How is Level 3 different from Level 2?

Level 2 makes one person's AI-assisted work defensible. Level 3 makes the practice's work repeatable: written procedures, controlled knowledge sources, specified integrations, risk tiers, sampling, escalation, and measurement that survive staff turnover and a bad week.

Do I need access to my practice's systems to complete the capstone?

No. The capstone is a design document run on invented cases. You specify what an integration would read and write and how each write would be gated; you are never asked to build or connect anything, and you must not use real patient, payer, or staff data anywhere in the submission.

Does this level teach coding, reimbursement, or clinical triage automation?

No. Workflows in this level track status, assemble paperwork, retrieve controlled documents, and route work to people. They never select a code, interpret a payer rule, predict payment, judge urgency, or produce clinical content. Level 3 teaches you to recognise a specification that has drifted across that line.

What if my practice has no formal governance yet?

That is the usual starting point. The level builds the artefacts in the order a small practice can actually adopt them: one workflow map, one procedure, one knowledge source, one measurement. Level 4 takes those artefacts and builds a governance structure around them.

What do I receive when I finish?

A Level 3 certificate issued by AI Coalition Network with a public verification page and QR code. It records completion of this course only; it is not a licence, a professional credential, or a regulatory approval, and it carries no professional education hours or approvals.

Master AI Medical Practice Certification · Level 3 · Advanced Operations

Advanced AI Practice Operations

Level 3 of the Master AI Medical Practice Certification

Turn individual AI habits into practice operations: workflow maps, written standard operating procedures, governed knowledge bases, controlled integrations with the practice-management system and electronic health record, risk tiering, quality-assurance sampling, escalation ladders, and honest performance measurement.

Enroll in Level 3 Full curriculum Level 2 first

Level: 3 of 6
Difficulty: Advanced
Estimated time: 13 hours
Modules: 5
Curriculum: Version 2026.3

About this level

Level 2 taught one person to produce a defensible AI-assisted draft. Level 3 asks a harder question: how does a whole practice do that on a Tuesday afternoon when the referral coordinator is out, a payer changed its submission checklist last week, and the front desk has four new hires?

The answer is operations. This level maps the administrative work of a practice as a sequence of steps, marks which of those steps AI may assist and which belong to a qualified person, and writes each one down as a standard operating procedure a new hire can follow without asking anyone. Around the procedures you build the supporting structures: a knowledge base of controlled practice documents that answers questions with citations instead of memory; an integration specification that says exactly what an automated process may read, what it may write, under whose identity, and behind which approval; a four-question risk tier that decides how much control a workflow needs; a quality-assurance sampling plan with error codes and thresholds; an escalation ladder with named owners and stop conditions; and a measurement plan with a manual baseline, so that improvement claims are evidence rather than enthusiasm.

The clinical boundary does not soften as the sophistication rises. It hardens. A workflow that counts and summarises portal traffic is administrative; the same workflow that starts sorting messages by urgency has become something the practice has not governed, and Level 3 teaches you to spot that transition in a specification before anyone builds it. The same discipline applies to money: a workflow may track where an authorization request sits and repeat what the payer said, and it may never select a code, interpret a payer rule, or predict what will be paid.

The capstone is a full redesign of one administrative workflow, run on invented data, with the procedure, tier analysis, knowledge base design, integration specification, sampling plan, measurement plan, and a memo to the practice administrator recommending whether to proceed.

This is an independent educational course offered by AI Coalition Network. It is not a medical, nursing, or other healthcare licence or credential, and it does not replace professional judgment, clinical protocols, legal counsel, privacy or compliance review, payer requirements, or applicable federal or state law.

What you will be able to do

Map an administrative workflow step by step and mark each step as AI-assistable preparation, qualified-person judgment, or a decision that belongs to a clinician, a payer, or practice leadership.
Write a standard operating procedure a new hire can follow, with hard stops written first, a named reviewer role, exception paths, retention, metrics, and retest triggers.
Design a practice knowledge base with document control, scoped retrieval, a citation rule, and a retrieval test set that catches stale or out-of-scope answers.
Specify an integration with the practice-management system or electronic health record that defaults to read-only, lists every permitted write with its approval gate, and runs under a dedicated least-privilege identity.
Assign a risk tier to any proposed administrative AI workflow using four questions, and attach controls, sampling, and escalation that are proportionate to that tier.
Measure operational performance with a manual baseline, leading and lagging indicators, reviewer-load figures, and error-rate sampling, and state plainly what the numbers do and do not prove.

Modules and lessons

Module 01

Workflow Mapping and Practice Procedures

Break an administrative workflow into steps, mark each step as AI-assistable preparation, qualified-person judgment, or a decision reserved to a clinician, a payer, or practice leadership, and turn the result into a written procedure a new hire can follow.

