Date: To be advised
Duration: 3 Days
Course Overview
Health Informatics is an all-embracing term which encompasses every aspect of Information Science and Information Technology (IT) used in healthcare delivery systems. It is the field concerned with the acquisition, use, and storage of information in healthcare, biomedical research, and public health. It covers the many facets of IT as applied in the healthcare environment. It begins with a definition of the term Health Informatics, discusses the various types of Health Information Systems and covers topics related to the implementation of IT in the healthcare settings including network infrastructures, standards (such as SNOMED, ICD, and LOINC) and interoperability issues, good data integrity and management, and challenges associated with IT implementation in healthcare institutions.
This module is part of Professional Certificate in Healthcare Computational Systems.
Course Objectives
Upon completing the course, learners are able to:
- understand the inter-relation among Computer Science, Information Science and Health Science to support the management and processing of data, information and knowledge in healthcare delivery.
- apply Health Informatics to advance healthcare delivery and practice to ultimately improve patient outcomes.
- apply relevant standards in health information systems to address systems interoperability issues.
- Explore as to how infrastructures can play a supportive role in the administration of healthcare services.
- Learn the various health information systems (e.g., Electronics Medical Records, Computerised Physician Order Entry System, Electronic Health Records, and Health Information System) and technologies deployed in the healthcare ecosystem to support healthcare services.
Who Should Attend
Health Informatician
Prerequisites
At least a polytechnic diploma.
Course Conveners
(Click their photos to view their short biographies)
Assoc Prof Danny Poo

Assoc Prof Danny Poo
Assoc Prof Danny Poo brings with him 35 years of Software Engineering and Information Technology and Management experience. A graduate from the University of Manchester Institute of Science and Technology (UMIST), England, Dr Poo is currently an Associate Professor at the Department of Information Systems and Analytics, National University of Singapore. Prior to joining the University, Dr Poo was with the System Operations at DBSBank, Singapore.
A Steering Committee member of the Asia-Pacific Software Engineering Conference, Dr Poo is actively involved in Information Management and Healthcare Analytics research. A well-known speaker in seminars, Dr Poo has conducted numerous in-house training and consultancy for organizations, both locally and regionally. Dr Poo is the author of 5 books on Object-Oriented Software Engineering, Java Programming language and Enterprise JavaBeans.
Dr Poo notable teaching credentials include:
- Data Strategy
- Data StoryTelling
- Data Visualisation
- Data Analytics
- Machine Learning
- Data Management
- Data Governance
- Data Architecture
- Capstone Projects for Business Analytics
- Software Engineering
- Server-side Systems Design and Development
- Information Technology Project Management
- Health Informatics
- Healthcare Analytics
- Health Informatics Leadership.
Industry Credentials
- Deutsche Bank
- Gemplus
- Micron
- NCR
- PIL
- PSA
- Rhode-Schwarz
- Standard Chartered Bank
- ST Electronic
- Monetary Authority of Singapore
- Infocomm Development Authority
- National Library Board
- Ministry of Manpower
- Nanyang Technological University
- Nanyang Polytechnic
- National University Hospital.
Dr Lek Hsiang Hui

Dr Lek Hsiang Hui
Dr Lek Hsiang Hui is a Specialist in Data Analytics, System Analysis and Development. He is an IT techie who is passionate about computer systems and technology.
He is involved in a few startups and is constantly looking into innovative IT solutions which can be translated to business ideas, with the recent one in the area of Big Data Analytics. He is also a mobile application developer and has produced more than 10 mobile apps.
Dr Lek has been teaching various undergraduate courses and executive courses in National University of Singapore (NUS) since 2006. Some of these modules include programming methodology, enterprise system analysis and development, and data mining. During this period, he has won a number of teaching awards such as NUS Annual Teaching Excellence Award (2015/16, 2016/17, 2017/18) and NUS Annual Teaching Excellence Honor Roll (2018/19), Faculty Teaching Excellence Award (2014/15, 2015/16, 2016/17), and Faculty Teaching Excellence Award Honor Roll (2017/18).
Dr Lek received his Doctor of Philosophy (Information Systems) from NUS in 2013. His research area is in Natural Language Processing (Sentiment Analysis). He graduated with a Bachelor’s Degree (1st class Honors) in Computer Engineering from NUS.
Industry Credentials
Shopping Malls (UOL, Marina Square, ION), Healthcare (SingHealth), Government (STB), various SMEs in F&B, Apparels, Cleaning Solutions, Photography, Health Products, Baby Products
Course Fees
Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes
Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.
To enquire, email soc-ace@nus.edu.sg
To register, click Register
Course Code:
TGS- 2022012731 (Classroom Learning)
TGS-2022012732 (Synchronous e-learning)
For members of public and NUS Alumnus (without R&G Voucher), please follow the steps below:
Select Short Course / Modular Course -> Apply for Myself -> Browse Academic Modules / Short Courses-> Module/Course Category -> Short Courses -> Browse Courses-> Advanced Computing for Exe (Faculty/Department / Unit)
Please download the user guide for NUS Online Application Portal after you click ‘Apply for Myself’ if you need assistance.
Course Fee Breakdown
Singapore Citizens
39 years old or youngerSingapore Citizen
40 years old or olderYou may also like to view:
Catalogue of Programmes for Individuals
- Course Category
- Artificial Intelligence & Machine Learning
- Business Analytics & Data Science
- Cloud Computing & Internet of Things
- Cybersecurity & Data Governance
- Digital Business & Technopreneurship
- Digital Health & Nursing Informatics
- Digital Technology & Innovation Management
- Digital Transformation & Change Leadership
- Education Technology & Learning Design
- Emerging & Disruptive Technologies
- FinTech & Blockchain
- Interactive Media Development & Metaverse
- Software Programming & Networking
- UX/UI Design & Digital Product Management