Outcome-led interoperability delivery

Unblock Epic and HL7 integrations. Build FHIR pipelines that are AI-ready.

L&M Consulting Group helps healthcare organizations stabilize production interfaces, modernize standards-based exchange (HL7, FHIR, CCD/C-CDA), and deliver secure, compliant data pipelines for analytics and AI.

Based in . Prefer email? Send a note

Abstract data lines representing clinical interoperability

What we deliver

Integration Triage and Recovery

  • Rapid assessment of failing or fragile interfaces
  • Root cause analysis across HL7 v2, CCD/C-CDA, and engine configurations
  • Remediation plan plus prioritized fixes
  • Documentation and operational handoff
Typical timeline:1–2 weeks
Starting at:$12,500

FHIR Enablement Sprint

  • Source-to-FHIR mapping and validation workflow
  • Profile-driven transformations and data quality checks
  • API-first architecture guidance and implementation support
  • Developer-ready documentation and test fixtures
Typical timeline:4–6 weeks
Starting at:$35,000

Go-Live Stabilization Retainer

  • Post-cutover monitoring, incident response, and backlog burn-down
  • Interface engine tuning and reliability improvements
  • Change control, release validation, and stakeholder updates
  • Optional on-call support
Typical timeline:Monthly
Starting at:$8,500/month

Starting prices reflect typical scopes and are confirmed in a written scope after intake.

We work across HL7 v2/v3, FHIR R4, and CCD/C-CDA, with real-world experience across Epic (Bridges), Meditech (NMI), Cerner, athenahealth, eClinicalWorks, and Allscripts, plus interface engines including Corepoint, OPENLink, and Mirth.

How engagements work

  1. Intake and scope: short consult, goals, constraints, timelines
  2. Delivery: execute fixes or build pipeline increments with clear milestones
  3. Validation: test, verify, and document operational readiness
  4. Handoff: runbooks, knowledge transfer, and next-step recommendations

Proof

Stabilized a go-live integration backlog

Reduced integration noise by triaging failures, correcting mappings, and implementing consistent validation and runbook procedures.

Modernized legacy feeds into standards-based exchange

Consolidated brittle point-to-point interfaces into documented HL7 and FHIR patterns with measurable reliability improvements.

Made clinical data usable for analytics and AI

Built a repeatable mapping and validation workflow to increase data quality and reduce downstream rework.

View proof

Ready to unblock your integration work?

If you're dealing with unstable interfaces, migration pressure, or an AI initiative that depends on clean clinical data, we can help.