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PU5532: HEALTH INFORMATICS (2023-2024)

Last modified: 23 Jul 2024 10:43


Course Overview

We live in a time of ‘Big Data’ with the rapid growth in the digital capture of health information. Health Informatics is the science of data capture, linkage and analysis of large datasets to improve health. The demand for health researchers with training and experience in health informatics is high. For people practicing in Public Health, it is a key skill. It will equip students for any career in health research or public health practice and this course is an excellent stepping stone for those wishing to develop a specialist interest in the field.

Course Details

Study Type Postgraduate Level 5
Term Second Term Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Professor Lesley Anderson

What courses & programmes must have been taken before this course?

  • Any Postgraduate Programme

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

Are there a limited number of places available?

No

Course Description

The aim of the course is to support students to critically understand the breadth of Health Informatics, the opportunities to utilise health informatics research to benefit public health and healthcare, the legal and ethical challenges and key methodological considerations.

The course covers the core concepts of health informatics research including data sources, data gathering, data quality, ethics and governance, linkage, and data specification. It will prepare students with the core skills and knowledge that will be required to undertake basic data linkage and health informatics research. Exemplars will be used to support discussions of the breath of health informatics research.

Upon successful completion of this course students will be able to:

  1. Describe the relevance of health informatics in research and to public health and care
  2. Demonstrate an understanding of the ethical, confidentiality, data protection and information governance issues relating to Health Informatics Research and population statistics
  3. Identify key data resources for understanding health
  4. Undertake and understand the principles of data linkage
  5. Produce a data specification for a data linkage study

Details, including assessments, may be subject to change until 30 August 2024 for 1st term courses and 20 December 2024 for 2nd term courses.

Summative Assessments

Final Report

Assessment Type Summative Weighting 80
Assessment Weeks Feedback Weeks

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Feedback

Written feedback will be provided.

Learning Outcomes
Knowledge LevelThinking SkillOutcome
ProceduralApplyUnderstand and apply health informatics in research and to public health and care
ProceduralCreateCreate a data specification for a data linkage study
ProceduralEvaluateUnderstand and apply the principles of data linkage
ReflectionEvaluateEvaluate key data resources for understanding health
ReflectionEvaluateUnderstand and evaluate the ethical, confidentiality, data protection and information governance issues relating to Health Informatics Research and population statistics

Online Test

Assessment Type Summative Weighting 20
Assessment Weeks Feedback Weeks

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Feedback
Learning Outcomes
Knowledge LevelThinking SkillOutcome
ProceduralApplyUnderstand and apply health informatics in research and to public health and care
ReflectionEvaluateUnderstand and evaluate the ethical, confidentiality, data protection and information governance issues relating to Health Informatics Research and population statistics

Formative Assessment

MRC Governance Training Quiz

Assessment Type Formative Weighting
Assessment Weeks Feedback Weeks

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Learning Outcomes
Knowledge LevelThinking SkillOutcome
ReflectionEvaluateUnderstand and evaluate the ethical, confidentiality, data protection and information governance issues relating to Health Informatics Research and population statistics

Developing a Research Question

Assessment Type Formative Weighting
Assessment Weeks Feedback Weeks

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Learning Outcomes
Knowledge LevelThinking SkillOutcome
ProceduralCreateCreate a data specification for a data linkage study
ProceduralEvaluateUnderstand and apply the principles of data linkage

Resit Assessments

Oral Exam

Assessment Type Summative Weighting 100
Assessment Weeks Feedback Weeks

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Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
ReflectionEvaluateEvaluate key data resources for understanding health
ProceduralCreateCreate a data specification for a data linkage study
ProceduralEvaluateUnderstand and apply the principles of data linkage
ReflectionEvaluateUnderstand and evaluate the ethical, confidentiality, data protection and information governance issues relating to Health Informatics Research and population statistics
ProceduralApplyUnderstand and apply health informatics in research and to public health and care

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