With the increasing use of IT in healthcare, consolidating the large volumes of data generated daily from a healthcare institution’s array of information systems is increasingly posing a massive challenge to administrators, care providers and researchers. Leveraging on such data is vital to the healthcare institution in terms of gathering business intelligence, streamlining workflows, keeping operating costs down and having the means to track and improve operations so as to offer the highest quality of customer service and patient care. To maximize the yield of information from its operations data, it is strategic for healthcare institutions to acquire in-house analytic skills which can provide them with the professional competence to collect, clean, process and analyse data and generate results especially for workflow dashboards and KPIs for use by its management, care providers and various stakeholders.

As statistics is the bedrock of data analytics, the Gateway Consulting’s Data Analytics in Healthcare Course is tailored to enable participants to acquire the necessary data analytic skills as a first step in the training of data scientists in healthcare. The emphasis on acquiring basic statistical skills is done over 3 days of full-day training using a combination of lectures, case studies and hands-on labs. Participants will also get to learn the use of the open-source R statistical package. All lectures and labs will be conducted by Professor (retired) KC Lun, CEO of Gateway Consulting.

Learning Outcomes

Course will enable participants to:
  • Understand the strategic importance of data, data governance and data-driven culture to a healthcare organization.
  • Know where and how to acquire various primary and secondary data sources and understand healthcare data characteristics to define and derive Key Performance Indicators to monitor quality and safety of care
  • Acquire the skills to plan, execute, acquire and analyze data, measure and interpret outcomes for commonly used study designs in healthcare
  • Acquire the analytic skills to derive statistical indices, charts and graphs to facilitate operations and planning, evaluation of performance goals and improve service delivery and patient outcomes
  • Acquire the analytic skills to perform statistical estimations and statistical hypothesis testing to enhance the quality and rigor of management and research reports
  • Acquire the analytic skills to utilize statistical techniques to predict healthcare outcomes
  • Identify data limitations and understand how to resolve them
  • Acquire analytic skills using the open-source R statistical software and the R-Commander tool

Who should Attend?

  • Individuals who are interested to foster a data-driven culture within their organization
  • Individuals working or wishing to work in healthcare institutions and organizations who desire to acquire basic data analytic skills training
  • Individuals aspiring to work as data scientists in institutions, organizations and industries, especially related to the healthcare industry
  • Individuals wishing to acquire basic data analytic skills training for research and development (R&D), especially relating to healthcare and biomedical sciences
  • Individuals with interests to learn the principles, concepts and applications of data analytics, especially in healthcare settings

Eligibility Criteria

  • Minimum Polytechnic Diploma
This course is endorsed under Critical Infocomm Technology Resource Programme Plus (CITREP+) Programme.
To find out more about CITREP+ Funding, please refer to Programme Support under CITREP+ page

Information is accurate as of 3 July 2019