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This subject offers an overview of major health informatics methods and tools that contribute to quality improvement, scientific research and technological innovation in healthcare and biomedicine. The subject sets out the scientific foundations of digital health, and disciplined approaches to understanding the implications of digital health for health system performance.
The subject is arranged in blocks of study that examine methods and tools for:
1. Integrating and analysing structured and unstructured health data, including: wrangling phenome, genome, exposome and other omics data; scaling up clinical, translational and population health research on platforms; approaching artificial intelligence in medicine through data analytics techniques and machine learning
2. Modelling and simulating the dynamics of health conditions and health services, including: building personalised and population-level models of health and disease; mapping patient journeys, clinical workflows, and health supply chains; creating immersive environments for healthcare system learning and research
3. Managing exponential growth in health and biomedical knowledge, including: increasing openness in research data life cycle management; automating processes of publishing, reviewing, and synthesising evidence; assuring the quality of electronic decision support for clinicians and patients; producing sophisticated forecasts and scenarios of the future of health
4. Undertaking digital health research and innovation projects, including: justifying a project in pragmatic and conceptual terms; drawing on existing practice and knowledge; specifying and staging work packages; meeting needs for partnerships and resources; assuring socially and ethically responsible conduct; reporting progress rigorously and communicating for impact.
Intended learning outcomes
On completion of this subject, students should be able to:
- 1. Associate a range of real world health research and development needs with appropriate health informatics methods
- 2. Find, access and apply essential selected health informatics tools
- 3. Assess claims made in digital health research and innovation reports in terms of the quality of evidence
- 4. Form and communicate a view of medium and long term trends in a specific area of health information and communication technology
- Systems thinking
- Working with scientific and grey literature
- Research planning and communication
- Group-based learning
Last updated: 29 April 2020