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Master AI Medical Practice Certification · Digital course

MAMPC Level 5 — AI Healthcare Operations Specialist

Self-paced enrollment in Level 5 of the Master AI Medical Practice Certification: Build the automated side of practice operations safely: narrowly scoped agents, orchestrated multi-step workflows, integrations through interfaces and identities you control, human approval gates, defences against hostile input, audit logging that answers questions, incident response, and return measured honestly.

Modules
14
Estimated time
40 hours
Access
Self-paced

Single-user enrollment

$599.00

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 an Automation May Do in a Medical Practice: Authority and Its Limits

    Level 5 opens with authority. Place every practice automation on a three-level scale, keep excessive agency out of the front desk and the clinical inbox, write each automation's bounds into a register a covering manager can read, and hold the list of acts that never leave a licensed or authorised person.

  2. Module 02

    Orchestrating Intake, Registration, Referrals and Document Requests

    Automate the paperwork around a new patient without automating anyone's judgement. Map each step with the data it may see, place the escalation that fires the moment an answer stops being administrative, recognise consent-protected records inside an incoming packet, and never let a queue become a delay in access.

  3. Module 03

    Orchestrating Recalls, Reminders and Patient Outreach

    Outreach at scale is where a practice most easily breaks a rule it never read. Capture consent so it can be revoked and honoured everywhere, treat a generated voice as an artificial voice, know the line where a reminder becomes marketing or a review request becomes a prohibited practice, and design for the patient who replies with a symptom.

  4. Module 04

    The Integration Map and Data Contracts

    Before an automation moves one record, the practice maps every system it touches, marks every boundary patient information crosses and who is a business associate at each one, writes a data contract naming required, forbidden and missing-field behaviour, reads its certified EHR's source attributes, and records where the records physically sit.

  5. Module 05

    EHR and Practice-Management Integration: Read First, Write With Approval

    An automation may read, extract, summarise, stage and propose. Every write to the chart, the claim or the schedule is earned separately and committed by a named person. This module separates the staged proposal from the committed write, holds the objects no automation touches, and follows the trail each write leaves.

  6. Module 06

    Claims, Payments, Refunds and Segregation of Duties

    Automation near the claim and near the money needs separated duties: whoever configures an automation cannot approve what it produces, banking and payee changes take dual control verified away from the request, and no automation submits a claim, assigns a final code, appeals or issues a refund on its own authority.

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.