Defensible Documentation. Predictable Revenue.
SynchroLink AI resolves the two failures that slow care and revenue: fragmented identity across systems and pre-bill coding that shows insights but doesn’t move dollars.
Patient Identity (EMPI)
One patient, one record—across facilities and EHRs. Beacon identity graph (300M+ profiles), explainable confidence scores, and autonomous merges with human review. Audit trails included.
- 300M+ Beacon identity graph
- Explainable scoring + reason codes
- Autonomous merges + human review
- Audit-ready logs; HIM workload ↓
Prospective RAF Documentation Control
Turn notes, labs, meds, vitals, imaging, and outside evidence into audit-ready documentation decisions. MEAT-first, human-in-the-loop, CMS/RADV-ready by design.
- Evidence review with MEAT status
- v24 → v28 specificity shown inline
- CMS/RADV readiness with audit packs
- Start now with files, expand through FHIR
Unsupported items are held for review. Identity, documentation, and revenue decisions stay tied to source evidence.
Autonomy where it’s safe, review where it matters. Ownership and SLAs keep work calm and accountable.
HIPAA/BAA, encryption in transit & at rest, audit logging, least privilege. Roadmap: SOC 2 → HITRUST.

Matthew Harrison
Founder & CEO, SynchroLink AI
Matthew Harrison grew up in Jamaica, where incomplete medical records often delayed care. That experience shaped his path—from Biomedical Sciences at the University of South Florida into engineering, where he built CTMS, EMRs, LIMS, and patient portals.
Across every system, he saw the same pattern - fragmented patient identity and revenue tools built for dashboards, not action. He founded SynchroLink AI to change that by unifying identity across silos and turning messy clinical evidence into provable, draft claim lines. The goal is simple: trust the record, prove the claim, and get dollars in faster.
Mission - one trusted identity and evidence first revenue so organizations deliver safer care and post real dollars faster.
Fresh insights for risk-bearing teams
Prospective vs. Retrospective Coding: Why Timing Matters in Risk Adjustment
Retrospective review can find missed opportunities, but late chart chasing creates provider burden and audit exposure. The safer model uses retrospective findings to prepare the next appropriate visit, resolve recent gaps through CDI, and capture supported RAF documentation while the clinical context is fresh.
Redocumentation & Continuity Recapture: The Missing Link in Audit‑Ready RAF
Audit‑ready RAF depends on current‑year support, not last year’s documentation. Redocumentation and continuity recapture make that support visible before submission.
Why Suppression Is a Feature (Not Lost Revenue)
In risk adjustment, the most expensive mistake is submitting a diagnosis that does not hold up. Suppression protects RAF defensibility without slowing teams down.