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Advanced Professional Certificate

Advanced Professional Certificate in Digital Health Informatics

Training Roadmap


Completion of Stages 1 to 3 curricula earns the participant an Advanced Professional Certificate in this programme.

Programme Overview

The Advanced Professional Certificate in Digital Health Informatics is a comprehensive programme that combines three key areas: Healthcare Computational Systems, Healthcare Analytics and Storytelling, and Digital Health Informatics and Healthcare Logistics. It provides a transformative journey at the intersection of technology and healthcare, equipping learners with the skills to reshape the healthcare delivery landscape. The programme enables learners to revolutionize data, information, and knowledge management in healthcare. It also delves into the significance of data within healthcare institutions and teaches learners to learn the tools and techniques required for healthcare analytics. The programme further emphasizes the art of data visualization and crafting compelling data-driven narratives. Additionally, it provides a deep understanding of health informatics and healthcare logistics, shedding light on telehealth applications and offering insights into mapping healthcare processes and patient journeys. Overall, this programme empowers learners to adeptly navigate the intersection of digital health informatics and healthcare logistics, thereby enhancing patient and population outcomes.

Programme Objectives

This Advanced Professional Certificate will equip learners with the following competencies:

  • 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.
  • Understand the importance of data to a healthcare institution for operations and planning, evaluation of performance goals and improvement of service and patient care.
  • Learn the tools and techniques to clean, process, analyse and interpret various categories of healthcare analytics.
  • Examine need and support for Public Health Informatics.
  • Participants will be able to use the knowledge of the logistics industry to map and optimise their clinical, patient journeys and care processes.

Job Role Readiness

It will prepare learners in the following job roles to perform their responsibilities more effectively:

  • Health Informatician
  • Healthcare Informatics Professionals, Nurses, Patient Service Executive
  • Data Analyst

Who Should Attend

Mid-career PMETs looking to pivot into the health informatics area and job roles.

Prerequisites

At least a polytechnic diploma (or equivalent)

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Instructors


A/Prof Danny Poo

A/Prof Danny Poo

A/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 five 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

Mr Teo Chin Seng

Mr Teo Chin Seng

Mr Teo Chin Seng is an experience Senior Technology Executive with more than 33 years of experience, working in the Asia Pacific (Singapore), China, Middle East and USA (LA). Chin Seng last appointment was the Senior VP of Global IT in DP World. He was leading the digitalization of DP World through the implementation of a Global Digital platform that serves our 78 terminals in 40 countries. He has been in senior management roles for the last 22 years, leading and transforming organizations through technology. He is a thought leader in the use of technology to transform companies towards greater efficiencies and transforming new business models. His experience spans across Healthcare Industry, Manufacturing, FMCG, distribution Logistics, Free Trade Zones, Customs, Regulatory controls and Maritime Logistics. In the age of digitalization of Business, it is about transforming to deliver business value: Business Digitalization, Business Transformation, and Process Re-engineering The product, Process and Service innovation, and Achieving business values, improving operations’ efficiencies and creating greater delights in customers’ processes. Future and Smart City Research and Development. Research and Development of Technology Solutions of Intelligent Cities through different Social-Psychology Profiles, People Behaviors, Person lifecycle and changing needs and social acceptance of solutions. As a successful practitioner, a thought leader and a technology/ business evangelist, Chin Seng have successful lead and delivers the use of new developments in technology and businesses, to present value, relevance and instills a strong sense of confidence for businesses to execute and implement.

Dr Yeo Wee Kiang

Dr Yeo Wee Kiang

Dr Yeo Wee Kiang is a Senior Lecturer at the Department of Information Systems and Analytics in the NUS School of Computing, where he is dedicated to researching the use of technologies like Adaptive Learning and Large Language Models (LLMs) to create personalized and engaging computing education experiences. With a PhD from NUS focused on machine learning and data mining for pharmaceutical drug discovery, Dr Yeo brings practical industry experience as the former Director of Data Science at a food tech startup, where he led a team applying AI and machine learning to enhance nutritional value. His diverse background includes being an Adjunct Lecturer in the Department of Economics at NUS Faculty of Arts and Social Sciences, helming the Big Data Analytics module in the Master of Economics programme from 2019 to 2023, and teaching Python programming and data analytics at Nanyang Business School. Prior to his academic appointments, Dr Yeo was the Lead Instructor for Data Science at a New York-based commercial Continuing Education and Training (CET) provider, teaching aspiring adult learners in Hong Kong, Sydney, and Singapore. He also holds the WSQ Advanced Certificate in Training and Assessment (ACTA) from the Institute for Adult Learning Singapore. As part of the NUS ACE (Advanced Computing for Executives) teaching team, Dr Yeo specializes in technical training and practical computing education focused on data analytics, machine learning, and Python, aiming to equip professionals with in-demand Data Science skills.

