Last modified: 23 Jul 2024 10:43
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.
| Study Type | Postgraduate | Level | 5 |
|---|---|---|---|
| Term | Second Term | Credit Points | 15 credits (7.5 ECTS credits) |
| Campus | Aberdeen | Sustained Study | No |
| Co-ordinators |
|
||
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:
| Assessment Type | Summative | Weighting | 80 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback |
Written feedback will be provided. |
|||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Procedural | Apply | Understand and apply health informatics in research and to public health and care |
| Procedural | Create | Create a data specification for a data linkage study |
| Procedural | Evaluate | Understand and apply the principles of data linkage |
| Reflection | Evaluate | Evaluate key data resources for understanding health |
| Reflection | Evaluate | Understand and evaluate the ethical, confidentiality, data protection and information governance issues relating to Health Informatics Research and population statistics |
| Assessment Type | Summative | Weighting | 20 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Procedural | Apply | Understand and apply health informatics in research and to public health and care |
| Reflection | Evaluate | Understand and evaluate the ethical, confidentiality, data protection and information governance issues relating to Health Informatics Research and population statistics |
| Assessment Type | Formative | Weighting | ||
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Reflection | Evaluate | Understand and evaluate the ethical, confidentiality, data protection and information governance issues relating to Health Informatics Research and population statistics |
| Assessment Type | Formative | Weighting | ||
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Procedural | Create | Create a data specification for a data linkage study |
| Procedural | Evaluate | Understand and apply the principles of data linkage |
| Assessment Type | Summative | Weighting | 100 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
|
|
||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Reflection | Evaluate | Evaluate key data resources for understanding health |
| Procedural | Create | Create a data specification for a data linkage study |
| Procedural | Evaluate | Understand and apply the principles of data linkage |
| Reflection | Evaluate | Understand and evaluate the ethical, confidentiality, data protection and information governance issues relating to Health Informatics Research and population statistics |
| Procedural | Apply | Understand and apply health informatics in research and to public health and care |
We have detected that you are have compatibility mode enabled or are using an old version of Internet Explorer. You either need to switch off compatibility mode for this site or upgrade your browser.
