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This level one module introduces the key concepts and theories of health informatics. A broad approach to the basic elements of health informatics will be explored in the form of the patient journey through healthcare.
The module aims to raise the awareness of students about scientific computing in the field of health data science. It focuses on basic software development workflows, tools, and skills that health data scientists most often employ. Students will also learn about the professional context within which health data scientists operate. Module leader is Dan Thayer
Health data scientists are expected to work with diverse data sources. Modelling data encompasses setting up database models and analysing the data using statistical models. The objective of this module is to raise the awareness of students about the various processes of data modelling and the key operations involved in the data processing of large and diverse datasets. Module leader is Dr Joanne Demmler
In this module, students will study the skills required by the professional health informatician with an introduction to information governance, including privacy and the maintenance of confidentiality, data security, legislation, ethical considerations, and current UK and global eHealth strategies. Students will also begin to develop their academic skills in literature searching, the critical evaluation of research literature and reflective practice.
In this module, students will learn about communication and communication systems. This will include a study of electronic health records and clinical coding systems. Academic skills are developed and enhanced by an introduction to qualitative research methods.
Health data scientists are expected to work with diverse data sources. Modelling data encompasses setting up database models and analysing the data using statistical models. The objective of this module is to raise the awareness of students about the various processes of data modelling and the key operations involved in the data processing of large and diverse datasets. This is a core / compulsory module and worth 20 Masters level credits. Module leader is Dr Joanne Demmler
Students will study data quality and management, secondary uses of clinical data, service improvement and clinical audit. Academic skills are developed and enhanced by an introduction to quantitative research methodologies. Students will be introduced to statistical software such as SPSS.
In this module, students will study the information systems & technologies used in health informatics projects and their implementation. These include: networks; the Internet; integrated communications; mobile communications; health information systems. Academic skills are further developed by studying how systematic reviews of literature are undertaken.
In this module, students will study knowledge management in health care environments. The themes covered will include: clinical decision-making; decision support systems; workflow management; web site design. Students will study experimental research designs.
In this module, students will develop their research skills by learning how to write a research proposal and prepare for the research dissertation.
This module concentrates on leadership in project management, and examines contemporary project management methodologies, strategies and the skills required for effective project management. Students must have prior knowledge of Project Management techniques before commencing this specialised course, so you are advised to check with the module leader before enrolling to ensure you meet the criteria for entry.
This module builds on the knowledge and skills developed in part one of the course. Students will work independently in order to critically explore and add to the evidence base for a topic of relevance to health informatics.
In this module students use work based learning and experience in the construction of a work based portfolio, which will reflect on the leadership of a health informatics project.