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Delivering Solutions to Consumer-Centric Problems

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.


28  February – 1 March 2019


  • 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


Pharmacy Practice Skills (PPS) Hub
S4 Level 2
Department of Pharmacy
National University of Singapore



Chen Yu Zong, PhD
Department of Pharmacy
National University of 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

Lou Huei-xin

Lou Huei-Xin, PharmD, MSc (Clinical Pharmacy)
National Pharmacy Programme Management Office
Ministry of Health


Sreemanee Raaj S/O Dorajoo, PhD
Data Analyst
Health Sciences Authority (HSA)


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

2016-07-19 10.36.23

Kuldeep Singh Rajput, PhD
Founder and CEO
Biofourmis Group

Yap Chun Wei

Yap Chun Wei, PhD
Principal Research Analyst (Data Science)
National Healthcare Group (NHG)
Health Services & Outcomes Research


Li Jialiang, PhD
Associate Professor
Department of Statistics and Applied Probability
National University of Singapore


Day 1 Seminar
Thursday, 28 February 2019


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 – 1645 Panel Discussion 2 Dr Lou Huei-Xin

Dr Kuldeep Singh Rajput

Dr Kevin Yap

Dr Ngiam Kee Yuan


1645 – 1725 Advancing Drug Personalisation and Surveillance on DISCOVERY AI Dr Ngiam Kee Yuan
1725 Feedback & Closing Remarks

Day 2 Workshop
Friday, 1 March 2019

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
(b) Clean and prepare datasets for analysis
(c) Visualize data via scatter plots
(d) Perform inferential statistical analysis

Time Program Trainer
0830 – 0930 Breakfast  
0930 – 1230 An Introductory Course to R with Hands-on Training for Healthcare Data Analytics Dr Sreemanee Raaj S/O Dorajoo


1230 – End Lunch & Networking  

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.


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.

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