Please refer to the return to campus page for more information on these delivery modes and students who can enrol in each mode based on their location in first half year 2021.
|Fees||Look up fees|
This subject develops familiarity with technical and administrative aspects of health information science – when, why and how health data can be generated, collected, stored, communicated and integrated to inform patient care, health research and health services management. It provides an overview of the knowledge and tools that are essential for managing and governing digital patient record data for primary and secondary uses.
Lectures and tutorials cover four major topics: (a) Structuring health data in the era of big data in healthcare; (b) Managing and governing electronic health and medical records for safety and quality of care, including: standards, terminologies and mapping approaches applicable to clinical data and clinical documentation; (c) Structural and semantic interoperability to support data use for connected care and population health, including: Fast Healthcare Interoperability Resources (FHIR); (d) Managing and governing secondary use of data, including health services administration and health research, including: approaches to data privacy and security, repositories, retrieval, quality assessment, and linkage.
Intended learning outcomes
On completion of this subject the student is expected to:
- Explain the roles of a range of information standards and protocols in ensuring the quality of patient health data
- Analyse relative merits of various ways in which different health information systems record patient data, and explain how such data can be mapped
- Demonstrate understanding of different levels of interoperability among health information systems, and explain uses of methods and tools for optimising the value of patient data through exchange between systems
- Critically interpret typical requirements for retrieval and re-use of patient data for purposes other than clinical care, and propose refinements that reflect advances in approaches to digital health data analysis
- Demonstrate integration and application of health data management principles in the design of new health information systems
On completion of this subject, students should have developed the following generic skills:
- Effective communication of data requirements
- Understanding of global issues relating to health
- The ability to work across different disciplines
- Excellent in-depth knowledge to support responsible leadership
Last updated: 18 December 2020