Do I need a clinical or technical background to take Level 1?

No. Level 1 is written for everyone who works in or runs a medical practice. It explains the technology in plain language and never requires you to write code, configure software, or interpret clinical information.

Does Level 1 teach me to use AI for diagnosis, treatment, or coding?

No, and neither does any later level. The programme is administrative and operational. It teaches you to use AI for scheduling, communication, documents, workflows, security, and practice management, and it teaches you to recognise and stop AI output that drifts toward diagnosis, prescribing, treatment, or coding and reimbursement determinations.

Can I paste patient information into an AI tool during the course?

No. Every exercise uses invented practices and patients. Protected health information belongs only in systems your practice has approved under a business associate agreement, and the course teaches you how to make that determination.

Which AI tools does the course use?

The course is vendor-neutral. Exercises can be completed with any general-purpose assistant your practice has approved for non-patient data, and the lessons explain how to evaluate whether a tool is suitable for the information involved.

What do I receive when I finish?

A Level 1 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.

Master AI Medical Practice Certification · Level 1 · Foundations

AI Foundations for Medical Practices

Level 1 of the Master AI Medical Practice Certification

The responsible AI grounding medical-practice teams need before applying AI to patient communications, scheduling, documentation, revenue-cycle workflows, technology, security, or administrative operations.

Enroll in Level 1 Full curriculum

Level: 1 of 6
Difficulty: Beginner
Estimated time: 30 hours
Modules: 15
Curriculum: Version 2026.2

About this level

Level 1 is the vocabulary and the boundaries. Across fifteen modules it explains what machine learning, generative AI, language models, voice systems, and agents actually do; where they fail, and why a fluent answer about a payer rule or a patient's question can be wrong; and how a medical practice decides which tasks AI may touch at all.

The course is written for the whole practice, not only the technically minded. Front-desk, scheduling, registration, referral, authorization, billing, and marketing staff learn the same rules as administrators and practice owners: protected health information goes only into systems the practice has approved under a business associate agreement; the minimum necessary information is used for every task; a qualified person reviews AI output before it reaches a patient, a payer, or a record; and nothing the software produces is ever treated as a diagnosis, a prescription, a treatment recommendation, or a coding or reimbursement determination.

Modules cover AI fundamentals, medical-practice operations, responsible AI and healthcare compliance, prompt engineering for administrative tasks, patient communication, scheduling and front-office automation, documentation and administrative efficiency, revenue-cycle workflows, quality improvement, marketing and practice growth, cybersecurity and AI governance, narrowly scoped AI agents, healthcare technology and interoperability concepts, leadership and change management, and the future of AI in healthcare operations. Each module ends with a knowledge check and the course ends with a comprehensive examination drawn at random from the full question bank.

Everything is vendor-neutral and every example uses invented practices and patients. Completing Level 1 is the prerequisite for Level 2, Certified AI Medical Practice Professional.

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 physician or nursing judgment, clinical protocols, legal counsel, privacy or compliance review, payer requirements, or applicable law.

What you will be able to do

Explain in plain language what machine learning, generative AI, language models, voice systems, and AI agents do, and where each one fails in a medical-practice setting.
Classify practice information as public, internal, or protected health information before it reaches any AI tool, and name the systems the practice has approved for each class.
Describe the administrative line: the tasks AI may support in a practice and the clinical, prescribing, treatment, and coding or reimbursement decisions it must never make or appear to make.
Write and test structured prompts for scheduling, patient communication, administrative documents, meeting records, staff training, and reviewed marketing.
Identify the human reviewer for every AI-assisted output and explain why qualified review, escalation, and audit trails are conditions of use rather than optional extras.
Recognise the privacy, security, vendor, bias, and transparency risks of AI in healthcare operations and the governance controls a practice uses to manage them.
Map the patient journey from scheduling to statement and identify where AI can reduce administrative friction without touching clinical judgment.

Modules and lessons

Module 01

Artificial Intelligence Fundamentals

Understand machine learning, generative and multimodal AI, language and reasoning models, voice systems, computer vision, agents, automation, hallucinations, and the limits that require qualified human review in healthcare settings.

Artificial Intelligence Fundamentals: Professional Foundations 50 min
Controlled Workflows for Artificial Intelligence Fundamentals 50 min
Applied Lab: Artificial Intelligence Fundamentals 50 min

Module 02

Medical Practice Operations

Map the patient journey across scheduling, registration, front-desk work, documentation concepts, referrals, authorizations, billing, coding awareness, revenue cycle, communications, reporting, and operational metrics without crossing into clinical decision-making.

