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Exam Preparation

AIMA
AI+ Medical Assistant
AI for Clinical & Administrative Support

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Course Overview

AI+ Medical Assistant: AI for Clinical & Administrative Support is a five-day programme with content aligned to the AI CERTs AI+ Medical Assistant™ certification blueprint, designed for medical assistants, clinical support and patient coordination staff, front-desk teams, and allied health professionals. 

Over five days, it builds capability across AI Foundations for Medical Assistants; AI

Fatma Z.
Instructional Design Specialist

Key Takeaways

1
→ Apply AI fundamentals to the medical assistant role.
2
→ Use AI scribes and tools to document and navigate the EHR efficiently.
3
→ Streamline patient intake, scheduling, and communication with AI.
4
→ Support clinical workflows and the care team using AI assistance.
5
→ Apply AI safely with verification, ethics, and patient-privacy safeguards.

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The Tipping Point

In today’s rapidly evolving world, AI and Blockchain technologies are transforming industries, but the skills gap is widening. Millions struggle to find accessible, real-world certification programs that truly prepare them for the future of work. The challenge is clear: How do we upskill global talent with relevant, practical knowledge that keeps pace with innovation? At AI CERTs®, we saw this urgent need and decided to act.

The Spark: Why AI CERTs® Was Born

We believe talent is everywhere, but opportunity is not. Our founders witnessed a common barrier: future-ready education in AI and Blockchain was often locked behind complicated, expensive, or outdated courses. That’s why AI CERTs® was created to offer role-based trusted artificial intelligence certificate programs and blockchain certifications that are accessible to every learner, no matter if they have a tech background or not.

Course Outline

Day 1
AI Foundations for Medical Assistants

→ AI and machine learning in plain language
→ How AI is changing the modern clinic
→ Healthcare data and the electronic health
record (EHR)
→ No-code AI tools the support team can use today
→ Data privacy and confidentiality essentials
→ The AI-augmented medical assistant: roles and boundaries
→ Hands-On Lab: Participants explore AI
Assistant tools and maps where AI can help across a clinic day.

Day 2
AI for Clinical Documentation & EHR

→ Ambient AI scribes and speech-to-text documentation
→ Automating and drafting clinical notes
→ Navigating and querying the EHR with AI
→ AI support for coding and documentation accuracy
→ Summarising patient histories and information
→ Verifying AI output and avoiding errors
→ Hands-On Lab: Participants use an AI scribe/ summarisation tool to draft and then verify a clinical note.

Day 3
Patient Intake, Scheduling & Communication

→ AI-assisted patient intake and history capture
→ Symptom checkers and triage decision support
→ Intelligent scheduling, reminders, and no-show reduction
→ AI chatbots and automated patient communication
→ Multilingual and accessibility-supporting tools
→ Managing patient queries efficiently and empathetically
→ Hands-On Lab: Participants design an AI-assisted intake and scheduling flow for a busy clinic.

Day 4
Clinical Support & Workflow Automation

→ Basics of AI clinical decision support
→ Vitals capture, monitoring, and intelligent alerts
→ Laboratory and results management with AI
→ Administrative automation and RPA for support staff
→ Task and workflow optimisation
→ Supporting clinicians and the wider care team
→ Hands-On Lab: Participants automate a repetitive support workflow and measure the time saved.

Day 5
Safety, Ethics & Implementation

→ Patient safety and verifying AI-generated outputs
→ Ethics, bias, and the limits of AI
→ HIPAA, data privacy, and patient consent
→ Human-in-the-loop practice and accountability
→ Adopting AI tools confidently in the clinic
→ Building future-ready skills as a medical assistant
→ Hands-On Lab: Participants build a safe-use checklist and adoption plan for AI tools in their clinic.

Wrap-up
Capstone, Assessment & Certification

→ Capstone project: applying the full five-day toolkit to a realistic AI for medical assistants and clinical support scenario
→ Structured peer and facilitator review of each capstone deliverable
→ Post-programme competency assessment against the learning outcomes
→ Personal action plan for applying the learning in the workplace
→ Programme wrap-up, key takeaways, and
continued-development guidance
→ Capstone Presentation: Participants present their AI-Enabled Clinic Workflow Capstone and receive structured feedback before certification.

Who Should Attend?

→ Medical Assistants & Clinical Support Technicians

→ Healthcare Receptionists & Patient Coordinators

→ Medical Records & Health Information Officers

→ Outpatient & Clinic Administrative Staff

→ Radiology & Laboratory Support Technicians

→ Surgical & Theatre Support Assistants

→ Pharmacy Technicians & Dispensary Support Staff

→ Telemedicine & Remote Care Coordinators GP Practice & Primary Care Administrative Teams

→ Any clinical or administrative support professional seeking AI CERTs certification in AI-assisted patient intake, records management, and clinical workflow optimisation

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