GRADUATE CERTIFICATE PROGRAMME IN HEALTH SERVICES INNOVATION (GCP-HSI)
Empowering Healthcare Leaders for Research and Transformation
Course Overview:
The healthcare industry requires professionals with the skills and confidence to lead research and innovation. Clinical staff and service managers constantly face enduring challenges, such as population growth, aging, and the rising prevalence of chronic diseases. These challenges incur substantial costs within the existing service configurations, necessitating the reduction of waste and inefficiency.
Innovation plays a pivotal role in improving the performance of health services. However, effectively implementing solutions requires specialized knowledge and the ability to collaborate with established Health Services Research groups.
To address these needs, the Ministry of Education approved the Graduate Certificate Programme in Health Services Innovation in February 2020. The Health Services Innovation program is the first graduate certification programme in Singapore that aims to build capacity for innovation, foster relationships with researchers, and promote high value health services.
Our full capacity is reached, and we appreciate all the applicants. Registration for this course is now closed.
- Stay ahead of industry trends with cutting-edge knowledge about value based health services.
- Bridge the gap between research and real-world implementation.
- Expand your network with high performing Health Services Research groups.
- Acquire comprehensive knowledge and skills in areas such as implementation science, research design, cost-effectiveness analysis, data analysis and decision-making.
- Drive innovation and efficiency to create sustainable changes in healthcare delivery.
- Gain access to the prestigious network of Duke-NUS Alumni for valuable networking opportunities.
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“I have always been motivated to bring proven research results into the clinic.
This journey had not been easy, but was made easier by the Duke-NUS graduate certificate course.”
- Dr Kwek Jia Liang, Senior Consultant, Renal Medicine, SGH
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“After the grad cert I submitted an ACPresearch grant utilizing implementation science methods”
“This course is essential for any healthcare professional seeking to make an impact on health outcomes for our patients” - Shamala Thilarajah, Senior Principal Physiotherapist, SGH
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“When I completed my Masters of Clinical Investigation in 2019, I felt that there were still gaps in learning about health services research.
The grad cert was able to address most of these gaps” - Elaine Chew, Senior Consultant, KK Women's and Children's Hospital
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The Graduate Certificate Programme offers four courses:
Course 1: Implementation Science (4 units)
This course will introduce health care professionals to the principles of translating evidence for better services into a clinical setting. Participants will learn processes and factors associated with successful integration of evidence-based interventions within a particular setting, assess whether the core components of the original intervention were faithfully transported to the real-world setting and gain new knowledge about the adaptation of the implemented intervention to the local context.
On successful completion of this course, students will be able to:
- Design interventions based on community, patient, clinician and organizational inputs to translate findings into clinical practice, policy and public health
- Design evaluations of interventions that translate evidence into practice
- Develop better proposals
- Develop a design for a research implementation and/or a dissemination and evaluation project
Course 2: Research Methods for Health Services Research (4 units)
This course is about the basic principles of research and how they apply to health services research. It will include a discussion of hypothesis testing, the different types of data used for research and a formal treatment of Fisherian inference will be provided. The theory will be shown in practice with worked examples and there will be a general discussion of the reproducibility crisis. Different approaches to assess causality and associations are taught. An introduction to qualitative research methods is provided and participants are taught how to design good surveys.
Upon completion of the course, students should be able to:
- Articulate the research process and formally state a hypothesis
- Understand Type I and II error
- Be able to critique published research that uses a range of study designs
- Understand the different approaches to assessing causality used in health services research
- Apply the methods of qualitative research
- Understand the requirements for good survey design
Course 3: Health Technology Assessment, Economic Evaluation and Decision Making (4 units)
You will learn about Heath Technology Assessment and Cost-Effectiveness Analysis, and how they relate to decision making for health services. Health Technology Assessment is a well-established tool used when decisions need to be made quickly. Economic evaluation and cost-effectiveness, emerge from welfare economics and offer a theory based approach to informing choice and trade-offs given scarcity of resources. Often, new data are required or a more formal research approach is used. Various modelling approaches are used to complete economic evaluations.
Upon completion of the course, students should be able to:
- Complete their own health technology assessment project and understand the rationale and methods for doing one.
- Understand the principles of welfare economics, market failures and how they apply to the supply of health care services.
- Be able to build and evaluate a cost-effectiveness model
- Be able to read and interpret a published cost-effectiveness study, able to collaborate with a health economist for a new study.
