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Certificate of Achievement
has completed the following course:
EIT InnoEnergy and EIT Health
This online course explored the intersection of data analytics and healthcare. It applied common frameworks and key concepts in data analytics, systems theory and information governance.
4 weeks, 4 hours per week
Edward Meinert
Head of Digital Education Research, Global eHealth Unit
Imperial College London
Transcript
Learning outcomes
- Explore healthcare data and understand key terminology and concepts.
- Identify key data challenges currently facing healthcare.
- Identify current trends and approaches in dealing with challenges and limitations related to healthcare data.
- Investigate how continual adjustments to data-centric health systems can be embedded within such systems to improve healthcare and health analytics.
- Assess the tension between competing interests and needs of stakeholders in relation to the analysis of healthcare data.
- Identify changes in medicine over the last 20 years.
- Assess the objectives of personalised medicine and the way data aggregation is impacting its development.
- Discuss the relationship between digital health and consumerisation of healthcare data.
- Develop a project proposal that identifies a problem, and address the key aims and objectives in solving the issue.
Syllabus
- What is healthcare data? Why is it important? What are the current challenges?
- How to address the unique data challenges facing healthcare.
- How can data impact healthcare innovation?
- How to develop a healthcare data proposal.
Issued on 18th December 2017
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.