Mr Jim Lim Shien Min

Mr Jim Lim Shien Min

Mr Jim Lim Shien Min is the founder of 59stVentures, an organisation focusing on leveraging expertise, experiences and connections of senior technology executives to create a positive social impact for society. He is currently the APAC Head of Health Ecosystem with the Zuhlke Group where he is helping the company expand its offerings to healthcare ecosystem players regionally. Prior to this, Jim was leading NCS Healthcare’s business and was involved in a few Covid-related initiatives including Community Care Facilities and public health systems. Before Covid, Jim was the founding CEO for Good Doctor Technology, a joint venture between PingAn Good Doctor from China and Grab. He joined the company as its first employee to set up its businesses in Indonesia and Singapore. Jim is currently an adjunct lecturer at the National University of Singapore (NUS), Singapore University of Social Sciences (SUSS), Huawei University and the FinTech Academy. He also sits on the board of startup companies in China, Taiwan, Singapore and India. Before his tenure at Good Doctor, Jim served as the Global Senior Director within the Group Chief Transformation Office at Huawei Technologies. In this role, he acted as the Regional Chief Technology Officer for strategic digital transformation projects across the APAC region. His focus encompassed various industries, including Telecommunications and Smart Nation/City initiatives, as well as domains such as Cloud Computing and Big Data. Additionally, Jim contributed to aspects such as Business Modelling and Design Thinking. Prior to joining Huawei, Jim was the CBE (Client Business Executive) at Amdocs where he held full P&L responsibilities spanning sales, delivery and operations. He was with Amdocs for nine years and was previously the Senior Director, Business Strategy and Sales Engineering in APAC, who set up the regional delivery team and was responsible for all accounts presales and strategic business development activities within Amdocs APAC. Jim was Techmahindra Presales and Delivery Group Head for APAC who set up its regional delivery centers and presales teams. Jim also established partnerships with other vendors such as Huawei and Oracle while serving as Country Manager for Greater China. Prior to this role, Jim was a project and JV manager and a senior consultant at Accenture, with solid experiences in large-scale business transformation programmes in SingTel, Telekom Malaysia and Starhub. With over 24 years of consulting, advisory and ICT industry experiences in business, customer and project management, Jim brings his wealth of experience providing strategic, business and technological advice to global clients. Jim holds an MBA (Distinction) from Manchester Business School and a B. Eng (Hons) in Electrical and Electronics Engineering from Nanyang Technological University. He is also a certified Project Management Professional and a seasoned company spokesman for media and analysts. He is currently the Vice President for Cloud Security Alliance Singapore Chapter, a global mentor for PingAn Technology Innovation Center, an industry mentor for ICT with Young NTUC, a Senior Fellow appointed by SUSS and an Executive Education Fellow at NUS.

Ms Samantha Sow

Ms Samantha Sow

Ms. Samantha Sow is currently a Senior Lecturer in the department of Information Systems and Analytics at the National University of Singapore (NUS). She has over 8+ years of experience in Business Analytics and Data Science and she conducts training for both government agencies and corporate clients. Before joining NUS, she lectures at Temasek Polytechnic, teaching Business Analytics and Data Science to professionals, managers and executives (PMEs). Prior to being an academia, Samantha worked in the research and development at Infineon Technologies. Her research and project areas include Business Analytics, Data Mining, Predictive and Prescriptive Analytics. She has a passion for engaging and inspiring participants to enhance their workplace analytics capabilities and increase business intelligence quotient within their organisations. Her interests lie in the applications of data analytics, predictive modelling and optimization techniques to derive actionable insights for commercial effectiveness. She is familiar with typical analytics tools such as Python, R, and SAS, SPSS and Tableau. She also has working knowledge in the area of Analytics, Data Science and Machine Learning. Samantha completed her Master of Education from University of Sheffield and graduated from the National University of Singapore with a Bachelor’s in Engineering, First Class Honours. She has also completed THEC (Teaching in Higher Education) and ACTA (Advanced Certificate in Training and Assessment). She is a member of the adult associate educator (AEN) by Institute for Adult Learning (IAL), Singapore. Her certifications include: Microsoft Certified Azure Data Scientist Associate. Microsoft Certified Data Analyst Associate. SAS Certified Predictive Modeller in SAS Enterprise Miner. Tableau Certified Desktop Specialist.

Programme Fees


Singapore Citizens Singapore PRs Enhanced Training Support for SMEs International Participants
39 years old or younger 40 years old or older
S$5,493.60 S$2,133.60 S$5,493.60 S$2,133.60 S$18,312.00
  1. Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes
  2. Participants must fulfill at least 75% attendance and pass all assessment components for all short courses within an advanced professional certificate to be eligible for SSG funding.
  3. GST shall apply at prevailing rates.

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11 Research Link
COM 3, #B1-07
Singapore 119391
Telephone: +65 6516 5523
Email: soc-ace@nus.edu.sg

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