Health AI CPD

by Health AI CPD — CPD-Certified AI Courses for Healthcare Professionals
Family Medicine Hospital Medicine Internal Medicine
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Freemium
Regulatory Status Disclosed

Overview

Health AI CPD offers accredited AI courses designed for busy health professionals to understand, apply, and lead with AI in clinical and non-clinical settings. The platform provides practical AI insights and tools that can be immediately applied in healthcare work. Courses are built for healthcare and designed for flexible schedules, allowing professionals to earn CPD hours while developing in-demand skills. Michelle Guillemard, the founder, is passionate about helping health professionals thrive in the rapidly changing AI landscape. Health AI CPD aims to help professionals become comfortable with AI, sharpen communication skills, and gain confidence and expertise for a digital future in healthcare.

Reviewed by Pouyan Golshani, MD — Interventional Radiologist

Key Features

  • CPD-certified AI courses
  • Courses for clinical and non-clinical settings
  • Flexible, self-paced learning
  • Focus on responsible and ethical AI use
  • Practical AI insights and tools
  • Free introductory courses available
  • Expert-led instruction
  • Covers AI applications in communication and career development
  • Accredited by The CPD Certification Service

Use Cases

  • Understanding AI's role in healthcare
  • Applying AI tools to improve communication and patient care
  • Building confidence using AI in clinical and non-clinical settings
  • Staying compliant and responsible using AI in everyday healthcare tasks
  • Learning essential ChatGPT skills for healthcare settings
  • Enhancing professional development and career growth in healthcare AI

What Physicians Need to Know

CME Credit Availability
Health AI CPD offers CPD-certified courses, allowing healthcare professionals to earn recognized CPD hours. A certificate of completion with hours listed is available for an additional fee.
Case-Based Learning
The courses focus on practical application with hands-on exercises and real-world examples, which can include case studies to illustrate AI's impact in healthcare. The broader field of AI in medical education is increasingly utilizing generative AI for case-based learning, creating realistic scenarios and supporting clinical reasoning.
Simulation Features
While Health AI CPD's core offerings are courses, the broader landscape of AI in healthcare CPD heavily features virtual simulations and AI-powered virtual patients for practicing clinical skills and communication. These simulations can provide real-time feedback and adapt to learner performance.
Knowledge Assessment
Courses include clear learning objectives, practical exercises, and comprehensive documentation for a CPD portfolio. Online courses often incorporate quizzes and interactive activities for knowledge assessment. AI tools can also provide real-time feedback and assessment during simulations.
Evidence-Based Content Updates
Health AI CPD emphasizes high-quality, evidence-based content to help professionals integrate AI safely, ethically, and effectively into practice. The courses are regularly updated to keep pace with the rapidly changing AI landscape in healthcare.
Peer Learning Features
The platform encourages a community of healthcare professionals to build future-ready AI skills. Peer conversations can be valuable for highlighting safe starting points and discussing ethical AI use and prompting strategies.
Progress Tracking
Courses provide detailed documentation of learning objectives, hours, and outcomes suitable for a CPD portfolio. AI-powered tools in healthcare education can also track competency development and provide detailed analytics on student performance.
Physician Tip

Start with low-risk, non-clinical tasks to build confidence with AI tools, such as drafting patient handouts or summarizing research. Always critically review AI-generated content for accuracy, clarity, and alignment with current evidence and local context. Engage with colleagues to share experiences and best practices in using AI ethically and effectively in practice.

While specific integrations for Health AI CPD are not detailed, generally, AI tools in healthcare education are moving towards seamless integration with existing systems like Electronic Health Records (EHRs) and learning management systems to improve efficiency and workflow.

Details

Category Medical Education & Training
Pricing Freemium — Several free CPD courses available; paid options for full certification or additional courses.
DeploymentCloud-based
Compliance
BAA AvailableUnknown AI-estimated
HIPAA CompliantUnknown AI-estimated
FDA Status Not applicable AI-estimated
Integrations
EHR Not specified
Specialties Family Medicine, Hospital Medicine, Internal Medicine

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Videos

Product demos, reviews, and walkthroughs for Health AI CPD.

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Frequently Asked Questions

Health AI CPD modules offer structured learning on AI's application in medicine, providing verifiable hours and content relevant to your practice. These modules often cover topics like AI diagnostics, treatment planning, and data interpretation, which are increasingly vital for modern medical practice. They can help fulfill your CPD obligations by offering up-to-date knowledge in a rapidly evolving field.
Health AI CPD modules typically cover the ethical and regulatory compliance aspects of AI in healthcare, including data privacy (e.g., GDPR, HIPAA), patient consent, and accountability for AI-driven decisions. Understanding these compliance issues through CPD is crucial for mitigating risks and ensuring responsible AI integration into your practice. The modules aim to equip you with the knowledge to navigate these complex legal and ethical landscapes.
While Health AI CPD offers structured and often accredited learning, alternatives include medical journals, conferences, workshops, and online courses from universities or professional bodies. These alternatives can provide valuable insights, but CPD modules are often specifically designed to meet professional development requirements and may offer a more curated learning path with direct applicability to clinical practice. The key difference often lies in the formal accreditation and direct relevance to CPD credit accumulation.
Pricing for Health AI CPD modules can vary significantly, ranging from subscription-based models for comprehensive platforms to per-module fees. Some professional organizations or academic institutions may offer free introductory modules or webinars, but accredited and in-depth content usually comes with a cost. It's advisable to compare different providers and check if your professional body offers any subsidized or free resources.
Health AI CPD modules will likely address the current limitations of AI, such as its reliance on high-quality data, potential for bias in algorithms, challenges in interpreting complex AI outputs, and the need for human oversight in decision-making. They will emphasize that AI is a tool to augment, not replace, clinical judgment. Understanding these limitations is crucial for realistic expectations and safe integration of AI into your practice.
To ensure quality and accreditation, look for Health AI CPD programs endorsed by reputable medical colleges, professional organizations, or recognized accrediting bodies in your region. Check for clear learning objectives, qualified instructors, and evidence-based content. Reviews from other physicians and transparent accreditation statements are also good indicators of a program's credibility and value.
The balance between practical and theoretical content in Health AI CPD modules can vary. Many programs aim to offer a blend, incorporating case studies, simulations, and interactive exercises to provide practical application of theoretical knowledge. However, purely hands-on experience with live AI systems in a clinical setting might be limited and would likely require more specialized workshops or training beyond typical CPD modules. It's important to review the module's outline to understand its practical components.

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Suggest an Edit → | Last Verified: 2026-07-01 | First Added: 2026-07-01
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