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The HEARTS Grants are aimed at clinicians who collaborate with a Duke NUS academic for a research project that will lead to improved performance in health services.

Funding is $65,000 for a 2-year project, plus you get access to the resources of SingHealth Health Services Research Centre (HSRC): data science, health economics and implementation science. There will be access to ‘Research Information Systems and Data Analytics Core’ at HSRC and manpower support to help you use existing data sets.

There are four criteria for funding:

1) The research will potentially demonstrate how improvements to the performance of health services can be achieved. Some examples of improved performance are:

• Improved patient outcomes
• Improved use of resources
• Improved access to services

2) The idea is relatively simple and has a clear path to impact.

3) The number of patients who might benefit is reasonably large.

4) Collaboration with a Duke NUS faculty member who will be named on the application, their role is to provide support for methods and dissemination.

We will prefer applications that harvest existing data sets, rather than exclusively collect new data. We are biased towards applicants with ‘good ideas’ with ‘potential large impact’ rather than a strong research track record. Emerging researchers are encouraged to apply and demonstrate how they will learn new HSR skills in their application.

Questions related about possible projects should be directed to Prof Nicholas Graves at


Awarded Hearts Grants FY22

1) Tools to Improve Psychological Symptoms for patients with Dry Eye Disease (TIPS-DED) in primary care.
PI: Dr Leong Yuan Yuh, SERI

2) Machine-learning Prediction for Intensive Care Unit Admission among Patients with Sepsis and Infections.
PI: Dr Goh Qing Yuan, SGH

3) Development of a mobile application for a rapid combination testing service against carbapenem-resistant Gram negative bacteria.
PI: Ms Jocelyn Teo, SGH

4) Development and Pilot Implementation of the AI-based resource optimization algorithm for Bed Allocation and Nursing manpower planning (AI-BARON) algorithm for the Decision Support for Crisis Emergency Resource – Nursing (DiSCERN) application
PI: Mr Alwin Ang, SingHealth

Awarded Hearts Grants FY21

1) Redesigning pre-surgery patient journeys with telehealth.
PI: Dr Eileen Lew, KKH

2) A theory-driven approach to embed and integrate a post-stroke upper extremity outcome measure in routine clinical practice.
PI: Dr Silvana Choo Xinyi, SGH

3) Evaluation of Telehealth in Orthopaedic Surgery (ETHOS) Study- a Prospective 1 Year Follow Up Study.
PI: Dr Tay Kae Sian, SGH

Awarded Hearts Grants FY20

1) Patterns and Predictors of acute healthcare utilization in cancer patients on home hospice care: a retrospective longitudinal mixed-methods study.
PI: Dr Zhuang Qingyuan, NCCS

2) Costs and health outcomes from managing high-risk patients with coronary artery disease with different interventions.
PI: Dr Huang Weiting, NHCS

3) Task Shifting intravitreal Injection from Ophthalmologists to Nurses: A Prospective Randomized Non-Inferiority Trial
PI: Dr Ian Yeo Yew San, SERI

4) Evaluation and understanding the use of evidence-based medical therapy in chronic limb-threatening ischemia patients undergoing lower limb angioplasty
PI: Dr Chan Sze Ling, HSRC