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Master AI Medical Practice Certification · Digital course

MAMPC Level 1: AI Foundations for Medical Practices

Self-paced enrollment in the 15-module MAMPC Level 1 curriculum, covering responsible administrative AI across patient communication, scheduling, documentation, revenue cycle, quality, security, technology, governance, and practice leadership.

Modules
16
Estimated time
40 hours
Access
Self-paced

Single-user enrollment

$299.00

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 16 modules
  1. Module 01

    Modern Artificial Intelligence for Medical Practice Teams

    What the systems sold as "AI" in a physician practice actually are, and why that changes how you check them. This module separates rules, machine learning and generative AI, explains language models and speech-to-text, opens up retrieval, tools and agents, and maps practice tool categories to the terms, FDA's product line and what physicians report.

  2. Module 02

    What AI Gets Wrong in Healthcare Work, and Why It Sounds Right

    Why fluent AI output can be wrong in ways that are hard to see. This module covers confabulated rules and citations, stale guidance, omissions in summaries, elaboration on a planted false detail and prompt sensitivity, shows how to read healthcare AI evidence by what each study actually tested, and builds habits that resist automation bias.

  3. Module 03

    Protected Health Information, HIPAA and Where Patient Data Goes

    What patient information HIPAA protects, in any form including recordings, and where it goes when someone uses an AI tool. This module covers covered entities and Part 2 records, vendor terms, business associates and their agreements, permitted uses and minimum necessary, real de-identification, and a method for deciding what may go into which system.

  4. Module 04

    Accountability and the Clinical Line: Who Owns What AI Produces

    The duties that do not move when an AI tool helps. This module covers the physician accountability that FSMB guidance describes, AMA policy on consent and final review, the line between administrative support and clinical judgment under state examples and Medicare supervision rules, and how staff route every clinical output to a named licensed clinician.

  5. Module 05

    Researching Payer Rules, Regulations and Guidance With AI, and Checking Their Status

    How to research a payer rule, regulation or guidance document with AI as an assistant, not an authority. This module builds a research workflow, verifies every citation at its official source, works through current examples of proposed, superseded and vacated rules, and shows how to record the source, the date checked and the status.

  6. Module 06

    Prompt Engineering for Medical Practice Administration

    How to write prompts for administrative work in a physician practice, and what prompts cannot do. This module sets out a structured prompt, a data check before any prompt, the limits shown by research on planted false details and the jagged frontier, and draft patterns for schedules, letters, forms, policy summaries, training and translation.

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.