top of page

Data, Science & Technology

The DST portfolio of projects is guided by the healthcare segments with significant burdens of disease. Non-communicable diseases contribute the most to the overall burden of disease, whether measured in DALY (disability-adjusted life year), YLL (years of life lost) and YLD (years lived with disability).



Overall, cardiovascular diseases (CVD) are the highest cause of death, with Singapore lagging behind other countries. MOHT is partnering with NHG, NUHS, SingHealth, HPB and IHiS to run a clinical trial - Acute Myocardial Infarction - Allied Health-Oriented, Patient-centred and digitally Enabled care (AMI-HOPE) - across all three healthcare clusters. AMI-HOPE is a new care model that provides care support through innovative technologies that enable the remote monitoring and treatment of patients following acute myocardial infarctions (AMI). It aims to upskill and guide allied health professionals via well-designed care pathways, which provide tele-titration and health coaching for low-to-intermediate complexity patients following their discharge from hospital and between their scheduled follow-up visits. AMI-HOPE will be leveraging the national vital signs platform, Health Discovery (HD+), for remote monitoring and to deliver education, assure adherence to medication, and nudge patients toward needed lifestyle changes in activity, diet, and smoking.

Mental Health

DST is also pursuing new care models for Mental Health, an under-addressed segment of the healthcare burden. Recently, an exciting set of digital technologies has emerged that allow in situ assessment and intervention strategies via personal digital devices, known as “digital phenotyping” and “digital therapeutics”, respectively, for various mental health disorders.


The Health Outcomes through Positive Engagement and Self-Empowerment (HOPES) platform, developed by DST and the Institute of Mental Health (IMH), enables digital phenotyping from wearable devices and smartphones. The platform was initially deployed in November 2019 and sees ongoing use in the HOPE-S Phase A (Health Outcomes via Positive Engagement in Schizophrenia / Phase A) clinical trial for the management of patients with Schizophrenia. Along with IMH collaborators, DST has defined the subsequent interventional phase of the trial, HOPE-S Phase B, to expand to a much broader range of diagnosed mental health disorders. The interventions will be driven by passively collected digital biomarkers, survey data about the patient’s mental state actively collected through the HOPES smartphone App (known as an ecological momentary assessment), and clinician insights.


Together, these data streams will drive automated therapeutic interventions (known as ecological momentary interventions), as well as machine learning-based anomaly detection routines underlying a case manager job-stack segmenting patients for timely intervention.


DST also supports a number of projects within MOHT through Data Science and AI and through Architecture and Development Methodology.


In Data Science and AI, the team has been working with various teams to develop the following improved care models.

  1. A data-driven risk adjustment model based on financial costs that guides resource planning and identifies inefficiencies in the healthcare system;

  2. A personalized patient-coaching module for the patients in tele-monitoring programmes, which aims to drive lifestyle change and medication compliance, thereby improving health outcomes;

  3. The anomaly detection engines in HOPE-S, which segments patients and triggers automated therapeutic interventions;

  4. A patient counselling tool based on a deep learning clinical risk profiler, which is being trialed at the National Heart Centre­­ Singapore (NHCS);

  5. A partnership with HPB that aims to understand the relationship between lifestyle and disease progression, in order to identify targeted interventions in the community.


In Architecture and Development Methodology, DST has been supporting the overall MOHT goal on healthcare transformation by data-driven innovation, an agile development model and architecture for full solution development. DST practises an agile approach based on the use of hybrid cloud and data anonymisation methodology and by exploring new collaboration models with our technology partners in multiple projects including AMI-HOPE,, and others. We have achieved rapid and independent data-centric healthcare innovation while keeping strict compliance with HealthTech data security & privacy policies. DST is also working closely with the Integrated Health Promotion programme on the project as the tech provider, providing data tracking capabilities and data analytics platforms, which have proven to be invaluable for our digital marketing and partnership building endeavours.


  • Ministry of Health

  • National Healthcare Group, National Healthcare Group Polyclinics

  • National University Health System, National University Polyclinics

  • SingHealth, SingHealth Polyclinics

  • Agency For Integrated Care

  • Health Promotion Board

  • Integrated Health Information Systems


Current Initiatives:

Professor Robert Morris

Chief Technology Strategist

Recent Blog posts
bottom of page