- Understand the scientific paradigms of decision making and how they come into conflict with traditional scientific approaches.
Course 4: Healthcare + Data Science (4 units)
This course exposes students to the foundation concepts, case studies and applications, some mathematics behind data science models and algorithms. There will also be practical sessions for model development, training, validation and tests. Students will acquire new knowledge of data science techniques. The new knowledge from this course will enable predictions to be made about likely diagnoses, prognoses of health conditions and risks of adverse events.
There will also be a mini-project and healthcare case studies to demonstrate the applicability of data science as a key enabler for improving the delivery of health services.
Upon completion, students should be able to:
- Understand the value and application of data science for the future of health services
- Develop the ability to independently conduct health data science projects
Flexible Schedule: The program structure accommodates the busy schedules of healthcare professionals. Each course has a 5-day contact time, divided into two blocks of 3 days and 2 days, with a break in between. This allows you to balance your work commitments while pursuing the program.
Instructor-Led Online Format: The program is delivered through an instructor-led online platform, providing convenience and accessibility. You can participate in the course from anywhere, eliminating the need for travel and allowing you to engage in the coursework at your own pace.
Regular Courses: Two courses are offered per year, ensuring a steady progression through the program. This enables you to complete the Graduate Certificate in Health Services Innovation within 2 years while maintaining a manageable workload.
Intensive Learning Experience: During the 5-day contact time of each course, you will engage in focused learning activities and interactions with instructors and fellow participants. The program emphasizes a hands-on approach, with formal assessments conducted during the contact time to gauge your understanding and progress.
Blended Learning Approach: The program combines online instruction with interactive elements to enhance your learning experience. You will have access to course materials, discussions, and resources through the online platform, allowing for continuous learning beyond the contact time.
By offering a flexible schedule, instructor-led online delivery, regular course offerings, intensive learning experiences, and a blended learning approach, the program ensures that you can effectively balance your professional responsibilities while actively participating in the Graduate Certificate Programme in Health Services Innovation.
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Assessment is by short class quizzes, individual assignments and group work.
Doctors, Nurses, Allied Health and Professional managers/administrators.
Both Singaporean and International applicants are welcome. To be eligible, you need a Bachelor’s Degree in a Health, Information Technology or a Management discipline. Work experience instead of a Bachelor’s Degree can be considered on a case-by-case basis. The goal is to help develop future clinical and non-clinical leaders to drive innovation, engage in research and redesign services. We seek enthusiastic participants willing to join a high performing cohort and have impact on health services.
Intake 1: (Fully subscribed)
Intake 2: (Fully subscribed)
Intake 3: (Fully subscribed)
Intake 4: (Fully subscribed)
Registration for standalone course is now Open!
Please submit your application through https://myapplications.nus.edu.sg/
Course 2 - Research Methods for Health Services (5 days)
Days 1 to 3: (19 to 21 Aug 2024)
Days 4 and 5: (23 to 24 Sep 2024)
Course 3 - Health Technology Assessment, Economic Evaluation and Decision-making (5 days)
Days 1 to 3: (13 - 15 Jan 2025)
Days 4 and 5: (10 - 11 Feb 2025)
Course 4 - Healthcare + Data Science (5 days)
Days 1 to 3: (4 to 6 Aug 2025)
Days 4 and 5: (1 to 2 Sep 2025)
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All classes are conducted in English at GMT + 8 (Singapore time zone) via Zoom.
Single course fee is SGD5,400 before GST
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Course Fee in SGD
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International Participants
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Singapore Citizens
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Singapore PRs
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Enhanced Training Support for SMEs
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39 years old or younger
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40 years old or older
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Full Course Fee
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$5,400.00
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$5,400.00
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$5,400.00
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$5,400.00
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$5,400.00
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Less: SSG Grant Amount
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$0.00
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$3,780.00
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$3,780.00
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$3,780.00
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$3,780.00
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Nett Course Fee
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$5,400.00
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$1,620.00
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$1,620.00
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$1,620.00
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$1,620.00
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8% GST on Nett Course Fee
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$432.00
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$129.60
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$129.60
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$129.60
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$129.60
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Total Nett Course Fee Payable, Including GST
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$5,832.00
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$1,749.60
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$1,749.60
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$1,749.60
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$1,749.60
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Less Additional Funding if Eligible Under Various Schemes
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$0.00
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$0.00
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$1,080.00
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$0.00
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$1,080.00
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Total Nett Course Fee Payable, Including GST, after additional funding from the various funding schemes
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$5,832.00
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$1,749.60
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$669.60
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$1,749.60
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$669.60
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Funding Requirements:
Participant must achieve at least 75% attendance for the programme.
