Skip to main content
HEDIS 2026 Season: Measurement year is underway — align your quality program now.Get started →

Free HIE Gap Assessment

Where Is Your HIE Falling Short?

Most regional HIE and quality-reporting platforms were built for a world of batch files and manual chart review. Take the 2-minute assessment below to see exactly which gaps apply to you — and how HDIM closes them incrementally, using AI-native infrastructure, without a rip-and-replace.

Common Gaps in Today's HIE Platforms

These are the gaps we hear most often from health plans, health systems, ACOs, and HIEs. Every HDIM capability below is demo-validated, not a roadmap promise.

Data arrives late — batch or nightly, not real-time

FHIR-native event pipeline built for real-time throughput: 92ms P95 CQL evaluation at 100 concurrent users, with per-service SLOs (P95 < 200ms) validated under load — not projected.

Care gaps are found after the visit, not before it

Care gap detection runs against live FHIR data, so gaps surface in the workflow instead of during a retrospective chart review weeks later.

HEDIS / quality reporting is manual and spreadsheet-driven

A live CQL execution engine handling batch and individual measure evaluation, QRDA export, and HCC risk stratification — 10 HEDIS measures live today, expanding to the full library.

Your "FHIR-compliant" vendor is only partially compliant

FHIR R4 native — 26 documented API endpoints including the $everything operation, SMART on FHIR, C-CDA parsing, and HL7 v2 processing, built and tested for real interoperability.

Audit trails and access controls were bolted on later

100% PHI access logged via an HTTP audit interceptor and @Audited annotation on every access method, with database-level tenant isolation and role-based access control from day one.

Any real fix looks like a multi-year rip-and-replace project

A modular, microservices architecture lets you start with one measure, one care setting, or one data source — and expand phase by phase on a documented 90-day pilot blueprint, not a multi-year program.

You Don't Have to Replace Everything at Once

Because HDIM was built on a modular, AI-native microservices architecture, your team can start with a single measure, a single care setting, or a single data feed — validate it against your own data — and expand from there. That's the same phased model behind our documented 90-day pilot blueprint: clear Phase 1 scope, a security baseline, deployment model options, and KPI governance defined up front.

  • Phase 1: Architecture review and a scoped pilot — one measure or care setting, real data
  • Phase 2: FHIR R4 / HL7 integration validated against your existing systems
  • Phase 3: Quality measure automation and care-gap detection turned on for the pilot population
  • Phase 4: Incremental expansion to additional measures, populations, or facilities

Take the 2-Minute Assessment

Tell us where it hurts, and we'll send back a tailored breakdown of the gaps you flagged, mapped to HDIM capabilities and a suggested incremental rollout.

1. Which of these sound familiar?

Select any that describe your current HIE, EHR-adjacent, or quality-reporting stack.

2. Tell us about your organization

3. Where should we send your assessment?

No cost, no obligation. We respond within 24 hours.