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Master AI Dental Practice Certification · Level 1

AI Foundations for Dental Practices

Build a responsible AI foundation for patient communication, scheduling, front-office work, treatment-coordination support, administrative documentation, revenue cycle, marketing, security, technology, governance, and dental-practice leadership.

Enroll in Level 1 Program overview
Level
1
Modules
16
Estimated time
40 hours
Curriculum
Version 2026.4

Six-level pathway

Every level of the MADPC program

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.

  1. Level 1 · Foundations

    AI Foundations for Dental Practices

    40 hours · 16 modules · Open for enrollment

    • Modern Artificial Intelligence for Dental Teams
    • What AI Gets Wrong in Dental Practice Work, and Why It Sounds Right
    • Protected Health Information, HIPAA and Where Dental Patient Data Goes
    • Accountability and the Clinical Line: Who Owns What AI Produces
    • Researching Board Rules, Payer Policies and Guidance With AI, and Checking Their Status
    • Prompt Engineering for Dental Practice Administration
    • and 10 more

  2. Level 2 · Certified Professional

    Certified AI Dental Practice Professional

    40 hours · 14 modules · Open for enrollment

    • From Foundations to Practice: The Level 2 Operating Model
    • Prompting Architecture for Practice and Benefits Tasks
    • The Practice Prompt Library: Ownership, Versions and Retest Triggers
    • Controlled Drafting From a Verified Patient Record
    • Reviewing New-Patient Packets, Referrals and Outside Records Against a Checklist
    • The Adopted Note: Reviewing AI-Captured Documentation Before the Dentist Signs
    • and 8 more

  3. Level 3 · Advanced Operations

    Advanced AI Dental Operations

    40 hours · 14 modules · Open for enrollment

    • From Task to System: The Operations View of Dental Practice AI
    • Mapping a Front-Office, Hygiene, Documentation or Billing Workflow Before Automating It
    • Tiering Practice AI Tasks by Patient Consequence and Reversibility
    • Writing an SOP a Practice Manager and Dentist Lead Can Enforce
    • Building a Retrieval Corpus From Practice Knowledge
    • Retrieval Failure Modes: Superseded Rules, Wrong Year, Wrong Payer and Wrong State
    • and 8 more

  4. Level 4 · Master Certification

    Master AI Dental Practice Certification

    40 hours · 14 modules · Open for enrollment

    • What a Practice Owes: Accountability for AI Across a Dental Practice
    • Writing the Practice AI Governance Programme
    • The AI Decision Record and Surviving Owner and Staff Turnover
    • The Regulatory Map: What Binds the Practice, the Manufacturer, the Developer and the Payer
    • Due Diligence on a Dental AI Supplier
    • Validation Evidence, Published Accuracy and the Practice's Own Acceptance Test
    • and 8 more

  5. Level 5 · Automation Specialist

    AI Dental Operations Specialist

    40 hours · 14 modules · Open for enrollment

    • What an Automation May Do in a Dental Practice: Authority and Its Limits
    • Orchestrating New-Patient Intake, Forms and Benefits Verification
    • Orchestrating Recall, Reactivation and the Fill List
    • The Integration Map and Data Contracts
    • Practice-Management System Integration: Read First, Write With Approval
    • Imaging-System Integration That Stays Read-Only
    • and 8 more

  6. Level 6 · Certified Instructor

    Certified AI Dental Instructor

    40 hours · 14 modules · Open for enrollment

    • Teaching a Dental Team, and Why the Lunch-and-Learn Fails
    • Designing a Session Backwards From the Behaviour at the Chair and the Front Desk
    • Curriculum Accuracy and Keeping Dental Material Current
    • Facilitating a Mixed Room: Dentists, Hygienists, Assistants and Front Office
    • Running a Demonstration That Shows the Tool Failing
    • Designing Hands-On Labs on Fictional Patients, Charts and Images
    • and 8 more

Course outline

Level 1 in detail: what the curriculum covers

Each module connects practical administrative AI capability to patient privacy, minimum-necessary access, licensed review, clinical boundaries, source verification, cybersecurity, auditability, escalation, and accountable decisions.