Medical Practice Operations: Professional Foundations 50 min
Controlled Workflows for Medical Practice Operations 50 min
Applied Lab: Medical Practice Operations 50 min

Module 03

Responsible AI, Ethics, and Healthcare Compliance

Apply patient privacy, confidentiality, minimum-necessary access, governance, human oversight, bias controls, transparency, documentation, retention, audit trails, vendor risk, and professional accountability to administrative AI use.

Responsible AI, Ethics, and Healthcare Compliance: Professional Foundations 50 min
Controlled Workflows for Responsible AI, Ethics, and Healthcare Compliance 50 min
Applied Lab: Responsible AI, Ethics, and Healthcare Compliance 50 min

Module 04

Prompt Engineering for Medical Practices

Build reusable, verified prompts for scheduling, patient communications, administrative documents, meetings, policies, staff training, marketing, knowledge bases, and workflow automation while excluding diagnosis, prescribing, and individualized treatment advice.

Prompt Engineering for Medical Practices: Professional Foundations 50 min
Controlled Workflows for Prompt Engineering for Medical Practices 50 min
Applied Lab: Prompt Engineering for Medical Practices 50 min

Module 05

Patient Communication

Improve appointment communication, approved patient education, FAQs, portal messages, telephone scripts, voice workflows, email and SMS templates, follow-up, satisfaction, language access, accessibility, and clear human escalation procedures.

Patient Communication: Professional Foundations 50 min
Controlled Workflows for Patient Communication 50 min
Applied Lab: Patient Communication 50 min

Module 06

Scheduling and Front Office Automation

Support online and resource scheduling, provider calendars, cancellations, wait lists, registration, insurance-verification workflows, eligibility concepts, digital intake, electronic forms, queues, and check-in with staff-controlled exceptions.

Scheduling and Front Office Automation: Professional Foundations 50 min
Controlled Workflows for Scheduling and Front Office Automation 50 min
Applied Lab: Scheduling and Front Office Automation 50 min

Module 07

Documentation and Administrative Efficiency

Create and organize meeting minutes, policies, procedures, staff communications, knowledge resources, agendas, training guides, OCR workflows, document search, and voice-dictation concepts with source checks, permissions, and final review.

Documentation and Administrative Efficiency: Professional Foundations 50 min
Controlled Workflows for Documentation and Administrative Efficiency 50 min
Applied Lab: Documentation and Administrative Efficiency 50 min

Module 08

Revenue Cycle Management

Improve patient statements, payment-plan and collections communication, billing workflows, coding-support concepts, claim-status work, denial tracking, prior-authorization workflows, financial reporting, and dashboards without fabricating codes, payer rules, reimbursement guidance, or approvals.

Revenue Cycle Management: Professional Foundations 50 min
Controlled Workflows for Revenue Cycle Management 50 min
Applied Lab: Revenue Cycle Management 50 min

Module 09

Quality Improvement

Use workflow mapping, operational metrics, patient-experience measures, key performance indicators, standard procedures, process improvement, benchmarking, executive dashboards, and business intelligence while documenting assumptions and responsible owners.

Quality Improvement: Professional Foundations 50 min
Controlled Workflows for Quality Improvement 50 min
Applied Lab: Quality Improvement 50 min

Module 10

Marketing and Practice Growth

Develop reviewed website content, local search, business profiles, educational articles, social and email campaigns, video scripts, landing pages, reputation workflows, and community outreach without unsupported clinical, outcome, or comparative claims.

Marketing and Practice Growth: Professional Foundations 50 min
Controlled Workflows for Marketing and Practice Growth 50 min
Applied Lab: Marketing and Practice Growth 50 min

Module 11

Cybersecurity and AI Governance

Protect sensitive information through encryption, role-based access, identity controls, multifactor authentication, data classification, secure prompting, vendor security, incident response, recovery planning, risk registers, governance, and business continuity.

Cybersecurity and AI Governance: Professional Foundations 50 min
Controlled Workflows for Cybersecurity and AI Governance 50 min
Applied Lab: Cybersecurity and AI Governance 50 min

Module 12

AI Agents for Medical Practice Operations

Design narrowly scoped scheduling, front-desk, communication, referral, billing-support, knowledge, marketing, compliance, reporting, and training agents with permissions, approval checkpoints, audit logs, escalation rules, security protections, and output verification.

