and the Member

Connect claims, eligibility, administrative and clinical information in a single, usable layer, so teams work from a complete view, not a partial one.

How It Works

Supports aggregation, harmonization and richer context across healthcare data types and sources.

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MS Division of Medicaid consolidated administrative, claims, eligibility and clinical data into one reusable foundation

Modernize Without Ripping and Replacing

Move faster on compliance and data sharing without a risky full overhaul of the systems care and operations depend on today.

How It Works

Supports incremental modernization that works with existing systems, rather than replacing them.

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MS DOM cut modernization costs to one-third of the original plan while accelerating CMS compliance

Answer Member and Care Questions the First Time

Help support and care teams answer questions faster and more accurately using natural language, not a training manual.

How It Works

Adds context across complex healthcare language, plans and source systems so queries map to the right answers.

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Semantic search correctly maps “morning sickness” to maternity benefits for a top-ten payer

Put Defensible Context Behind Every AI Output

Make AI useful for high-value clinical and operational workflows, without losing control, compliance or auditability.

How It Works

Combines semantic context, governance and source traceability so outputs stay reviewable and defensible.

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10:1 efficiency improvements achieved by health plan using operational workflows powered by the Progress Data Platform

How the Progress Data Platform Delivers for Healthcare

The Progress Data Platform helps healthcare organizations connect complex data, apply shared context and governance, and make trusted information available across the enterprise. It supports interoperability, better retrieval and more explainable AI, without asking teams to rip out the systems they depend on today.