Help Ukrainian Ukraine economy and refugees by hiring Ukrainian Software Developers - we donate a lot to charities and volunteer foundations

Ukraine

Closing Care Gap Navigator gaps faster with mobile workflows, Epic-
connected data, and
practical AI

Client Challenge

A typical Medicaid MCO serving 220,000 Medicaid and Children's Health Insurance Program members was struggling to close HEDIS gaps efficiently.

Care managers worked across Epic, paper notes, calls, and field visits. Field teams had no mobile access. Many members needed outreach in Spanish or through low-bandwidth channels.

The result: slower outreach, duplicated work, missed closure windows, and care teams spending too much time on documentation.

The client needed to reduce physician burnout while maintaining care quality and work around Epic limitations without raising flags.

A HEDIS gap is a missing or incomplete healthcare quality action — like a screening, lab, or follow-up — needed for a patient to meet HEDIS care standards.

Solution Delivered by Zfort Group

Zfort Group built a Care Gap Navigator that
complements Epic, not replaces it.

The platform gives care teams:

  1. 01

    Real-time care gap visibility

  2. 02

    EHR Data Integration and Normalization on Epic FHIR

  3. 03

    Mobile-first workflows for field care managers

  4. 04

    Offline documentation with sync on reconnect

  5. 05

    English and Spanish support

  6. 06

    SMS and app-based communication tools to reach populations in their preferred channel

  7. 07

    A population health dashboard for quality teams

The goal was simple: help care managers know who to call, why now, and what action to take.

AI-Assisted Care Management

Zfort added an AI/ML layer to prioritize closable gaps.

Instead of a generic risk score, the model predicted which member gaps were most likely to close with timely outreach.

  1. 01

    Predicts which gaps are most likely to close

  2. 02

    Ranks members by expected closure impact

  3. 03

    Shows why each member is recommended

  4. 04

    Suggests best outreach channel and timing

  5. 05

    Flags gaps nearing the end of the measurement window

  6. 06

    Helps reduce documentation time — EHR data entry is the #1 complaint

Generative AI was not placed in the clinical critical path. Templates and recommendations were clinically reviewed before use.

Security &
Compliance

Built for sensitive payer and clinical data:

  1. 01

    HIPAA-aligned architecture

  2. 02

    BAA-covered AWS services only

  3. 03

    AI/ML pipelines for US payers under BAA

  4. 04

    Role-based access control

  5. 05

    PHI redaction in logs

  6. 06

    Encrypted data at rest and in transit

  7. 07

    Audit-ready workflows

  8. 08

    Secure Epic FHIR integration

Results & Impact

After the first full measurement year:

  • +5.4 pp *GSD closure rate
  • +5.1 pp *BCS-E closure rate
  • +2.8 pp *CBP closure rate
  • 24% lower cost-to-close per gap

  • 1.7x higher care manager throughput

  • Internal care manager *NPS rose from 24 to 56

  • Field visit documentation moved from 4-24 hours later to real-time offline-then-sync

The platform helped the client reduce *MLR without cutting care: population health risk models + care management tools.

  • *GSD is Glycemic Status Assessment for Patients With Diabetes
  • *BCS-E is Breast Cancer Screening
  • *CBP is Controlling High Blood Pressure
  • *Net Promoter Score
  • *MLR is Medical Loss Ratio

Why It Matters

For Medicaid plans, care gap closure affects quality scores, contract bonuses, NCQA readiness, member outcomes, and MLR.

Zfort helped the client close the digital experience gap with mobile-first, multilingual, accessible member portals and care team tools.

The same architecture can scale rapidly to new acquisitions without rebuilding technology each time.

Zfort HealthTech Advantage

After the first full measurement year:

  • Build tools that complement Epic, not replace it

  • EHR optimization and Epic limitations handled from day one

  • HIPAA- and SOC 2-aligned delivery

  • Secure mobile care management platforms

  • HEDIS and population health automation

  • AI-assisted care prioritization

  • Analytics and measurement infrastructure that tracks quality measures, cost outcomes, and population health improvements across acquired health systems

Contact Information

To coordinate next steps please contact:

Advisory Team

  • Roman Korzh

    Chief Executive Officer

  • Anna Slipets

    Business Development Manager