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The module will provide students with a systematic knowledge of how various digital health technologies work and practical application of digital technology to support health-real life information provision. There will be a focus on key technologies that will drive digital transformation such as mHealth, teleconsultation, interoperability and AI (artificial intelligence). Students will get an in-depth understanding of current and emerging approaches, concepts and issues in AI and digital health, including the nuts-and-bolts of an AI pipeline, safe-AI technologies, big data, the future of privacy, the ethics of data collection in everyday life, as well as the opportunities and challenges of bringing AI technologies to practice in healthcare applications. Students will be exposed to the key terminology and framework for how different AI technical development environments work, their strengths and limitations. The students completing this course, should be able to identify the key environments needed and be able to design bespoke evaluations to optimise the design-train-test loop for their future innovation projects.

On successful completion of this module, a student will be able to:

· independently evaluate and analyse different healthcare technologies in terms of impact on patient outcomes and/or implementations at the institutional level.

· demonstrate critical thinking innovatively and strategically about the use of healthcare technology.

· contextualize and understand the drivers for the use of digital solutions particularly but not exclusively in the NHS.

· demonstrate knowledge and understanding of the concept of eHealth, mHealth and Telecare.

· develop ways in which eHealth, mHealth and Telecare technologies are tested and applied within healthcare organizations.

· critically synthesize and analyse research evidence to support evaluation of digital health solutions.