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Master AI Medical Practice Certification · Digital course

MAMPC Level 2 — Certified AI Medical Practice Professional

Self-paced enrollment in Level 2 of the Master AI Medical Practice Certification: Apply AI to the everyday administrative work of a medical practice: structured prompting for patient messages, intake forms, referral and authorization paperwork, billing-office correspondence, and research, with the privacy, clinical-boundary, and record-keeping habits a practice needs.

Modules
14
Estimated time
40 hours
Access
Self-paced

Single-user enrollment

$499.00

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

    From Foundations to Practice: The Level 2 Operating Model

    Level 2 turns the foundations into a working routine. This module triages a practice task before any tool is opened, runs an assisted task from source material to a reviewed output, reads a vendor's accuracy claims for who measured what, and keeps the AI use record while the work happens rather than afterwards.

  2. Module 02

    Prompting Architecture for Practice and Payer Tasks

    A reusable way to write practice and payer instructions: supply the policy text, form or administrative facts rather than asking the model to recall them, state payer type, state, date of service and plan year, constrain the output to administrative content, refine deliberately, and treat instruction-like text inside faxes and referral packets as data.

  3. Module 03

    The Practice Prompt Library: Ownership, Versions and Retest Triggers

    A practice prompt only stays safe while the world it was written for holds still. This module gives every library entry an owner, a data class and a version, ties retesting to real change events such as the fiscal-year coding guidelines and CMS manual revisions, and covers supervising, monitoring and retiring entries.

  4. Module 04

    Controlled Drafting From a Verified Patient File

    Build a verified fact file from the record and the practice system, draft only from it, and find what a draft invented, left out or smoothed over. Covers who must read the draft before it goes out, and why anything pertaining to clinical information belongs to the licensed clinician.

  5. Module 05

    Reviewing Referrals, Faxes and Outside Records Against a Checklist

    Extract referral packets, insurance cards and outside records into a fixed field list the practice owns, check every field against the source, and flag what the checklist does not cover. Covers recognising substance use disorder records, minimum necessary when routing extracted data, and the provider knowledge standard.

  6. Module 06

    The Signed Note: Reviewing AI-Captured Documentation Before Signature

    What a clinician checks before signing a note captured with AI: that it documents the care given, records what happened and nothing that did not, and supports what will be billed. Covers draft and version discipline, electronic signature protections, who may prepare what, and monitoring for occasional inaccuracies.

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.