JARVISDHL: Transforming Chronic Care for Diabetes, Hypertension and HyperLipidemia (DHL) with AI

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(Left to right) Dr Janil Puthucheary, Prof Tan Ngiap Chuan, Prof Lee Mong Li, Prof Ng See Kiong, Prof Wynne Hsu, Prof Marcus Ong Eng Hock, Prof Wong Tien-yi

The team will develop an AI system called JARVISDHL to gather local healthcare data in order to create AI algorithms and models. This will facilitate practice of evidence-based personalised care and shared-decision making by primary care physicians. 

The project aims to integrate multiple solutions into a consolidated AI platform which can be used to improve the 3H care delivery process.

Principal Investigators & Collaborators

Lead Principal Investigator: Prof Wynne Hsu (NUS)

Co-Principal Investigators:

Professor Ng See-Kiong (NUS)

Professor Lee Mong Li (NUS)

Associate Professor Chee Yong Chan (NUS)

Professor Wong Tien-Yin (SingHealth)

Professor Marcus Ong Eng Hock (SingHealth)

Associate Professor Tan Ngiap Chuan (SingHealth)

Dr Teh Ming Ming (SingHealth)

Adjunct Associate Professor Yeo Khung Keong (SingHealth)

Host Institution: National University of Singapore (NUS)

Partner Institution(s): SingHealth Group (SingHealth)

Benefits to Primary Care Team

Predictive Care for 3H Patients

Evidence-based Personalised Care

Right Site-care of Patients

Enable predictive care for 3H patients through early screening and risk stratification.

Facilitate practice of evidence-based personalised care and shared-decision making by primary care physicians.

Physicians will get to the right site-care of patients rather than the usual reactive event-driven sequential referral model, thus spending spend less physical time in healthcare institutions, optimizing healthcare utilization. For example, JARVIS will recommend evidence-based treatment options, quantify personalized treatment benefits and risk of complications, adapt treatment regimen based on lifestyle, alleviate anxiety over perceived side effects, and support holistic clinical decision-making.

Benefits to End-users

Patients are empowered to take ownership of their healthcare journey beyond the clinical visits through the use of technologies for patient education and self-care.