Healthcare in the Era of Big Data and Artificial Intelligence
Background & Overview
The use of big data analytics and artificial intelligence (AI) is set to transform many industries, including the healthcare sector. Along with the increasing digitization of our healthcare systems, massive amount of complex data is generated, which offers opportunities for big data analytics. Such investigations will be able to translate the data into real and actionable insights to healthcare practices, thus provide new understanding and ways of treating diseases, and improve overall individual and population health. Some of the issues that can be addressed by big data analytics include inefficiencies of healthcare systems, and potential adverse drug reactions. The application of AI in health analytics of data derived from digital devices may lead to innovative personalized health care.
The Department of Pharmacy at the National University of Singapore is organizing this introductory course on big data and AI with the aim to inform and enthuse healthcare professionals, clinical-scientists, researchers and students with the fundamentals and some applications of the subject. Harnessing the power of big data and AI has great potential in uncovering the underlining factors that can aid advancing healthcare practices so as to serve the patients better. No prior knowledge on data science is needed to benefit from this course. Participants will be able to network with our faculty as well as others who attend the course, thus seeding potential collaboration opportunities.
Date
28 February – 1 March 2019
Venue
Pharmacy Practice Skills (PPS) Hub
S4 Level 2
Department of Pharmacy
National University of Singapore
Highlights
- Introduction to big data and AI and its applications in healthcare and medicine
- Transformation of Singapore’s healthcare landscape with big data and AI
- Learn the basics of “R” programming through hands-on training
- Expert panel discussions and networking
Speakers
Chen Yu Zong, PhD
Professor
Department of Pharmacy
National University of Singapore
Sreemanee Raaj S/O Dorajoo, PhD
Data Analyst
Health Sciences Authority (HSA)
Singapore
Yap Chun Wei, PhD
Principal Research Analyst (Data Science)
National Healthcare Group (NHG)
Health Services & Outcomes Research
Singapore
Ngiam Kee Yuan, MBBS, MRCS, MMed, FRCS
Group Chief Technology Officer, NUHS
Deputy Chief Medical Informatics Officer, NUH
Consultant Thyroid and Endocrine Surgeon, NUH
Assistant Professor, YLL SoM, NUS
Singapore
Kevin Y.-L. Yap, PhD, MEng, BSc(Pharm)(Hons), SDMC, SRPharms, CBDSA
Senior Lecturer in Public Health (Digital Health)
Department of Public Health, School of Psychology and Public Health
La Trobe University
Australia
Li Jialiang, PhD
Associate Professor
Department of Statistics and Applied Probability
National University of Singapore
Lou Huei-Xin, PharmD, MSc (Clinical Pharmacy)
Head
National Pharmacy Programme Management Office
Ministry of Health
Singapore
Kuldeep Singh Rajput, PhD
Founder and CEO
Biofourmis Group
Programme
| Thursday | 28 February 2019 : Day 1 Seminar | |
|---|---|---|
| Time | Programme | Speaker |
| 0830 – 0915 | Registration & Breakfast | |
| 0915 – 0925 | Welcome and Programme Overview | Prof Chen Yu Zong |
| 0925 – 1005 | Big Data, AI and Medicine | Prof Chen Yu Zong |
| 1005 – 1045 | Reclassification Statistics for Assessing Accuracy Improvement in Deep Learning |
A/Prof Li Jialiang |
| 1045 – 1125 | Text Mining of Clinical Notes to Detect Serious Adverse Drug Reactions | Dr Sreemanee Raaj S/O Dorajoo |
| 1125 – 1205 | Deep Learning and Its Applications in Healthcare | Dr Yap Chun Wei |
| 1205 – 1315 | Lunch | |
| 1315 – 1345 | Panel Discussion 1 | Prof Chen Yu Zong A/Prof Li Jialiang Dr Sreemanee Raaj S/O Dorajoo Dr Yap Chun Wei |
| 1345 – 1425 | Overview of the Roles of Big Data and Artificial Intelligence in Shaping the Future of Healthcare in Singapore | Dr Lou Huei-Xin |
| 1425 – 1505 | Augmenting Personalized Care and Therapies using Digital Therapeutics | Dr Kuldeep Singh Rajput |
| 1505 – 1535 | Tea Break & Networking | |
| 1535 – 1615 | Disrupting the Care of Patients Through the Lens of I, Robot | Dr Kevin Yap |
| 1615 – 1655 | Advancing Drug Personalisation and Surveillance on DISCOVERY AI | Dr Ngiam Kee Yuan |
| 1655 – 1725 | Panel Discussion 2 | Dr Lou Huei-Xin Dr Kuldeep Singh Rajput Dr Kevin Yap Dr Ngiam Kee Yuan |
| 1725 | Feedback & Closing Remarks |
| Friday | 1 March 2019 : Day 2 Workshop |
|---|---|
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An Introductory Course to R with Hands-on Training for Healthcare Data Analytics R is an open source statistical programme that is rapidly becoming the leading tool in data science and statistics. R is arguably the tool of choice in numerous industries because of its versatility and extensibility in solving data problems. Whether you are a heavy-duty number cruncher or an occasional / recreational data analyst, R will fit your needs. R offers a full suite of functionalities in the form of libraries that offer healthcare researchers a variety of tools to interrogate their data. In this introductory workshop, the critical steps involved in importing, cleaning and preparing datasets for analysis in R with be demonstrated. An introduction to the graphing capabilities of R for visualizing relationships between variables to draw insights from the data will also be covered. Additionally, methods of performing statistical analyses to derive answers to research questions of interest will also be covered. This workshop is intended for participants who have some prior experience analyzing data using any other statistical software or in Excel. No prior programming experience is necessary but installing R on your laptop prior to the session is required. More details on R installation will follow upon registration of the workshop. Learning outcomes: At the end of the workshop, you will be able to: (a) Import datasets into R |
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Workshop Fee
| Regular Fees | Before 7% GST | After 7% GST |
|---|---|---|
| Option 1 Seminar & R workshop |
S$ 500/pax | S$ 535/pax |
| Option 2 Seminar only |
S$ 350/pax | S$ 374.50/pax |
Breakfast, lunch and Tea will be provided
Cancellation and Substitution Policy Cancellation must be received on or before February 15, 2019. Refunds will not be issued for cancellations received after this date. There is a SGD $100 processing fee on all cancellations. You may send a substitute registrant from the same organization. Substitutions must be submitted via email. To cancel or substitute your registration, contact phacuiy@nus.edu.sg.
Registration
Click here to register now!
Registration closes on 15 Feb 2019.
For inquiries, please email to PIRC@nus.edu.sg
This is a SPC CPE recognized event.