Have you ever thought what your smart watch and your GP might have in common? They could both collect your medical data. In this module, you will explore the cutting-edge technologies used in the delivery of healthcare, from wearable devices and sensors for data collection, to digital platforms used in hospitals and care environments. You will understand the use of information technology for handling clinical data in health systems and learn different and exciting ways in which clinicians use historical and present test data to identify the best outcome for their patients. You will explore some basic principles of machine learning algorithms for analysing medical data and learn how to create a start-up in health care domains, from proposing an innovative idea for an eHealth product and seeking funding opportunities for it, to planning the project of producing and marketing this new product.
(Lectures, Classes) 33
Essay (2,000 words) worth 25%.
Group project report and Presentation worth 25%.
Examination (2-hours) worth 50%.
Reassessment Method: Like-for-like Including composite form of reassessment for failed coursework components – written 2,000-word essay, and Examination.
On successfully completing the module, students will be able to:
Critically evaluate the eHealth and related concepts in the use of information and communication technologies in healthcare.
Interpret various strategies used in the design, implementation and evaluation of eHealth systems.
Critically evaluate various eHealth systems and tools used in the delivery of healthcare, and formulate solutions for new ones to be developed.
Assess and compare different types of medical data and different frameworks for effective health information management, and be able to evaluate how to apply a given framework for a specific purpose.
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