Dr Amanda Lam Yun Rui

Dr Amanda Lam is a Senior Consultant Endocrinologist at Singapore General Hospital. She graduated from Yong Loo Lin School of Medicine, National University of Singapore and completed her specialist training in Endocrinology and Diabetes at SingHealth. Dr Lam holds a Master of Management in Clinical Informatics (MMCi) degree from Duke University, and currently serves as the Clinical Director of the Department of Data Science in Singapore General Hospital and is the Co-Lead for Digitalization and Data for the SingHealth Duke-NUS Diabetes Centre. Dr Lam has been involved in digital initiatives to improve the delivery of care, including Note Buddy, an ambient AI documentation solution, app development for diabetes care, and the integration of machine learning models for clinical care and hospital operations.

• Master of Management in Clinical Informatics, MMCi, Duke University
• FRCP (Edinburgh)
• MRCP (UK)
• M.Med (Internal Medicine), NUS Yong Loo Lin School of Medicine
• MBBS, NUS Yong Loo Lin School of Medicine

• Clinical Director, Department of Data Science, Singapore General Hospital
• Co-Lead for Digitalization and Data, SingHealth Duke-NUS Diabetes Centre
• Co-Programme Director, Associate Consultant Readiness Program, SingHealth
• Innovation Mentor, Medicine Academic Clinical Programme, SingHealth

• Service with a Heart Award, Singapore General Hospital, 2025
• Service with a Heart Award, Singapore General Hospital, 2019
• Outstanding Faculty Award (Internal Medicine), RiSE Awards, SingHealth, 2019
• Special Recognition Award, Dean’s Appreciation for Clinical Teachers, YLLSOM, 2019
• SingHealth Best Junior Doctors Award, 2013
• Wong Poi Kwong Medal, Outstanding Student in Clinical Medicine, MBBS, 2009
• Singapore Medical Association Bronze Medal, 2009

• Diabetes complications
• Digital health in diabetes

• Video consultation to overcome barriers during COVID-19; AYR Lam, ECL Chan, CMX Quek, Y Peng, SK Yeo, RF Chang, X Xin, SY Goh; ANNALS Academy of Medicine Singapore 2021;50:77-83.
• Recurrent Temporal Point Process Network for First and Repeated Clinical Events; MM Chan, AYR Lam, D Carmody, MEH Ong, Y Zou, W Hsu, ML Lee; 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI), Washington, DC, USA, 2021, pp. 153-160.
• Psychometric Validation of the Hypoglycemia Fear Survey-II (HFS-II) In Singapore; AYR Lam, XH Xin, WB Tan, Gardner DS, SY Goh; BMJ Open Diabetes Research and Care 2017;5:e000329.