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InsureLytix

Provider directory, FHIR Plan-Net, and network adequacy analytics for U.S. Medicare Advantage plans. CMS-compliant by default.

InsureLytix Inc. · Dover, Delaware

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  • FHIR Plan-Net API
  • Network gap analytics
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HIPAA-aligned CMS-0057-F FHIR R4 Plan-Net Section 508 / ADA
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Network gap analytics

Network gap analytics — The numbers that survive the audit.

Coverage scored for every county and specialty, weighted by how Medicare patients actually use care and counted against the 65-plus population. The same scores that drive your executive dashboard export as the network-adequacy file you submit to CMS — one set of numbers, two destinations.

Network adequacy · live

Endocrinology · Diabetes · Sample service area

Illustrative
Last refresh · just now

Counties

6

in service area

Adequate

2

≤ 10 patients/provider

Critical

1

action required

County coverage · patients per provider

  • County 01
    7.2
  • County 02
    9.4
  • County 03
    14.1
  • County 04
    22.6
  • County 05
    17.8
  • County 06
    11.3
County 04 crossed from moderate to critical on the last refresh.
HSD export

01

Why this matters to your plan.

Network adequacy is where a plan can lose the right to grow. Miss a threshold and CMS can freeze enrollment until you remediate. The hard part isn't the filing — it's keeping operations and compliance honest about the same network. This puts both on one number.

02

The same data on both sides of the wall.

Most plans run network-adequacy in compliance and run dashboards in operations — and the two systems disagree. We compute county × specialty × disease coverage scoring on every provider data refresh, store it pre-computed, and serve it to both surfaces. The number the CFO sees is the number CMS sees.

03

Care-pathway-weighted thresholds.

A diabetic Medicare patient sees a PCP first (family medicine, internal medicine), then potentially endocrinology, podiatry, ophthalmology, nephrology, and cardiology. The legacy 1:1 disease-to-specialty mapping says 'no endocrinologists in the county = critical gap' when 50 PCPs manage diabetes daily. Our coverage scoring weights specialties by realistic patient share — and the ratios start telling the truth.

  • Each disease maps to a care-pathway with specialty roles and patient-share %
  • Adequate ≤ 10 patients/provider; moderate ≤ 20; critical above
  • Per-specialty benchmarks (cardiologists and family medicine have very different panel capacities)

04

Medicare-aged population denominators.

All-age BRFSS data inflates patient counts by 3–5× because Medicare Advantage only covers 65+. We use CDC PLACES age-adjusted prevalence and Census ACS 65+ population. The ratio you read in the dashboard is the one a 65-year-old will actually feel.

05

HSD-table-ready.

The HSD table CMS expects in HPMS exports directly from the same dataset — not a derived view. Specialty taxonomy, county-of-service mapping, distance computation: all auditable, all reproducible from the upstream provider data.

Related modules

Provider search

The directory members actually use.

FHIR Plan-Net API

CMS-0057-F, the morning the rule lands.

Facility search

Hospitals, clinics, urgent care — all on one map.

Ready when you are

Bring this platform to your plan.

If your provider data is ready, a new white-labeled tenant goes live in about a week. Compliance certification runs alongside it, not as a later phase.

Book a 30-min demoRun the free readiness check