HPCSA Booklet 20: Ethical Guidelines on the Use of AI

Course Overview

2026 Content

3 ETHICS CEUs.

Purchase access to the questionnaire on this open access journal article. You will be required to read the article and answer multiple choice questions related to the article (you must get 70% and above to qualify for the 3 CEUs).  

Objectives of this course:

On completion of this CPD activity, the participant will be able to:
  • Define technical terms commonly used in conjunction with artificial intelligence (AI).
  • Describe the core ethical principles governing AI use in healthcare, including disclosure, accountability, transparency, and safety and quality of care.
  • Identify the legal and regulatory requirements related to AI use in South Africa.
  • Describe the opportunities that AI presents for healthcare service delivery.
  • Identify potential risks and challenges associated with AI in healthcare and apply strategies to minimise harm.
Early Bird Discount: R200 until 15 February 2026
* You have until 31st December 2026 to complete this task.
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Original price was: R250.00.Current price is: R200.00.

Description

Citation:

Booklet 20: Ethical guidelines on the use of artificial intelligence. Guidelines for Good Practice in the Health Professions. (2025). Health Professions Council of South Africa.

 

Summary of the article

Artificial intelligence (AI) has rapidly become part of everyday life, influencing how we communicate, work, and access services. In healthcare, its use is expanding just as quickly – from clinical decision support and diagnostics to administration, documentation, and patient engagement. While the HPCSA recognises AI’s potential, it also highlights the ethical, legal, and professional risks associated with its use, including bias, data privacy concerns, and over-reliance on automated systems. Therefore, these ethical guidelines on the use of AI provide essential guidance for healthcare professionals on responsible use in clinical practice. They support practitioners in using AI in a way that minimises data-related harm, promotes equitable and safe patient care, and protects professional accountability.

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