The AVS (After-Visit Summary) Audit Landscape

“Auditing an after-visit summary” means very different things depending on who’s doing the audit and why. Three categories operate in mostly separate worlds.

The three categories

Institutional / compliance: hospitals auditing their own AVS for HIPAA, Joint Commission readiness, documentation quality, billing. The customer is the institution.
Human-driven patient second opinion: a specialist reviews your records narratively and tells you what they think. The customer is the patient; the analysis is human and expensive.
AI-augmented evidence-grounded patient-side audit: structured cross-check of the care plan in your AVS against trial-level evidence filtered for your context. The customer is the patient; the analysis is AI-augmented and queryable.

1. Institutional / Compliance Audits

Hospitals and health systems audit their own AVS documents for compliance (HIPAA, Joint Commission, billing), documentation completeness, and patient-education quality. The buyer is the hospital admin or compliance officer — not the patient.

Player	Audit focus	What they do
Epic, Cerner, Athenahealth EHR vendor tooling	Documentation quality + workflow	Built-in checks for AVS completeness, auto-generated templates, compliance flags inside the EHR. Bought by health-system IT, not patients.
Optum, HIMSS-affiliated audit firms	Regulatory compliance	External audit services for HIPAA compliance, Joint Commission prep, payer audit defense. High-touch consulting; six-figure engagements.
Press Ganey	Patient-experience scoring	HCAHPS and patient-satisfaction surveys; the “quality” here is institutional benchmarking, not clinical-evidence fit.
Nuance/Microsoft DAX, AKASA	Clinical documentation	Ambient AI scribes that generate AVS / progress notes; the “audit” is internal quality control on the generated text.

None of these tools are for you. They serve hospital admins, billing offices, and compliance teams.

2. Human-Driven Patient Second Opinion

A human specialist (or patient advocate) reviews your records narratively and tells you what they think. The patient is the customer; the value is the human expert’s judgment. Slow and expensive.

Player	Format	What you get / typical cost
2nd.MD	Remote specialist review	Records reviewed by a specialist; video consult. Often covered by employer benefits; cash price ~$500–$1,500. Turnaround: days.
Cleveland Clinic MyConsult	Institutional second opinion	Written second opinion from a Cleveland Clinic specialist. ~$565 base. Turnaround: 5–7 business days.
Mayo Clinic Remote Consults	Institutional second opinion	Specialist review with Mayo brand authority. Pricing varies by case; days–weeks turnaround.
Solace · AdvoConnection	Patient advocate / navigator	Human patient advocate reviews your records and care plan; helps coordinate. ~$150–$500/hour. Doesn’t typically pull trial-level evidence.

High-trust, slow, expensive. Value is the human expert’s judgment, not a structured cross-check against trial evidence.

3. AI-Augmented Evidence-Grounded Patient-Side Audit

Structured cross-check of the care plan in your AVS against trial-level evidence filtered for your context. The customer is the patient; the analysis is AI-augmented and queryable. This category is largely empty — closest existing tools are near-misses on the actual workflow.

Player	What they do	Why it’s a near-miss
K Health	AI triage + primary care	AI-driven, but focuses on triage / preventive care / virtual visits — not on auditing the care plan you already received.
Health-literacy translators ReadablerX, LitTouch-style	Plain-language rewrite	Translates the AVS into plainer English. Comprehension help, not evidence-fit checking.
Off-the-shelf ChatGPT / Claude	General LLM Q&A	Many patients paste their AVS into ChatGPT today — but the answer is a probabilistic summary, not a structured cross-check against trial-level evidence. The same overgeneralize/overlook failure modes apply.
No B.S. Med This site · concierge audit live now	Patient-side AVS evidence-fit audit	Email your AVS; we cross-check the diagnoses, prescriptions, and follow-ups against clinical-trial participant data (eligibility, outcomes, harms) filtered for your context. Free during beta. Concierge today; MCP-served as the eligibility model matures.

How No B.S. Med differs at a glance

Axis	Institutional / compliance	Human second opinion	No B.S. Med
Audience	Hospital admins, compliance teams	Patients (high-end)	Patients (everyday)
Audit focus	Documentation, HIPAA, billing	Specialist narrative review	Evidence-to-person fit (deterministic queries vs trial-level data)
Cost	Six-figure institutional contracts	$500–$1,500 per case	Free during beta
Turnaround	Engagements over weeks/months	Days to weeks	Concierge turnaround; MCP-served eventually (interactive)
Reproducibility	Subject to auditor judgment	Subject to specialist judgment	Deterministic queries — same input → same evidence

The gap we’re filling

Institutional audits exist at scale, but they don’t serve patients. Human second opinions serve patients but cost $500+ and take days. The third category — AI-augmented, evidence-grounded, patient-side AVS audits — is largely empty. Existing AI tools either don’t target the AVS workflow specifically (K Health) or give you probabilistic summaries instead of structured cross-checks against trial-level data (off-the-shelf ChatGPT/Claude).

No B.S. Med occupies that empty slot. The audit is deterministic (same input, same evidence retrieved), patient-facing (no NPI required), and free during beta. For more on why this matters — and what failure modes generic AI summaries miss — see The Evidence-to-Person Fit Problem.