Module 01

4 lessons

Modern Artificial Intelligence for Dental Teams

What the systems sold to dental practices as "AI" actually are, and why the difference changes how you check them. This module separates rules, machine learning and generative AI, opens up image analysis, speech, retrieval and agents, and maps the tool categories a practice meets against what dentists report using and where the device line falls.

  • Rules, Machine Learning and Generative AI in the Practice 35 min
  • How a Language Model Produces an Answer 40 min
  • Beyond Text: Image Analysis, Speech, Retrieval and Agents 40 min
  • A Field Guide to Dental Practice AI, and Where the Device Line Falls 40 min

Module 02

4 lessons

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

Fluent output is not checked output. This module works through the failures a dental team will actually meet — invented rules and citations, quiet omissions, elaboration of a false detail, stale content, prompt sensitivity and uneven performance — and builds the review habit that catches them, using fictional examples you can check line by line.

  • Confabulation: Invented Rules, Citations and Plan Terms 40 min
  • The Quiet Failures: Omission and Elaboration in Summaries 40 min
  • Uneven Performance, Stale Content and Prompt Sensitivity 40 min
  • Automation Bias and a Review That Actually Catches Errors 40 min

Module 03

4 lessons

Protected Health Information, HIPAA and Where Dental Patient Data Goes

What counts as protected health information in a dental practice, and what happens to it when it enters an AI tool. This module covers the covered entity, treatment, payment and operations, minimum necessary, business associates and their subcontractors, the two de-identification methods, and a decision method for whether patient information may enter a system at all.

  • What Counts as Protected Health Information in a Dental Practice 40 min
  • Minimum Necessary, Applied to What Goes Into the Tool 40 min
  • Business Associates, Vendor Terms and Where the Data Actually Lands 45 min
  • De-identification, and the "Can I Put This In?" Decision 45 min

Module 04

4 lessons

Accountability and the Clinical Line: Who Owns What AI Produces

Who owns an AI-assisted output in a dental practice, and where the line sits between administrative support and the dentist's clinical judgment. This module reads three state supervision schemes side by side, marks the line the front office must not cross, and separates what an association code asks of its members from what state law requires of every licensee.

  • The Duties That Do Not Move When a Tool Helps 40 min
  • Supervision and Delegation: Three State Schemes, Read Side by Side 40 min
  • The Administrative Line: What the Front Office Must Not Cross 35 min
  • Association Codes, State Law, and the Silence on AI 35 min

Module 05

4 lessons

Researching Board Rules, Payer Policies and Guidance With AI, and Checking Their Status

How to use AI to find a rule without letting it become your authority. This module builds a research workflow that ends at the official publisher, works seven dated status checks — proposed, vacated, waived, set aside, repealed and re-enacted, and not yet effective — and shows how to record what was checked, where, and on what date.

  • A Research Workflow That Ends at the Official Source 35 min
  • Proposed, Vacated, Waived: Four Federal Status Checks 45 min
  • Whose Rule Is It? Set Aside, Repealed and Not Yet Effective 40 min
  • Recording What You Checked, and When 35 min

Module 06

4 lessons

Prompt Engineering for Dental Practice Administration

How to write a request that produces checkable administrative output in a dental practice. This module builds an eight-part prompt, shows why supplying the document beats asking the model to recall it, applies minimum necessary to what goes into the box, and works patterns for schedules, recall, letters, forms and staff material.

  • An Eight-Part Prompt for Dental Practice Tasks 40 min
  • Supply the Document, Never Ask the Model to Recall It 40 min
  • Minimum Necessary Inside the Prompt 35 min
  • Iterating, and Patterns for Schedules, Recall, Letters and Forms 40 min

Module 07

4 lessons

AI at the Front Desk: Patient Messages, Scheduling, Recall, Phones and Records Requests

Where AI helps at the front of a dental practice and where it must stop. This module covers drafted patient messages, recall and reactivation, the federal calling and texting rules with their current status, AI voice and chat agents, scheduling pages and website tracking, and records requests under the patient right of access.

