Prof. Ngiap Chuan TAN
Director, Research, SingHealth Polyclinics
Clinical A/P (Dr) Tan is a practicing family physician, senior consultant, director in Research Department in SingHealth Polyclinics (SHP), chairperson of Primary Care Research Institute in Singapore, clinical associate professor in Duke NUS Medical School, Singapore.
A/P Tan has a strong passion in primary care research focusing on preventive health, innovation, and new care model evaluation. He is the principal investigator and recipient of the SHP Centre Grant awarded by the Singapore National Medical Research Council. He also receives the Healthy Longevity Catalyst Award from the National Academy of Medicine, USA to develop and validate a virtual reality tool to screen for cognitive health. He leads key projects such as AI-enabled consultation module to optimize care of people with type-2 diabetes mellitus. He also coaches medical students, Family Medicine Fellowship trainees and multidisciplinary healthcare professionals in primary care research.
A/P Tan is recognized as one of the world’s top 2% of most cited scientists by Stanford University and Elsevier in 2023. He receives the Master Academic Clinician Award 2022 (Duke NUS Medical School); Distinguished Senior Clinician Award 2023 (Ministry of Health, Singapore); the Rajakumar Award (2023) at the 9th Asia Pacific Primary Care Research Conference (KL, Malaysia).
Presentation Title
Transforming Healthcare through Technology Convergence: Used Cases from an Academic Primary Healthcare Provider in Singapore
Abstract
The talk introduces the research and innovation programme in SingHealth Polyclinics, a network of ten public primary care clinics in eastern Singapore. The institution receives the Research, Innovation and Enterprise 2025 Center Grant from the National Medical Research Council to focus on preventive health research.
Singapore wages a war against diabetes. Individuals with poor diabetic control are at risks of complications such as stroke, heart attack and kidney failure. Their risk perception influences their health seeking behavior. PERDICT.AI is an AI-enabled tool has been developed and currently being evaluated to modify patients' risk perception and to take appropriate actions to attain diabetic control. It comprises patient similarity analytics, medication recommendation module and individualized health plan to support patient's diabetic care.
Family doctors in SHP also collaborate with a medtech company to develop CAVIRE, a virtual reality software which has been validated to assess all six domains of cognition. Both PERDICT.AI and CAVIRE will be presented as used cases to illustrate the technological convergence to transform primary healthcare.