Mapping the Administrative Work of a Practice 55 min
Writing a Procedure a New Hire Can Follow 55 min
Hard Stops, Exception Paths, and Owner Roles 50 min

Module 02

Knowledge Bases and Retrieval for Practice Documents

Build a controlled set of practice documents an assistant may answer from, with version fields, scoped retrieval, a citation rule that makes every answer checkable, and a test set that catches stale, out-of-scope, and unanswerable questions before staff rely on them.

What Belongs in a Practice Knowledge Base 50 min
Document Control, Citations, and Answerability 50 min
Retrieval Test Sets and Drift Checks 50 min

Module 03

Integrations with Practice Systems

Specify what an AI-assisted process may read from the practice-management system and electronic health record, what it may write and behind which approval gate, which identity it runs under, and which boundaries it must never cross, before anyone connects anything.

Read-Only by Default and Permitted Write Lists 55 min
Service Identities, Vendor Registers, and Agreements 50 min
Interface Boundaries and What Never Crosses 50 min

Module 04

Risk Tiering, Quality Assurance, and Escalation

Assign a defensible risk tier to any proposed administrative workflow with four questions, attach proportionate controls, sample the live work against an error-code sheet with thresholds, and run an escalation ladder that stops a workflow the same day when something serious happens.

A Four-Question Risk Tier for Administrative AI 50 min
Sampling, Error Codes, and Thresholds 50 min
Escalation Ladders and Stop Conditions 45 min

Module 05

Performance Measurement and Advanced Practice Cases

Measure what an AI-assisted workflow actually changed using a manual baseline, leading and lagging indicators, and reviewer-load figures, then apply the whole method to three demanding administrative cases across scheduling, referrals, and the billing office.

Baselines, Leading and Lagging Measures 50 min
Reviewer Load and the Cost of Oversight 45 min
Advanced Cases: Scheduling, Referrals, and the Billing Office 55 min

Assessment

Level 3 Final Examination: Advanced AI Practice Operations

Questions: 18
Time limit: 75 minutes
Passing score: 80%
Attempts: 3

Questions are drawn at random from a reviewed bank. Every module also has a knowledge check.

Capstone project

Capstone: Practice Workflow Redesign

Workflow map with data class, baseline elapsed time, and every step marked preparation, qualified-person judgment, or reserved decision, with justifications for each AI-assistable marking.
Complete standard operating procedure on the course template, with hard stops first, named actors, ordered review checks, exceptions, escalation, retention, metrics, and retest triggers.
Risk tier analysis with all four questions answered, the worst realistic wrong output stated in full, proportionate controls, and a list of steps removed or reassigned.
Knowledge base design with include and exclude decisions, document-control fields, citation rule, refusal sentence, scope statement, and a five-question retrieval test set with expected answers and sources.
Integration specification with field-level reads, a gated permitted-write table, an explicit prohibited-write list, service identity, failure handling, vendor register, and a boundary paragraph.
Quality-assurance plan with sampling, error codes, thresholds, sampler independence, a rehearsal plan, and a monthly report outline.
Measurement plan with a manual baseline method, leading and lagging indicators, reviewer load measures, and a reporting template with limitations, plus log entries for three fictional runs including one hard stop and one exception or escalation.
One-page memo to the practice administrator.

Reviewed by a person against a published rubric. Passing score 80%.

Completion and certificate

Complete every published lesson in all five modules.
Pass each module knowledge check with a score of 80 percent or higher.
Pass the Level 3 final examination with a score of 80 percent or higher within the allowed attempts.
Submit the Level 3 capstone and receive a reviewer score of 80 or higher.
Acknowledge the academic-integrity statement before each examination attempt.

On completion you receive the certificate Advanced AI Practice Operations (Level 3 of 6) with a unique number, a QR code, and a public verification page. Completing this level alone does not complete the master certification.

Frequently asked questions

How is Level 3 different from Level 2?: Level 2 makes one person's AI-assisted work defensible. Level 3 makes the practice's work repeatable: written procedures, controlled knowledge sources, specified integrations, risk tiers, sampling, escalation, and measurement that survive staff turnover and a bad week.
Do I need access to my practice's systems to complete the capstone?: No. The capstone is a design document run on invented cases. You specify what an integration would read and write and how each write would be gated; you are never asked to build or connect anything, and you must not use real patient, payer, or staff data anywhere in the submission.
Does this level teach coding, reimbursement, or clinical triage automation?: No. Workflows in this level track status, assemble paperwork, retrieve controlled documents, and route work to people. They never select a code, interpret a payer rule, predict payment, judge urgency, or produce clinical content. Level 3 teaches you to recognise a specification that has drifted across that line.
What if my practice has no formal governance yet?: That is the usual starting point. The level builds the artefacts in the order a small practice can actually adopt them: one workflow map, one procedure, one knowledge source, one measurement. Level 4 takes those artefacts and builds a governance structure around them.
What do I receive when I finish?: A Level 3 certificate issued by AI Coalition Network with a public verification page and QR code. It records completion of this course only; it is not a licence, a professional credential, or a regulatory approval, and it carries no professional education hours or approvals.

