Senior ConsultantDivision of Thyroid and Endocrine Surgery, National University Hospital
Group Chief Technology OfficerNational University Health Systems
Deputy Chief Medical Information OfficerNational University Health Systems
A/Prof Ngiam Kee Yuan is the Group Chief Technology Officer at the National University Health System (NUHS) Singapore overseeing technology deployment in the Western Healthcare Cluster of Singapore. In his role he assists the Chief Executive to implement new technologies throughout NUHS and serves as the Chief Advisor to the Centre for Innovation in Healthcare in NUHS.
A/Prof Ngiam is concurrently the Deputy Chief Medical Information Officer at the NUHS with a special focus on Artificial Intelligence research and information technology implementation in healthcare.
In his capacity as Associate Professor, Department of Surgery, Yong Loo Lin School of Medicine NUS, A/Prof Ngiam engages in research into endocrine and metabolic surgery as well as artificial intelligence applications in healthcare.
A/Prof Ngiam promotes interdisciplinary collaboration throughout the National University of Singapore campus, particularly between the schools of medicine, engineering and computer science for various healthcare applications. He was awarded the ExxonMobil-NUS Research Fellowship for Clinicians in 2007 and numerous teaching awards for his work in research and education.
AI-assisted Decision-making in Research: Ethical Considerations
As the use of AI becomes increasingly ubiquitous in healthcare, how do doctors know if the AI tools they use are indeed accurate and unbiased? What is the level of clinical evidence and regulatory compliance that is necessary for it to be used in routine clinical practice? Similar concerns would be shared by patients who consult doctors using AI tools as part of patient care. How do these AI tools affect a doctor’s decision-making process? Would these AI based decisions carry the same legal and ethical obligations of provisioning routine medical advice? To realize the benefits of AI at the health system level, these considerations must be incorporated into the training of a new generation of medical practitioners skilled in using these tools for the patients’ benefit. Equal emphasis must be placed in supporting the development of beneficial AI tools without stifling its progress with uninformed or overly restrictive regulations.
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