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A one-stop shop for innovators who are looking to receive guidance on their innovation projects and a coordinating centre for innovation resources across the cluster.
Find out more about how we can help you partner with SMEs or SingHealth Innovators.
Support innovation for testing feasibility & test-bedding in clinical practice and bridge the gaps for adoption & implementation across clusters. (Intranet access only)
Kick-start and translate your early stage innovation (Intranet access only)
Please access the relevant forms/templates here
IAU is a health services research unit that focuses on evaluating the impact of healthcare innovations.
Find out more about the existing collaborations we have with our partners.
The DHA program aims to bring together the various stakeholders in the healthcare system to enable the development, integration and implementation of the digital health solutions in care delivery organisations. (Intranet access only)
The SingHealth-A*STAR HTP Grant aims to accelerate the translation, deployment and commercialisation of joint healthcare research and innovation projects to generate healthcare impact, improve population health and create economic value. (Intranet access only)
A static simple grant calendar to showcase all research and innovation grants for the year.
Have an idea? Get advice from a diverse panel of subject matter experts.
The SingHealth AI Office (AIO) supports clinical and non-clinical AI projects through the 4 pillars, providing guidance, technical AI solutions, commercial engagement and supporting of AI regulatory & governance.
Do you require funding for your innovation? Find out more! (Intranet access only)
Support programmes that are backed by a sustained track record of collaboration in innovation and/or research between the two organizations, and programmes with potential translation and commercialisation of joint projects (Intranet access only)
A signature biennial event of the SingHealth Duke-NUS Academic Medicine Centre. This congress provides a unique platform for thought leaders, healthcare professionals, researchers and educators to convene, ignite ideas and share insights on the latest innovations in academic medicine.
Learn more about innovation events across the AMC.
Partner, Learn, Support
An Enterprise Singapore funded programme for co-development and test-bedding of impactful healthcare innovations.
Find out more on our partnership criteria and how to reach us here.
Are you a SME looking for access to Healthcare expertise and assets or domain knowledge and networks? Find out more here on the programmes that we have with SMEs.
Find out more about the type of MOUs and partnership agreements which we have signed with our existing partners.
Explore collaboration opportunities with our healthcare professionals. Find our more how you can do so at A.L.I.C.E Lee Innovation Centre.
Impact Assessment Unit(IAU)
Who We Are
The Impact Assessment Unit (IAU) is a health services research unit established in 2021. Our unit evaluates healthcare innovations to provide information on the potential value of these innovations. We are part of the SingHealth Duke-NUS Academic Medicine Innovation institute (AMII) and comprise of a hybrid team of administrators and researchers from SingHealth and the Duke-NUS Medical School.
What We DoOverview
The IAU strengthens decision-making on funding, support, and adoption and scaling of healthcare innovations in our Academic Medical Centre (AMC) and beyond through the following:
- Provide guidance and expertise in health services research, with focus on the evaluation of the impact of healthcare innovations.
- Perform assessments of innovation projects for grant panels to strengthen decision-making.
- Conduct health technology assessments such as cost-effectiveness analyses to generate evidence on the value of health innovations.
Impact Assessment FrameworkIAU's impact assessment framework consists of two parts:
- Function 1 – Triaging of healthcare innovation proposals
- Function 2 – Evaluation of healthcare innovations
Function 1 – Triaging of healthcare innovation proposals
Aims to identify high potential innovation projects for further support
IAU has developed a decision support tool, aligned with our institutional priorities, to systematically identify healthcare innovation proposals that are more likely to lead to impactful implementation and sustainable adoption. This tool is currently used to perform assessments on the potential impact of healthcare innovation proposals. Based on our assessments, we provide inputs to grant panels and project teams.
Please refer to the publication below for details on our decision support tool.
Cai, Y., Nazeha, N., Perera, S., Thiéry, A. H., Girard, M., Lee, C. E., Hong, W., & Graves, N. (2023). A decision-support tool for funding health innovations at a tertiary academic medical center. International Journal of Technology Assessment in Health Care, 39(1). https://doi.org/10.1017/S0266462323000028
Function 2 – Evaluation of healthcare innovations
Generating and disseminating evidence about potential value of innovations
We identify projects suitable for impact assessment and collaborate with project teams to generate evidence of the expected costs and outcomes (e.g., changes to health-related quality of life) from the adoption and scaling of a healthcare innovation. This helps to inform the project teams and the AMC on the probability that adopting an innovation will be a "good" decision.
We carry out four sequential tasks for Function 2:
- Identify the elements of the innovation via the "PICO" mnemonic.
- Design a method for the quantitative assessment of costs and outcomes.
- Conduct data synthesis to update the model with best available information.
- Perform model evaluation and publish findings in peer reviewed literature.
Please refer to the publications below for examples of our Function 2 work.
- Cai, Y., Philips, E. C., Arora, S., Sim, J. X. Y., Chow, W., Nazeha, N., Whiteley, S., Auw, M. Y. X., Tiang, D. C., Neo, S. L., Hong, W., Venkatachalam, I., & Graves, N. (2024). Cost-effectiveness of a real-time spatiotemporal mapping surveillance system for meticillin-resistant Staphylococcus aureus prevention. The Journal of Hospital Infection, 143, 178–185. https://doi.org/10.1016/j.jhin.2023.09.010.
- Cai, Y., Chang, K., Nazeha, N., Gosavi, T. D., Shen, J. Y., Hong, W., Tan, Y., & Graves, N. (2023). The cost-effectiveness of a real-time seizure detection application for people with epilepsy. Epilepsy & Behavior, 148, 109441. https://doi.org/10.1016/j.yebeh.2023.109441
Contact UsPlease contact Ms Elaine Tai (elaine.tai@singhealth.com.sg) for enquiries.
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