Sources consulted

Primary sources that shaped this level. Each is labelled by what kind of authority it is; consult the original for the current text.

AI Coalition Network — Certification Educational Standard: Human Review of AI-Assisted Professional Work AI Coalition Network educational standard · accessed Sep 14, 2026
Assistant Secretary for Technology Policy / Office of the National Coordinator for Health Information Technology — Information Blocking (45 CFR Part 171) Regulation · accessed Sep 3, 2026
Assistant Secretary for Technology Policy / Office of the National Coordinator for Health Information Technology, with the HHS Office for Civil Rights — Security Risk Assessment Tool Industry guidance · accessed Sep 3, 2026
Centers for Medicare & Medicaid Services — CMS Interoperability and Prior Authorization Final Rule (CMS-0057-F) Regulation · published Feb 8, 2024 · accessed Sep 3, 2026
Federation of State Medical Boards — Navigating the Responsible and Ethical Incorporation of Artificial Intelligence into Clinical Practice Professional rule · accessed Sep 3, 2026
National Institute of Standards and Technology — Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile, NIST AI 600-1 Standard or framework · published Jul 26, 2024 · accessed Sep 14, 2026
National Institute of Standards and Technology — Artificial Intelligence Risk Management Framework (AI RMF 1.0), NIST AI 100-1 Standard or framework · published Jan 26, 2023 · accessed Sep 3, 2026
Office of the National Coordinator for Health Information Technology (HHS) — Health Data, Technology, and Interoperability: Certification Program Updates, Algorithm Transparency, and Information Sharing (HTI-1 final rule), 89 FR 1192 Regulation · published Jan 9, 2024 · accessed Sep 3, 2026
OWASP Foundation — OWASP Top 10 for LLM Applications 2025 Standard or framework · published Nov 18, 2024 · accessed Sep 14, 2026
U.S. Department of Health and Human Services, Office for Civil Rights — Summary of the HIPAA Privacy Rule (45 CFR Parts 160 and 164, Subparts A and E) Regulation · accessed Sep 3, 2026
U.S. Department of Health and Human Services, Office for Civil Rights — Summary of the HIPAA Security Rule (45 CFR Part 164, Subpart C) Regulation · accessed Sep 3, 2026
U.S. Department of Health and Human Services, Office for Civil Rights — Business Associate Contracts: Sample Business Associate Agreement Provisions Industry guidance · accessed Sep 3, 2026
U.S. Department of Health and Human Services, Office for Civil Rights — Minimum Necessary Requirement Industry guidance · accessed Sep 3, 2026
U.S. Department of Health and Human Services, Office for Civil Rights — Guidance on HIPAA and Cloud Computing Industry guidance · accessed Sep 3, 2026
U.S. Department of Health and Human Services, Office for Civil Rights — Guidance Regarding Methods for De-identification of Protected Health Information in Accordance with the HIPAA Privacy Rule Industry guidance · published Nov 26, 2012 · accessed Sep 3, 2026
U.S. Food and Drug Administration — Clinical Decision Support Software: Guidance for Industry and Food and Drug Administration Staff Industry guidance · published Jan 29, 2026 · accessed Sep 3, 2026

Who it is for

Practice administrators and office managers; front-office and patient-access supervisors; referral, authorization, and revenue-cycle team leads; quality-improvement and compliance staff at physician practices; healthcare IT and implementation staff supporting ambulatory practices; clinic operations managers in multi-site groups. Learners should have completed Level 2 or have equivalent experience producing reviewed, logged AI-assisted administrative work.

Prerequisites

Level 2, Certified AI Medical Practice Professional, must be completed first. An administrator may record a documented waiver for a learner who can show equivalent applied experience with prompt libraries, verification logs, and protected health information handling.

Program roadmap

L1 · AI Foundations for Medical Practices Available
L2 · Certified AI Medical Practice Professional Available
L3 · Advanced AI Practice Operations Available
L4 · Master AI Medical Practice Certification Available
L5 · AI Healthcare Operations Specialist Available
L6 · Certified AI Healthcare Instructor Available

Review cycle

Curriculum version 2026.3. Last reviewed Sep 3, 2026. Next review scheduled Sep 3, 2027.

Independent professional education

MAMPC is an independent professional education program focused on administrative and operational uses of AI. It is not a medical, nursing, or other healthcare license or professional credential and does not replace physician or nursing judgment, clinical protocols, legal counsel, privacy or compliance review, payer requirements, or applicable law. The program does not teach diagnosis, prescribing, individualized treatment, clinical decision-making, or unauthorized coding and reimbursement guidance. AI-generated content requires qualified human review, and patient information must be handled through approved systems in accordance with applicable privacy and security requirements. The program is not endorsed by any government agency, regulator, healthcare system, medical association, professional organization, or standards body. No professional education hours or approvals are claimed, and no clinical outcome, reimbursement, compliance, patient-experience, operational, or financial result is guaranteed.