Using Artificial Intelligence in Patient Care-Some Considerations for Doctors and Medical Regulators.
Kanny OoiPublished in: Asian bioethics review (2024)
This paper discusses the key role medical regulators have in setting standards for doctors who use artificial intelligence (AI) in patient care. Given their mandate to protect public health and safety, it is incumbent on regulators to guide the profession on emerging and vexed areas of practice such as AI. However, formulating effective and robust guidance in a novel field is challenging particularly as regulators are navigating unfamiliar territory. As such, regulators themselves will need to understand what AI is and to grapple with its ethical and practical challenges when doctors use AI in their care of patients. This paper will also argue that effective regulation of AI extends beyond devising guidance for the profession. It includes keeping abreast of developments in AI-based technology and considering the implications for regulation and the practice of medicine. On that note, medical regulators should encourage the profession to evaluate how AI may exacerbate existing issues in medicine and create unintended consequences so that doctors (and patients) are realistic about AI's potential and pitfalls when it is used in health care delivery.
Keyphrases
- artificial intelligence
- healthcare
- machine learning
- big data
- deep learning
- end stage renal disease
- public health
- transcription factor
- newly diagnosed
- ejection fraction
- chronic kidney disease
- primary care
- prognostic factors
- medical students
- peritoneal dialysis
- palliative care
- risk assessment
- quality improvement
- patient reported outcomes
- human health