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The Digital Health Landscape (GBSH0045)

Key information

Faculty
Faculty of Population Health Sciences
Teaching department
Global Business School for Health
Credit value
15
Restrictions
This module is only available for students within the Global Business School for Health
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

In this module, students will explore the rapidly expanding sectors to the Digital Health Economy. Through this exploration, students will be exposed to the various developing subdomains such as concepts of Big Data for Medicine, AgeTech, FemTech, EMR, and blockchain applications. Through this module, students will acquire a clear understanding of the development of digital IP, the development cycle abyss, and areas of active innovation within each area. These topics will be presented in a way that the learner would be able to critique future products and assess properly what stage they are at, and what methods would be needed to move this idea over the abyss to a function product. This process will be covered in multiple parts to cover the development of data analysis software, database development and curation, digital health (telemedicine) and robotics and other device development.Ìý

Aims of the moduleÌý

  • Engage with the current landscape for digital development including the background of software as medical device, database development, digital healthcare and traditional hardware device developmentÌý

  • Understand the principles, processes and contexts of harnessing big data,Ìý

  • Understand the landscape regarding development and protection of intellectual property and copyright in the digital age, and the frameworks which inform theseÌý

  • Understand the principles and processes of hardware and software development,Ìý commercial development in both and how the entrepreneurship environments for each are similar and differentÌý

  • Develop their capacity to identify, evaluate and integrate digital developments within an enterprise scenarioÌý

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Module deliveries for 2024/25 academic year

Intended teaching term: Term 1 ÌýÌýÌý Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Intended teaching location
¹û¶³Ó°Ôº East
Methods of assessment
40% Other form of assessment
60% Coursework
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
98
Module leader
Professor Nora Colton
Who to contact for more information
educationgbsh@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

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