Master AI Medical Practice Certification · Level 1
Build a responsible AI foundation for patient communication, scheduling, front-office work, administrative documentation, revenue cycle, quality improvement, security, technology, governance, and practice leadership.
Six-level pathway
Levels are completed in order. Each has its own modules, knowledge checks, final examination, and certificate; Levels 3 to 5 add a reviewed capstone and Level 6 a teach-back assignment.
Level 1 · Foundations
30 hours · 15 modules · Open for enrollment
Level 2 · Certified Professional
12 hours · 5 modules · Open for enrollment
Level 3 · Advanced Operations
13 hours · 5 modules · Open for enrollment
Level 4 · Master Certification
16 hours · 5 modules · Open for enrollment
Level 5 · Automation Specialist
14 hours · 5 modules · Open for enrollment
Level 6 · Certified Instructor
13 hours · 5 modules · Open for enrollment
Course outline
Each module connects practical administrative AI capability to patient privacy, minimum-necessary access, qualified review, clinical boundaries, source verification, cybersecurity, auditability, escalation, and accountable decisions.
Module 01
3 lessonsUnderstand 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.
Module 02
3 lessonsMap 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.
Module 03
3 lessonsApply 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.
Module 04
3 lessonsBuild 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.
Module 05
3 lessonsImprove 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.
Module 06
3 lessonsSupport 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.
Module 07
3 lessonsCreate 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.
Module 08
3 lessonsImprove 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.
Module 09
3 lessonsUse 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.
Module 10
3 lessonsDevelop 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.
Module 11
3 lessonsProtect 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.
Module 12
3 lessonsDesign 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.
Module 13
3 lessonsUnderstand 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.
Module 14
3 lessonsLead strategy, hiring, staff training, policy management, performance measurement, department dashboards, operational planning, growth, executive reporting, responsible adoption, implementation sequencing, and measurable return on investment.
Module 15
3 lessonsEvaluate 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.
Learning outcomes
Assessment
The final assessment measures how well you apply the curriculum to realistic scheduling, communication, documentation, revenue-cycle, quality, security, technology, governance, and leadership scenarios without crossing into clinical decision-making.
Start with the vendor-neutral foundations, privacy controls, human-review requirements, and administrative workflows covered across the complete Level 1 curriculum.
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.