The Intermediary Interface
Veritas MedAI is the trusted intermediary connecting AI vendors, cardiology practices, hospitals, and governance frameworks — built around clinical credibility, standardized scoring, and disciplined matching.
Physician-led
Board-certified cardiologist at the helm of every evaluation.
Former ACC Tennessee Governor
Statewide cardiovascular quality leadership and safety oversight.
Strictly vendor-neutral
No commissions. No equity. No referral economics. Ever.
Why an intermediary
Cardiovascular leaders are evaluated on outcomes, safety, and ROI — not on vendor pitch quality. Yet the modern AI buying process pushes risk onto the clinician and the service line, with little structured neutrality in between.
Veritas MedAI is built to be that neutral layer: a physician-led interface that intakes the organization's real needs, vets AI tools against standardized criteria, and produces matching recommendations with a governance plan attached.
Think of it as Underwriters Laboratory for cardiovascular AI — independent evaluation that organizations can actually trust.
Three operational layers
A structured intake captures the unique AI fingerprint of each practice or organization — workflow, imaging modalities, EHR and IT infrastructure, staffing model, pain points, budget, risk tolerance, and regulatory environment.
Output
AI Readiness Profile
A proprietary evaluation system built on clinical, technical, and regulatory criteria. Every AI tool reviewed receives a standardized score — the cardiovascular AI equivalent of a UL safety mark.
Output
AI Safety & Performance Score
The Readiness Profile and Performance Scores feed a curated recommendation: 2–4 AI tools that fit the organization's real workflow, with a governance and integration plan attached.
Output
Curated AI Matching Report
Evaluation criteria
Every tool reviewed is scored against the same criteria — published, transparent, and continuously refined.
Clinical accuracy & validation
Peer-reviewed studies, sample size, external validation.
Regulatory status
FDA / CE pathway, indications, post-market surveillance.
Workflow compatibility
Where it lives in the clinical day. What it interrupts.
Interoperability
EHR, imaging, PACS, and data infrastructure fit.
Safety & bias
Drift, fairness, monitoring, and failure-mode behavior.
Vendor transparency
Model documentation, training-data disclosure, change logs.
Cost & contract structure
Pricing model, lock-in risk, exit terms, support SLAs.
Data privacy & security
PHI handling, hosting model, breach posture, BAAs.
Workflow example
01
Collect workflow, infrastructure, and AI needs.
02
Evaluate 10–20 candidate AI tools against the standardized rubric.
03
Recommend 2–3 tools with clinical and operational rationale.
04
Guide integration, training, and adoption.
05
Monitor safety and performance on a quarterly cadence.
Neutrality framework
Trust collapses the moment incentives bend. Veritas MedAI's neutrality is structural, not aspirational — and it is the foundation every recommendation rests on.
We do
We don't
Engage the interface
A focused 30-minute strategy call to scope intake, vetting, or matching for your organization — followed by a written, fixed-scope proposal.