Health Data, Information and Knowledge (ISYS90078)
Graduate courseworkPoints: 12.5On Campus (Parkville)
Overview
| Availability | Semester 2 |
|---|---|
| Fees | Look up fees |
AIMS
This subject develops familiarity with fundamental aspects of health information science and health information management – how health data is generated, collected, stored, communicated, integrated, analysed and converted into knowledge for clinical, research and administrative purposes.
INDICATIVE CONTENT
Lectures and tutorials will cover five topics:
1. Data Sources in Health
- Special features of biomedical and clinical data
- Types of data (clinical, molecular, images, environmental)
- Generation of biomedical and clinical data (clinical devices, laboratory equipment, populational surveys, sensors)
- Data repositories (Bioinformatics databases, literature, evidence-based practice, clinical databases)
2. Information Modelling in Health
- Modelling health information and clinical information systems
- Accessing and retrieving information
- Standards in healthcare (nomenclatures, terminologies, taxonomies, vocabularies and ontologies) MeSH terms, SNOMED-CT, LOINC, ICD9, ICD10, UMLS
- Standards organizations in Australia and worldwide
3. Information Processing in Health
- Information processing in biomedicine, healthcare and population health.
- Main software tools and methods, with a focus on clinical research, computerised physician order entry (CPOE) in hospitals, disease surveillance
4. Information Analysis and Visualization in Health
- Visualising information
- Knowledge management and discovery
5. Change Management in Health IT
- Management change and adoption
- Regulatory framework, ethical, security and privacy issues
Intended learning outcomes
INTENDED LEARNING OUTCOMES (ILOs)
On completion of this subject the student is expected to:
- Communicate technical understanding of specific characteristics and processes involved in managing health data, information and knowledge
- Demonstrate an integrated understanding of how health data is generated, collected, stored, communicated, integrated, analysed and converted into knowledge for clinical, research and administrative purposes
Generic skills
On completion of this subject, students should have developed the following generic skills:
- Understanding of global issues relating to health
- The ability to work across different disciplines
- Excellent in-depth knowledge to support responsible leadership
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
Either
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| ISYS90069 | eHealth & Biomedical Informatics Systems | Semester 1 (On Campus - Parkville) |
12.5 |
Or
| Code | Name | Teaching period | Credit Points |
|---|---|---|---|
| HLTH90006 | Basics of Digital Health for Clinicians |
Semester 1 (Online)
Semester 2 (Online)
|
12.5 |
Corequisites
None
Non-allowed subjects
None
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 3 November 2022
Assessment
Additional details
- A three part report addressing an aspect of health data management covered in class, progressively written over approximately 12 weeks, each part of approximately 1000 words and worth 25%. Report part one is due in week 5. Report part two is due in week 8. Third, cumulative report is due in week 12, requiring approximately 98 - 105 hours of work (75%)
- One written 2 hour open book online examination equivalent to approximately 1000 words. Due for completion online during the 2 week period following the last class, requiring approximately 33 - 36 hours of work (25%)
Last updated: 3 November 2022
Dates & times
- Semester 2
Principal coordinator Kathleen Gray Mode of delivery On Campus (Parkville) Contact hours 36 hours Total time commitment 200 hours Teaching period 29 July 2019 to 27 October 2019 Last self-enrol date 9 August 2019 Census date 31 August 2019 Last date to withdraw without fail 27 September 2019 Assessment period ends 22 November 2019 Semester 2 contact information
Dr Kathleen Gray
email: kgray@unimelb.edu.au
Time commitment details
200 hours
Last updated: 3 November 2022
Further information
- Texts
- Subject notes
LEARNING AND TEACHING METHODS
This subject is offered asone 3-hour block of two 1- hour lectures plus one 1- hour tutorial per week over 12 weeks.
Subject documents and class records are handled using LMS Blackboard.
INDICATIVE KEY LEARNING RESOURCES
This subject has no textbook. Students have access to lecture audio and slides in the LMS, as well as electronic full-text of recommended readings, including current journal articles, government documents and industry reports. 2012 examples of recommended readings are:
Cohen, A., Adams, C., Davis, J., Yu, C., Yu, P., Meng, W., Duggan, L., McDonagh, M., & Smalheiser, N. (2010). Evidence-based medicine, the essential role of systematic reviews, and the need for automated text mining tools. Pp. 376-380. In Proceedings of IHI’10, November 11-12 2010, Arlington Virginia USA.
Collen, M. (2012). Computer Medical Databases: The First Six Decades (1950-2010). Springer, London.
Ferlie, E., Crilly, T., Jashapara, A., & Peckham, A. (2012). Knowledge mobilization in healthcare: A critical review of health sector and generic management literature. Social Science & Medicine 74, 1297-1304.
Musen, M., Noy, N., Shah, N., Whetzel, P., Chute, C., Story, M.-A., Smith, B. & the NCBO team. (2012). The National Center for Biomedical Ontology. Journal of the American Medical Informatics Association, 19, 190-195.
Shilton, K. (2012). Participatory personal data: An emerging research challenge for the information sciences. Journal of the American Society for Information Science and Technology, [in press 34pp.]
CAREERS/INDUSTRY LINKS
This subject is important in the field of eHealth and biomedical informatics, i.e. work that concerns the acquisition, storage, retrieval and use of information in, about and for human health, and the design and management of related solutions to advance the understanding and practice of healthcare. This subject is offered jointly by the Faculty of Engineering and the Faculty of Medicine, Dentistry and Health Sciences, and also uses expert guest speakers from industry and government. In particular, this subject addresses the core components of major national and international certification programs such as the Health Information Management and Systems Society (HIMSS) and the Certified Health Information Australasia (CHIA).
- Related Handbook entries
This subject contributes to the following:
Type Name Course Graduate Certificate in Health Informatics and Digital Health Course Ph.D.- Engineering Course Master of Philosophy - Engineering Course Doctor of Philosophy - Engineering - Available through the Community Access Program
About the Community Access Program (CAP)
This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.
Please note Single Subject Studies via Community Access Program is not available to student visa holders or applicants
Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.
Additional information for this subject
Subject coordinator approval required
- Available to Study Abroad and/or Study Exchange Students
Last updated: 3 November 2022