TypeScript control plane for prior-authorization intake, evidence routing, payer-rule pressure, and approval-safe escalation across healthcare workflows.

• Prior-auth teams lose time when clinical evidence, payer requirements, and owner handoffs live in separate systems.
• Denials often come from routing failures and incomplete packets, not from a lack of patient or procedure context.
• Revenue cycle, utilization review, and clinical operations all need the same approval picture without waiting on another spreadsheet.
• Digital health buyers care whether the approval workflow is auditable and recoverable, not whether the dashboard looks "AI-powered."

This repo demonstrates the evidence-routing primitive for Digital Health / MedTech buyers: intake cases tied to payer rules, evidence gaps, approval blockers, and owner-safe escalation paths. A B2B SaaS buyer would care because healthcare approvals and denials often need to surface inside customer-facing operator tools without exposing PHI-heavy systems or unsafe write paths. Kinetic Gain Embedded extends this into security-first in-product analytics for approval-aware and evidence-aware reporting across care delivery and revenue operations, see kineticgain.com/embedded.

Prior Authorization Evidence Router turns payer-rule ambiguity into an approval-safe decision packet.

• For non-technical leaders: shows which approvals are exposed, what reimbursement or patient-access risk is building, and who owns the next move.
• For technical and ops teams: frames the data contract across intake cases, evidence lane, payer rules, approval posture, owners, SLA pressure, and verification gates.
• For GTM and product teams: makes the commercial story concrete: reduced denial exposure, faster packet repair, and safer embedded approval workflows without live PHI.

The Kinetic Gain proof surfaces follow the same operating pattern: risk, owner, proof, next action.

• Risk is visible instead of buried in a generic dashboard.
• Ownership is explicit so leaders know who can close the gap.
• Proof is packaged with representative, synthetic data that can be reviewed without exposing sensitive systems.
• The output is board-readable: what changed, why it matters, what to do next, and what remains unresolved.

1. Model the approval lane: case context, payer, service line, owner, urgency, and approval audience.
2. Map rule to evidence: payer requirement, target packet, blocker, and proof owner.
3. Route the decision: escalate the approvals most likely to become denial, reimbursement, or patient-access risk.

• /
• /evidence-lane
• /payer-rules
• /approval-posture
• /verification
• /docs

• /api/dashboard/summary
• /api/evidence-lane
• /api/payer-rules
• /api/approval-posture
• /api/verification
• /api/sample

cd prior-authorization-evidence-router
npm install
npm run dev

Open:

• http://127.0.0.1:5438/
• http://127.0.0.1:5438/evidence-lane
• http://127.0.0.1:5438/payer-rules
• http://127.0.0.1:5438/approval-posture
• http://127.0.0.1:5438/verification

• npm run build
• npm run test
• npm run demo
• npm run smoke
• npm run render:assets

• Architecture
• Origin
• Kinetic Gain Embedded tie-back
• Changelog

Operator surface in the Kinetic Gain Suite — a portfolio of buyer-readable control planes spanning security posture, compliance evidence, data-platform governance, FinOps, and operator workflows. See the suite index for related surfaces. Apex: kineticgain.com.