Certificate of Achievement
has completed the following course:
Data Science for Healthcare: Using Real World Evidence
EIT InnoEnergy and EIT Health
On this course you examined how real world evidence can be used in healthcare, exploring current trends and existing methodologies for using it. You considered ethics, design thinking, commercial applications, and the limitations of RWE. You also practiced using RWE, applying a user-friendly business intelligence tool to examine RWD.
5 weeks, 5 hours per week
Edward Meinert
Sir David Cooksey Fellow in Healthcare Translation
EIT InnoEnergy
Transcript
Learning outcomes
- Apply knowledge in fundamentals of Real World Data (RWD) and Real World Evidence (RWE) to include definitions, scope, pros and cons, and potential use
- Apply knowledge of information governance requirements and policy with regard to patient data as well as knowledge of key datasets that RWE can exploit across primary and secondary care (HES/CPRD)
- Identify RWD and RWE studies and understand the difference what is RWE and what is not
- Classify the essential theory of using RWE with data science, and key differences between using RWE with and without data science
- Classify different data investigation tasks and the most appropriate algorithms for selecting/addressing them
- Apply appropriate data analytic techniques to a problem using an RWE framework (decision tree) further to practical group sessions thereby demonstrating an understanding of knowledge gained
- Calculate experiments using exploratory analysis of RWD (structured data)
- Evaluate RWD, models or algorithms for accuracy in order to make an informed decision with regard to their use
- Compare current RWD trends and formulate ideas on how to improve data literacy
- Interpet datasets and identify which meet open data criteria
- Develop a RWD project proposal to be positioned to your organisation lead, identifying a problem and the key aims and objectives to solve the issue
Syllabus
Week 1 - Principles of Real World Evidence, Health and How they Align
Week 2 - Information Governance and Data Results Deployment
Week 3 - Design Thinking, Methodology and Framework
Week 4 - Analysing Real World Data using Business Intelligence
Week 5 - Developing Real World Evidence from Real World Data
Issued on 2nd October 2019
The person named on this certificate has completed the activities in the transcript above. For more information about Certificates of Achievement and the effort required to become eligible, visit futurelearn.com/proof-of-learning/certificate-of-achievement.
This certificate represents proof of learning. It is not a formal qualification, degree, or part of a degree.