Participant must complete and pass all assignments / assessments as assigned by the trainer.
Full graduate certificate programme is SGD21,600 before GST
To be awarded a graduate certificate, you must demonstrate competency in all four courses and pass the assessments.
Participants will gain access to the prestigious network of Duke-NUS / NUS Alumni for valuable networking opportunities upon completion of the Graduate Certificate programme.
Programme Director
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Prof Graves is the Deputy Director of the Programme in Health Services & Systems Research at Duke-NUS and the SingHealth Duke-NUS Health Services Research Institute. His areas of knowledge include health economics, health services research, decision making and cost-effectiveness. He is interested in projects that show high and low-value care, as well as the processes around implementing new policies.
His major focus is on showing how health services can be improved at low cost, or even improved with cost savings. He enjoys collaborating with clinicians who wish to improve the performance of health services.
Prof Graves has made contributions of international significance, publishing over 250 articles in top-ranking peer reviewed journals such as JAMA, BMJ, AIDS, Health Economics, Clinical Infectious Diseases, Lancet Infectious Diseases, The Journal of Infectious Diseases and Emerging Infectious Diseases.
[Bio]
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Teaching Faculty
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Dr. Roger Daniel Vaughan is the Director for the Centre for Quantitative Medicine (CQM) and Centre for Clinician Scientist Development (CCSD) and he is also the Associate Dean for the Office of Research at the Duke-NUS Medical School, Singapore. Prior to that, he was the Director of Biostatistics at The Rockefeller University Hospital, and Professor at the Weill Cornell Graduate School of Medical Sciences.
Dr. Vaughan spent 25 years at Columbia University where he held several leadership positions, including Professor and Chairman of the Department of Biostatistics, Vice Dean for Academic Advancement, and Director of the Biostatistics, Epidemiology and Research Design Core for Columbia’s Clinical and Translational Science Award (CTSA). Dr. Vaughan received his MS in Mathematical Statistics and his doctorate in Biostatistics from Columbia University. He has won numerous awards for outstanding teaching, including awards from the American Statistical Association, the American Public Health Association, and The Mailman School of Public Health, as well as Columbia University’s Presidential Teaching Award. He is an active member in many professional organizations, including the New York Academy of Medicine, the American Statistical Association, and the Association for Clinical and Translational Science. He has been a leader in the American Public Health Association and currently serves as Associate Editor and Editor for Statistics and Evaluation for their flagship journal, the American Journal of Public Health.
Dr. Vaughan’s biostatistical expertise lies in methods for the analysis of clustered and correlated data, arising typically from Group- or Cluster-randomized trials, the design and analysis of Phase I to Phase III trials, analytic methods for quasi experiments, and statistical education. He is an author of more than 150 peer-reviewed articles in both biostatistical methods development and the application of statistical methods in medicine and public health.
Dr. Vaughan followed the well worn and usual career path from restoration and renovation of historic homes to biostatistics.
[Bio]
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A/Prof Liu Nan is an Associate Professor at the Centre for Quantitative Medicine (CQM) and Programme in Health Services and Systems Research (HSSR), Duke-NUS Medical School. He is also a faculty member at NUS Institute of Data Science, and a graduate faculty member at Duke University, USA. Clinically, Dr Liu is affiliated with SingHealth.
A/Prof Liu is actively working on AI, machine learning, and data science with their applications in various clinical domains. He is also interested in technology translation and commercialization. He co-founded TIIM Healthcare Pte Ltd and serves as its Scientific Advisor. His research has been funded by the National Medical Research Council (NMRC), National Research Foundation (NRF), National Health Innovation Centre (NHIC), Ministry of Education (MOE), AI Singapore, Duke-NUS Medical School, and SingHealth Foundation, as well as industrial partners such as Continental AG.
A/Prof Liu serves and has served as Associate Editor/Editorial Board Member for more than 10 international peer-reviewed journals, including npj Digital Medicine, IEEE Journal of Biomedical and Health Informatics, and PLOS Digital Health. Additionally, he is a regular reviewer for more than 80 international journals, including The Lancet and Nature Medicine. He also serves on the Program Committees of a number of premium AI and data science conferences such as AAAI, NeurIPS, and AMIA.
