AccessLens — Bias Audit Plugin | January's Advisory Group

🔍 The Problem

Neutral-Looking Data, Discriminatory Pattern

Prior authorization queues and scheduling systems routinely use claim density, zip code, Medicaid coverage, and missed-appointment history to decide who gets expedited and who waits. None of these variables mention race or income. All four are well-documented statistical proxies for them.

A prioritization rule built on these inputs can produce a discriminatory outcome without a single protected characteristic ever appearing in the code, which is exactly what makes it hard to catch, and easy to defend as "just operations."

⚙️ What AccessLens Does

Two Layers — One Always Watching, One In the Room

🔍

Retrospective Audit

Runs continuously against Epic's prior-authorization and scheduling data, risk-adjusted against clinical acuity, so it isolates the part of any gap acuity can't explain.

Layer 1 — AccessLens

🎯

Real-Time Flag

Sits alongside a live prior-authorization decision and flags it for human review the moment it lands in a known disparity pattern, before the patient feels the delay.

Layer 2 — AccessLens

Output: a disparity report and a compliance-ready disclosure package for your quality and compliance teams, not just an alert, a paper trail.

🔌 How It Integrates With Epic

Built Entirely on Epic's Published APIs

AccessLens runs on Epic's Da Vinci and native FHIR APIs, nothing proprietary, nothing that requires custom Epic configuration.

CRD — Coverage Requirements Discovery DTR — Documentation Templates & Rules PAS — Prior Authorization Support FHIR Scheduling CDS Hooks Bulk Data Access

No protected-class attribute is ever used as a model input, only claims, coverage, and scheduling data Epic already exposes.

AccessLens data flow diagram: Epic FHIR and Da Vinci APIs feeding a retrospective audit engine and a real-time CDS Hooks layer, producing the ROI Equity Dashboard and a point-of-care review flag

🌱 Who's Behind This

Built by a Former State Health-Policy Leader

🏛️

January Montaño is the founder of January's Advisory Group. She served as Deputy Director of Sourcing on Colorado's COVID-19 Innovation Response Team, where she helped secure 27.8 million PPE items internationally, and later helped architect equity-driven policy for the 1.3 million members of Health First Colorado, the state's Medicaid program. She has testified before the Colorado General Assembly on algorithmic bias in AI systems.

⏱️ Why Now

Two Deadlines, One Date

Jan 1, 2027 The federal CMS Interoperability and Prior Authorization Final Rule requires health plans to run live FHIR prior-authorization APIs and supply specific denial reasons. Colorado's HB 26-1139, governing AI use in health insurance coverage decisions, takes effect the same day.

🗺️ How It Works

From Sandbox to Pilot in 4 Clear Steps

Discovery Call

A 30-minute consultation to understand your Epic build and current prior-auth and scheduling workflows.

Sandbox Proof-of-Concept

AccessLens runs against sandbox data to validate the API connections and the disparity model.

Pilot Validation

Runs against your live data with your compliance team, producing the first real disparity report.

Go Live & Scale

Full deployment with ongoing monitoring, reporting, and JAG as your equity-engineering partner.

Ready to See What Your Data Shows?

AccessLens is built for a Colorado health plan, hospital system, or Medicaid MCO ready to see what its own prior-authorization and scheduling data actually shows.

📅 Book a Free 30-Min Consultation

📧 january@januarysadvisorygroupllc.org 📞 (720) 603-8282 📍 P.O. Box 16193, Denver, CO 80203