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Health Informatics Methods (INFO90001)
Graduate courseworkPoints: 12.5Dual-Delivery (Parkville)
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.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Semester 2
Daniel Capurro
Overview
Availability | Semester 2 - Dual-Delivery |
---|---|
Fees | Look up fees |
This subject offers an overview of major health informatics research areas and methods that contribute to quality improvement, scientific research, and technological innovation in healthcare and biomedicine. The subject sets out the scientific foundations of digital health, and disciplined approaches to understanding the implications of digital health for health system performance.
The subject is arranged in blocks of study that examine methods for: (a) Undertaking digital health research and innovation projects, including: justifying a project in pragmatic and conceptual terms; drawing on existing practice and knowledge; specifying and staging work packages; meeting needs for partnerships and resources; assuring socially and ethically responsible conduct; reporting on progress rigorously and communicating for impact; (b) Managing exponential growth in health and biomedical knowledge, including: increasing openness in research data life cycle management; automating processes of generating, synthesising, and translating evidence; assuring the quality of electronic decision support systems for clinicians and patients; producing sophisticated forecasts and scenarios of the future of health; (c) Analysing structured and unstructured health data, including: wrangling phenome, exposome and other omics data; scaling up clinical, translational and population health research on platforms; approaching artificial intelligence in medicine through data analytics techniques and machine learning; (d) Modelling and simulating the dynamics of health conditions and health services, including: building personalised and population-level models of health and disease; mapping patient journeys, clinical workflows, and health supply chains; creating immersive environments for healthcare system learning and research.
Intended learning outcomes
On completion of this subject, students should be able to:
- Associate a range of real-world health research and development needs with appropriate health informatics methods
- Identify, access and apply essential, selected health informatics tools
- Assess claims made in digital health research and innovation reports in terms of the quality of evidence
- Form and communicate a view of medium and long term trends in a specific area of health information and communication technology
Generic skills
- Systems thinking
- Working with scientific and grey literature
- Research planning and communication
- Group-based learning
Last updated: 31 January 2024
Eligibility and requirements
Prerequisites
One of
Code | Name | Teaching period | Credit Points |
---|---|---|---|
HLTH90006 | Basics of Digital Health for Clinicians | Not available in 2024 |
12.5 |
ISYS90069 | Digital Transformation of Health |
Semester 1 (Online)
July (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: 31 January 2024
Assessment
Description | Timing | Percentage |
---|---|---|
Four written reports of individual work on assigned practical activities (10% each, 40% in total) of approximately 500 words per report; 2000 words total. Requiring approximately 30-35 hours. Due weekly in weeks 3, 6, 9 & 12. Intended Learning Outcomes (ILO's) 2 and 3 are addressed in the written reports.
| Due weekly in weeks 3, 6, 9, 12. | 40% |
One major group project report. Work will be done in groups allocated by the course instructor to ensure diversity and enhance peer-learning. This assessment has two parts, one in-class presentation of 15 minutes PLUS a written project report of approximately 4000 words. Class presentation is due in week 12. Written report due in week 14. This written report requires approximately 70-75 hours. ILO's 1 and 4 are addressed in class presentation and major project report.
| From Week 12 to Week 14 | 50% |
Weekly online quizzes on assigned materials (readings, video lectures, etc). Students may eliminate the two worst quizzes. ILO's 1 to 4 are addressed in the quizzes administered during class.
| During the teaching period | 10% |
Last updated: 31 January 2024
Dates & times
- Semester 2
Principal coordinator Daniel Capurro Nario Mode of delivery Dual-Delivery (Parkville) Contact hours 36 hours Total time commitment 200 hours Teaching period 26 July 2021 to 24 October 2021 Last self-enrol date 6 August 2021 Census date 31 August 2021 Last date to withdraw without fail 24 September 2021 Assessment period ends 19 November 2021 Semester 2 contact information
Daniel Capurro
Time commitment details
200 hours
Last updated: 31 January 2024
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
- Subject notes
LEARNING AND TEACHING METHODS
This subject is offered in semester 2 each year, as a 3 hour class one evening each week over a 12 week period, including lectures, tutorials and small group activities. Opportunities are provided for online interaction during class using students’ personal internet-connected devices.
Classroom teaching is complemented by a subject website in the University Learning Management System. Students unable to attend class on campus can participate each week, by going online to access lecture slides and recordings, undertake practical activities, and complete assessable work.INDICATIVE KEY LEARNING RESOURCES
This subject has no textbook. Students have access to electronic full-text of recommended readings, including current journal articles, government documents and industry reports. Examples:
Dahlin, S., Eriksson, H., & Raharjo, H. (2019). Process mining for quality improvement: propositions for practice and research. Quality Management in Healthcare, 28(1), 8-14.
Enam, A., Torres-Bonilla, J., & Eriksson, H. (2018). Evidence-based evaluation of eHealth interventions: systematic literature review. Journal of Medical Internet Research, 20(11), e10971. Full-text open access URL: https://www.jmir.org/2018/11/e10971
Gianfrancesco, M. A., Tamang, S., Yazdany, J., & Schmajuk, G. (2018). Potential biases in machine learning algorithms using electronic health record data. JAMA Internal Medicine, 178(11), 1544-1547.
Van de Velde, S., Kunnamo, I., Roshanov, P., Kortteisto, T., Aertgeerts, B., Vandvik, P. O., & Flottorp, S.(2018). The GUIDES checklist: development of a tool to improve the successful use of guideline-based computerised clinical decision support. Implementation Science, 13(1), 86.
Wong, A., Young, A. T., Liang, A. S., Gonzales, R., Douglas, V. C., & Hadley, D. (2018). Development and validation of an electronic health record–based machine learning model to estimate delirium risk in newly hospitalized patients without known cognitive impairment. JAMA Network Open, 1(4), e181018. Full-text open access URL: https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2695078
CAREERS/INDUSTRY LINKS
This subject provides advanced knowledge and practical skills to work in digital health. This subject is offered jointly by the Faculty of Engineering and the Faculty of Medicine, Dentistry and Health Sciences, and makes local and international links with accomplished researchers and with experts from public and private sector organisations.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Doctor of Philosophy - Engineering Course Graduate Certificate in Health Informatics and Digital Health Course Ph.D.- Engineering Course Master 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.
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
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 31 January 2024