  • Drafted Patient Messages, Recall and Reactivation 40 min
  • Calls, Texts and AI Voice Agents, and Their Current Status 45 min
  • Scheduling Pages, Chat Widgets and Website Tracking 40 min
  • Records and Image Requests, and the Right of Access 40 min

Module 08

4 lessons

AI and the Radiograph: What the Evidence Actually Shows

What a cleared dental imaging assist is, what the published trials found in both directions, and why a flagged surface is a reason to look rather than a lesion. Every AI radiograph finding goes to the licensed dentist, who reads the images and owns the finding. This module teaches no diagnosis and no treatment planning.

  • What a Cleared Imaging Assist Is, and What It Is Not 40 min
  • The Caries Trials, Read in Both Directions 45 min
  • Why a Flag Is Not a Lesion: Sensitivity, Predictive Value and the Panoramic Trial 45 min
  • Routing a Flagged Image, and What Gets Reported When It Goes Wrong 40 min

Module 09

4 lessons

Clinical Documentation, Charting Tools and the Record the Dentist Adopts

Charting assists, dictation and note drafting produce a draft, never a record. This module separates the three tools, shows what the thin recorded evidence supports, routes preparation by each state's own delegation rules, and treats chairside audio as protected data from the moment it is captured.

  • What a Charting Assist and a Note Draft Actually Are 40 min
  • Review, Correct, Adopt: When a Draft Becomes the Record 40 min
  • Who May Prepare the Note, and Who Must Finalise It 40 min
  • Chairside Audio: Recording, Retention and the Safeguards Around It 40 min

Module 10

4 lessons

AI in Benefits Verification, Claims and the Dental Revenue Cycle

Where AI genuinely helps across eligibility checks, claim preparation, attachment assembly and denial analysis, and the points at which it must stop. Covers the code set and the dental claim transaction the federal rules adopt, who maintains their content, why copyrighted code descriptors may not be republished, and the record behind every code.

  • Where AI Helps in the Dental Revenue Cycle, and Where It Stops 40 min
  • The Adopted Code Set and the Dental Claim Transaction 40 min
  • The Record Behind the Code and the Narrative 40 min
  • Denials, Appeals and What a Practice Can Ask a Payer For 35 min

Module 11

4 lessons

Building Repeatable Dental Practice AI Workflows

How to turn ad hoc chatbot use into a staged practice workflow with defined inputs, a data classification step, a verification step, a named reviewer and a record. Covers designing so a wrong output cannot become a wrong appointment, letter or claim, and why the review step needs design rather than good intentions.

  • From Ad Hoc Chatbot Use to a Staged Practice Workflow 40 min
  • Designing So a Wrong Output Cannot Become a Wrong Action 40 min
  • Automation Bias at the Review Step, and How to Blunt It 45 min
  • The Workflow Canvas, the Approval Point and the Record Kept 40 min

Module 12

4 lessons

AI Agents and Autonomous Systems in Dental Practice Operations

What changes when a model stops answering and starts acting: tool calling, file and mailbox access, and connections into practice management and portals. Covers risk tiers from read-only to writing to the chart, human control points and stop switches, instructions hidden in documents the practice receives, and what an agent must never be given.

  • What an Agent Is, and What It Can Reach 40 min
  • Agent Risk Tiers, From Read-Only to Writing to the Chart 40 min
  • Instructions Hidden in Documents the Practice Receives 45 min
  • Excessive Agency, Stop Switches and What an Agent Never Gets 40 min

Module 13

4 lessons

Cybersecurity, the HIPAA Security Rule and Vendor Evaluation

The safeguards that are in force today, the risk analysis every regulated entity must perform, and how to read what a dental AI vendor claims about storage, training, retention, deletion and subcontractors. Covers identity, authentication, access and logs, and what the practice must do when an incident happens.

  • The Risk Analysis and the Security Rule Safeguards Now in Force 40 min
  • Reading a Dental AI Vendor's Security and Privacy Claims 40 min
  • Identity, Multifactor Authentication, Access and Logs 35 min
  • Breach Notification, and the Separate Rule That Does Not Apply to the Practice 40 min

Module 14

4 lessons

Dental Practice AI Governance and the Compliance Programme

How to write a practice AI policy when no dental board has published guidance: approved tools, prohibited data, acceptable use, verification, disclosure, supervision, records, incidents and review. Covers what the voluntary dental AI documents actually say, whom they address, and where AI fits in the compliance programme the practice already runs.