AI Agents for Medical Practice Operations: Professional Foundations 50 min
Controlled Workflows for AI Agents for Medical Practice Operations 50 min
Applied Lab: AI Agents for Medical Practice Operations 50 min

Module 13

Healthcare Technology and Interoperability Concepts

Understand electronic health record and practice-management systems, patient portals, document management, OCR, voice AI, dashboards, APIs, FHIR and HL7 concepts, and secure messaging without presenting implementation examples as production clinical integrations.

Healthcare Technology and Interoperability Concepts: Professional Foundations 50 min
Controlled Workflows for Healthcare Technology and Interoperability Concepts 50 min
Applied Lab: Healthcare Technology and Interoperability Concepts 50 min

Module 14

Leadership and Change Management

Lead strategy, hiring, staff training, policy management, performance measurement, department dashboards, operational planning, growth, executive reporting, responsible adoption, implementation sequencing, and measurable return on investment.

Leadership and Change Management: Professional Foundations 50 min
Controlled Workflows for Leadership and Change Management 50 min
Applied Lab: Leadership and Change Management 50 min

Module 15

Future of AI in Healthcare Operations

Evaluate ambient-documentation concepts, voice AI, predictive analytics, remote-monitoring concepts, digital assistants, operational automation, interoperability, emerging rules, workforce change, and healthcare innovation through privacy, safety, evidence, and governance review.

Future of AI in Healthcare Operations: Professional Foundations 50 min
Controlled Workflows for Future of AI in Healthcare Operations 50 min
Applied Lab: Future of AI in Healthcare Operations 50 min

Assessment

Level 1 Final Comprehensive Examination

Questions: 30
Time limit: 120 minutes
Passing score: 80%
Attempts: 3

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

Completion and certificate

Complete every published lesson in all fifteen modules.
Pass each module knowledge check with a score of 80 percent or higher.
Pass the Level 1 Final Comprehensive Examination with a score of 80 percent or higher within the allowed attempts.
Acknowledge the academic-integrity statement before each examination attempt.

On completion you receive the certificate AI Foundations for Medical Practices (Level 1 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

Do I need a clinical or technical background to take Level 1?: No. Level 1 is written for everyone who works in or runs a medical practice. It explains the technology in plain language and never requires you to write code, configure software, or interpret clinical information.
Does Level 1 teach me to use AI for diagnosis, treatment, or coding?: No, and neither does any later level. The programme is administrative and operational. It teaches you to use AI for scheduling, communication, documents, workflows, security, and practice management, and it teaches you to recognise and stop AI output that drifts toward diagnosis, prescribing, treatment, or coding and reimbursement determinations.
Can I paste patient information into an AI tool during the course?: No. Every exercise uses invented practices and patients. Protected health information belongs only in systems your practice has approved under a business associate agreement, and the course teaches you how to make that determination.
Which AI tools does the course use?: The course is vendor-neutral. Exercises can be completed with any general-purpose assistant your practice has approved for non-patient data, and the lessons explain how to evaluate whether a tool is suitable for the information involved.
What do I receive when I finish?: A Level 1 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.

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
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 (AI RMF 1.0), NIST AI 100-1 Standard or framework · published Jan 26, 2023 · accessed Sep 14, 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
U.S. Department of Health and Human Services, 405(d) Program — Health Industry Cybersecurity Practices: Managing Threats and Protecting Patients (HICP), 2023 Edition Recommended practice · accessed Sep 2, 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 — Breach Notification Rule (45 CFR §§ 164.400–414) 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. 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 2, 2026

Who it is for

Physician-practice owners, administrators, office managers, and executives; reception, scheduling, registration, and care-coordination staff; referral, authorization, billing, and revenue-cycle teams; compliance, quality, and clinical-operations leaders; healthcare IT and implementation professionals; medical-office assistants and healthcare students. No prior AI or technical background is assumed.

Prerequisites

None. Level 1 is the entry point to the Master AI Medical Practice Certification and assumes no prior AI knowledge. Familiarity with how a medical practice runs day to day is helpful but not required.

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 2026.2. Last reviewed Sep 2, 2026. Next review scheduled Sep 2, 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.