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Master AI Medical Practice Certification · Digital course

MAMPC Level 4 — Master AI Medical Practice Certification

Self-paced enrollment in Level 4 of the Master AI Medical Practice Certification: Govern AI across a medical practice: a governance structure with real accountability, a use register, vendor due diligence and agreements, security and privacy controls at practice scale, regulatory and ethical risk analysis, independent verification, and the leadership work of implementation, training, and defensible decisions.

Modules
14
Estimated time
40 hours
Access
Self-paced

Single-user enrollment

$649.00

One-time purchase

Enrollment includes

Responsible AI training built for medical-practice operations

Evaluate AI tools for medical-practice administrative use cases, limitations, patient privacy, security, vendor risk, and clinical boundaries.

Create reliable prompts and verification procedures for scheduling, communication, documents, staff knowledge, reporting, and approved marketing.

Improve front-office and revenue-cycle workflows without fabricating codes, payer rules, authorizations, reimbursement guidance, or clinical advice.

Design automations with minimum-necessary access, permissions, approvals, exceptions, audit trails, output checks, and human escalation.

Curriculum at a glance

From AI foundations to healthcare operations leadership

View all 14 modules
  1. Module 01

    What a Practice Owes: Accountability for AI Across a Medical Practice

    Level 4 begins with accountability. Trace where AI decisions hide between the switchboard, the portal inbox, the documentation queue and the billing office, name the owners HIPAA and compliance guidance already expect, read the board and association silence honestly, and write the list nothing may take from a person.

  2. Module 02

    Writing the Practice AI Governance Programme

    Build the programme a practice can actually operate: a permitted-use inventory and approved tool list, a way to find shadow AI, decision rights and stop authority, and all of it fitted inside the compliance programme already running. Use the voluntary frameworks as vocabulary for asking questions, never as rules.

  3. Module 03

    The AI Decision Record and Surviving Staff and Ownership Turnover

    A governance decision that nobody can reconstruct is a decision the practice will make again, badly. Write down why each choice was made, by whom and on what evidence, decide how long to keep it, re-open it when the tool or the rule moves, and leave a record a successor or an investigator can actually follow.

  4. Module 04

    The Regulatory Map: What Binds the Practice, the Manufacturer, the Developer and the Payer

    Four columns, and only two routes between them. Learn to place every AI instrument against the party it actually binds, trace how manufacturer, developer and health plan rules reach a practice through a product or a contract, and date every entry so the map ages visibly instead of silently.

  5. Module 05

    Due Diligence on a Healthcare AI Supplier

    Before patient information reaches a supplier, find out where it goes, who else touches it, whether it trains anything, how the product is built and how it changes. Then learn to tell a real answer from a practised evasion, and what a practice does when a supplier will not answer at all.

  6. Module 06

    Validation Evidence, Published Accuracy and the Practice's Own Acceptance Test

    A published figure is a measurement of something, somewhere, by someone. Learn to ask what was measured and what was not, why an examination benchmark is a capability signal rather than a workplace result, why documentation and coding studies disagree with each other, and how to design the practice's own acceptance test.

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.