The module introduces key concepts in different health data types and modalities and presents an overview of how health data science can revolutionise the utilisation of the relatively untapped resource of healthcare data and patient-specific genome information for research. The module will provide students with an overview of the foundations of data governance and ethical implications as well as discuss patient and public Involvement and informed consent. Students will explore clinical decision support systems and their applications. Students will also be introduced to the fundamentals of various ‘omics fields and gain an understanding of their role in unveiling disease pathobiology and pathophysiology to facilitate patient /disease stratification. The module will enable students to gain an understanding of the fundamentals, challenges, as well as limitations of utilising health data and their value in the healthcare sector.
Learning Outcomes
By the end of the module students should be able to:
Demonstrate analytical knowledge and understanding of the main concepts of health data science
Demonstrate knowledge and understanding of the foundations of governance & ethics, and evaluate clinical decision support systems
Understand, employ, and appraise the different data types and different data modalities that are commonly employed in health data science analytics
Demonstrate knowledge and understanding of the various omics related fields and appraise how their analysis and their synthesis outcomes can provide meaningful information for families affected by inherited/acquired conditions
Assessment: The course assessment components will include the following: • Essay: o 60% (2000-3000 words) • Presentation o 40% (10 mins) Students need to pass both components (50% or above in each component).