[Bio]
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Dr Elaine Lum is Assistant Professor, Health Services & Systems Research, Duke-NUS Medical School and an Advanced Practice Pharmacist (Australia)..
Elaine is an implementation scientist and health services researcher with extensive clinical experience, as well as in quality and safety of health systems, and education/training of healthcare practitioners. Her current work in implementation research focusses on embedding innovations in healthcare — new care pathways, digital health (eHealth, mHealth, healthcare-related AI) — into routine clinical practice and health services.
She is interested in projects that enable people to be healthy and to access a minimum standard of appropriate healthcare, wherever they live and whatever their capacity to pay. She believes in the value and power of collaborating with people of integrity who dare to do things differently and fail fast, to bring about game-changing practices and innovations for better patient care
[Bio]
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Dr. Rahul Malhotra is a physician-researcher, working as Assistant Professor, Health Services and Systems Research (HSSR), and Deputy Director and Head of Research, Centre for Ageing Research and Education (CARE) at the Duke-NUS Medical School.
The primary area of his research is ageing, at the individual and the population level. The geographical focus of his research is Singapore, with some work in other Asian countries. Key research projects that he has led or is leading include (1) nationally representative longitudinal surveys of older Singaporeans (PHASE and THE SIGNS Study), studying the predictors and outcomes of change in physical, psychological and social health of older adults, (2) longitudinal quantitative and qualitative studies (TRACE and The Quali-T Study) of older Singaporean-family caregiver dyads, assessing the patterns, correlates and consequences of changes in caregiving-related outcomes over time, and (3) a health services research project (PROMISE), providing the evidence base for older person-centred prescription medication labels.
He has published over 175 peer-reviewed papers in the medical, public health and social science literature. He is a member of the World Health Organization’s Consortium on Metrics and Evidence for Healthy Ageing, and served on the World Economic Forum’s Global Future Council for Healthy Ageing and Longevity for the 2020-2021 term. He received his basic (MBBS) and advanced (MD in Community Medicine) medical training at the University of Delhi, India, and public health (MPH) training at Harvard University, USA.
[Bio]
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Asst Prof Sean Lam has a PhD and Master’s in Industrial and Systems Engineering, Operations and Business Analytics from the National University of Singapore. He is currently the Head of Data Science in the SingHealth Duke-NUS Academic Medical Centre, overseeing a team of data scientists for the enhancement of patient care and outcomes through health services research. Sean is also an Assistant Professor at the Signature Programme in Health Services and Systems Research, Duke-NUS. He has more than 20 international publications, and won numerous local and international awards.
[Bio]
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Dr Sungwon Yoon is Assistant Professor at the Programme in Health Services & Systems Research, Duke-NUS. She is a public health researcher and behavioral scientist. Her main research interest lies in understanding individual and population health behavior which may have public health significance. Through this research, she hopes to utilize the findings to inform health policy planning and evaluation.
She has extensive experience in qualitative and mixed research methodologies used in a variety of fieldwork settings. Her current research projects include assessment of post-screening behavior for chronic conditions (diabetes, hypertension and hyperlipidemia); risk perceptions and health-seeking behaviors in individuals with pre-diabetes; personalized behavioral intervention using mobile technology for chronic disease self-care; health services research pertaining to cancer and end of life care; primary care based integrated community care team intervention; medication adherence; and global health governance.
She was a Korea Government Fellow at London School of Economics and Political Science (LSE). She was trained as a medial sociologist at Seoul National University and Ewha Womans University in Korea and subsequently completed a second doctorate in public health at London School of Hygiene and Tropical Medicine (LSHTM) in the United Kingdom.
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Dr Pwee conducts health technology assessment (HTA) to inform decision-making on the use of health technologies in CGH. His research interests include methods in health technology assessment, processes for employing HTA in decision-making, clinical practice guidelines development methodology and methods in evidence-based healthcare in general.
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Dr Sze Ling Chan is an experienced researcher with a pharmacy background and PhD in Pharmacogenomics from the National University of Singapore. With over 15 years in research, she has a broad skill set ranging from data analysis and epidemiology to health economics and qualitative methods, and have in-depth knowledge of pharmacogenomics, health services research, implementation science, pharmacoepidemiology and working with electronic medical records.
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Contact
For enquiries, please write to hssr@duke-nus.edu.sg.