  • Why a Dental Practice Needs a Written AI Policy, and What It Must Cover 40 min
  • Approved Tools, Prohibited Data and Acceptable Use 40 min
  • What the Voluntary Dental AI Documents Actually Say, and Whom They Address 40 min
  • Fitting AI Into the Compliance Programme the Practice Already Runs 40 min

Module 15

4 lessons

Practical Dental Practice AI Lab

Four labs on fictional practices and patients: find the planted errors in an AI-drafted recall message and benefits summary; expose a fabricated board rule and an invented citation and rebuild the prompt; check a new-patient packet extraction and design the workflow around it; then test imaging vendor claims, three states' marketing rules and a review reply.

  • Lab: Find the Planted Errors in a Recall Message and a Benefits Summary 45 min
  • Lab: Expose the Fabricated Board Rule and the Invented Citation, Then Rebuild the Prompt 45 min
  • Lab: Review a New-Patient Packet Extraction and Design the Workflow Around It 45 min
  • Lab: Test an Imaging Vendor's Claims, Three States' Marketing Rules and a Review Reply 45 min

Module 16

4 lessons

Capstone: The Dental Practice AI Implementation Plan

Write a sixteen-section implementation plan for one dental practice task: choose a low-risk administrative use, measure a baseline from your own records, settle the data class, vendor status and risk analysis, name the clinical line and the reviewers, then run a bounded pilot with honest arithmetic, stop signals and a review date.

  • Choosing the First Task and Measuring a Baseline From Your Own Records 45 min
  • Data Class, Vendor Status and the Risk Analysis the Plan Feeds 45 min
  • The Clinical Line, Named Reviewers, Supervision and the Records the Plan Keeps 45 min
  • The Bounded Pilot, Honest Arithmetic, Failure Indicators and the Review Date 45 min

Learning outcomes

What you will be able to do

  • Evaluate AI tools for dental-practice administrative use cases, limitations, patient privacy, security, vendor risk, and clinical boundaries.
  • Create reliable prompts and verification procedures for scheduling, communication, recall, documents, staff knowledge, reporting, and approved marketing.
  • Support treatment coordination and revenue-cycle workflows without fabricating diagnoses, treatment plans, radiograph interpretations, CDT guidance, payer rules, or reimbursement outcomes.
  • Design automations with minimum-necessary access, permissions, approvals, exceptions, audit trails, output checks, and human escalation.
  • Plan secure integrations and narrowly scoped agents around approved practice systems, authoritative resources, and responsible owners.
  • Build an AI adoption roadmap with governance, risk controls, workforce training, operational metrics, implementation priorities, and measurable return on investment.

Assessment

Level 1 Final Comprehensive Examination

The final assessment measures how well you apply the curriculum to realistic scheduling, communication, treatment-coordination, documentation, revenue-cycle, quality, marketing, security, technology, governance, and leadership scenarios without crossing into clinical decision-making.

Questions
50
Time limit
90 minutes
Passing score
80%
Maximum attempts
3

Lead responsible AI adoption in dental-practice operations

Start with the vendor-neutral foundations, privacy controls, licensed-review requirements, and administrative workflows covered across the complete Level 1 curriculum.

Enroll in Level 1 Program overview

Independent professional education

MADPC is an independent professional education program focused on administrative, operational, communication, and business uses of AI. It is not a dental license or clinical credential and does not replace the judgment of a dentist, hygienist, assistant, specialist, or other qualified professional, or applicable clinical protocols, legal counsel, privacy or compliance review, payer requirements, or law. The program does not teach diagnosis, independent radiographic interpretation, prescribing, treatment recommendations, clinical protocols, unsupported CDT guidance, or reimbursement rules. 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 dental board, dental association, government agency, regulator, payer, healthcare organization, professional organization, or standards body. No professional education hours or approvals are claimed, and no clinical outcome, case acceptance, reimbursement, compliance, patient-experience, operational, or financial result is guaranteed.