Prior authorization, prepayment review, and payment-integrity analytics increasingly decide whether a clean claim is paid — and the complex claim is the path of least resistance to deny. 5Q Health works the seam where claims, algorithms, and regulations meet: protecting reimbursement for the organizations navigating automated adjudication, building the governance for the ones deploying it, and tracking the infrastructure for everyone exposed to it.
The practice converges where claims, algorithms, and regulations meet — from the organizations navigating automated adjudication to the ones building it. Start wherever your exposure is.
The complex claim is the path of least resistance to deny.
The operational layer auditors and regulators actually examine.
Independent, confidence-scored regulatory intelligence.
"5Q" is the Five Whys — the root-cause discipline that traces a problem past its symptoms. Here is the chain most suppliers and rural providers are living right now.
The documentation didn't satisfy an automated first-pass review — even though the care was medically necessary and the record was complete by any human standard.
Payers now run prior authorization and payment integrity through algorithms — from Medicare's AI-assisted prior-authorization pilots to state Medicaid payment-integrity analytics.
Federal WISeR model · State analytics programsIndividualized medical necessity doesn't map cleanly to automated rule sets. Complex rehab, high-documentation DME, and rural safety-net claims are the worst-case profile for algorithmic adjudication — where a model tuned to reduce "error" finds its easiest denials.
Because the models often carry no enumerated governance — no bias audit, no transparency requirement, no documented human-review or appeals standard. The gate is real; the regulatory keys to the gate are fragmented, or missing altogether.
Because 5Q governance holds four things at once: accountability, claim fluency, algorithmic scrutiny, and regulatory awareness. Operationalizing that intersection is designed to support responsible AI use, build stakeholder trust, and reduce the financial exposure that automated decisions create — for individuals and enterprises alike.
Governance isn't compliance overhead. It's the infrastructure that decides whether your good work survives the algorithm — and the review.
Every engagement is delivered under a three-pass validation discipline: draft against primary sources, adversarial audit with confidence ratings on every finding, final synthesis with documented limitations. No open-ended hourly billing.
A rapid diagnostic of where automated adjudication threatens your revenue — sized so a compliance officer can approve it without a committee.
A scoped build of the capability your scan — or your denial trend — says you need.
The regulatory landscape, watched for you — against your specific payers and product lines.
For organizations standing up or maturing an enterprise AI governance function — the operational layer auditors and regulators actually examine. AI use-case inventory and registry build; risk-tiering intake and assessment workflows aligned to NIST AI RMF and ISO/IEC 42001; mitigation and gap-closure coordination with tracked close-out; and audit-ready documentation and evidence packages mapped to HIPAA, CMS, ONC/HTI, Section 1557 nondiscrimination, and the state and federal AI requirements applicable to each use case.
The AI-and-data governance layer that extends the reach of what HCCNs already do. For rural safety-net organizations adopting AI without an internal governance function — and the Hubs reporting to a CMS standard. 5Q stands up the local tool-vetting process, the governance architecture those tools depend on (shared definitions, decision rights, privacy including 42 CFR Part 2, and equity checks for rural and tribal patients), and the reporting readiness that keeps funding defensible — built to stay consistent across regions, so one organization's readiness becomes a portable template rather than an island.
Scan fees are credited toward a Readiness Build contracted within 60 days. Request the full rate card →
Free, working instruments — because governance that only protects the entity has failed the 5Q test. One lane for the organizations navigating automated adjudication, one for the people it adjudicates.
North Carolina's DME rate-floor expiry, the PHP rebid, and cost-containment machinery converge in 2029. Model your organization's exposure window and see what the timeline means for your book of business.
Run the calculatorAutomated reviews mean more paperwork, more deadlines, and more ways to lose coverage you still qualify for. A plain-language companion for keeping benefits on track and contesting decisions that got it wrong.
Open Coverage KeeperJoint Commission’s Responsible Use of AI certification arrived in June — and accreditation isn’t a prerequisite. A 34-item, evidence-scored self-assessment of where you stand across the five certification areas, with a dual-protection cap that keeps patient safeguards non-negotiable.
Open the Scorecard overviewAI is not gap-neutral: the same tool can extend rural care or quietly hollow it out. Score a specific deployment across three forms of leverage and three preconditions, and read whether it closes the gap — or widens it.
Score a deploymentA public dashboard tracking North Carolina's algorithmic adjudication infrastructure — the analytics provisions, the agencies operating them, and the governance controls present or absent for each.
Launching upon enactment of the state budgetPublished findings are versioned and dated, and they update as the evidence does — the same three-pass discipline every 5Q engagement is delivered with. Reading it tells you exactly what you'd be buying.
Open the analysis overviewAlso in the library: Why Software Vendors Can’t Audit Their Own AI →
From the Privacy Series: WOPR Is a Privacy Law →
5Q Health LLC was founded by Tabatha James, who spent more than a decade delivering front-line, client-centered clinical care in rural, underserved communities — serving patients across Medicaid, Medicare, and commercial coverage, where regulatory change, coverage denials, and appeals were a daily reality of practice, not a policy abstraction. She then crossed to the supplier side as an ATP/SMS — an Assistive Technology Professional and Seating & Mobility Specialist, evaluating and equipping patients with complex rehab technology in the FDA Class II medical device sector, one of healthcare's most heavily regulated and denial-intensive categories — through the very years automated denials ramped up (2019–2025). This dual perspective on prior authorizations shows in 5Q's claim, coverage policy, and denial letter literacy.
That hands-on fluency in compliance and risk is now paired with formal training in AI governance, privacy, and health law and policy (MS, Health Law & Policy, Wake Forest University School of Law, in progress). The combination was built to answer one question with precision: what does algorithmic adjudication do to this specific claim, in this specific market — and who is accountable when it gets it wrong?
5Q Health is based in Henderson County, North Carolina, and works with the rural safety net it comes from — the clinics, suppliers, and communities where a wrongly denied claim isn't a data point, but a person who doesn't get what they need.
Thirty minutes, no charge. You describe the denial pattern, the payer notice, or the question. We decide together whether there's a fit.
Scope, deliverables, dates, and a fixed fee — confirmed in a short letter before work begins. Invoiced 50% at signing, 50% at delivery.
A confidence-scored deliverable, a live readout with your team, and a roadmap ranked by what protects revenue first.
A thirty-minute scoping conversation is free, and worth having before the next plan year locks in.
Book a scoping call