eHealth & Biomedical Informatics Methods

Subject INFO90001 (2016)

Note: This is an archived Handbook entry from 2016.

Credit Points: 12.5
Level: 9 (Graduate/Postgraduate)
Dates & Locations:

This subject has the following teaching availabilities in 2016:

October, Parkville - Taught on campus.
Pre-teaching Period Start not applicable
Teaching Period 24-Oct-2016 to 24-Nov-2016
Assessment Period End 24-Nov-2016
Last date to Self-Enrol 31-Oct-2016
Census Date 04-Nov-2016
Last date to Withdraw without fail 11-Nov-2016

Timetable can be viewed here. For information about these dates, click here.
Time Commitment: Contact Hours: 36 hours
Total Time Commitment:

200 hours

Study Period Commencement:
Credit Points:


Recommended Background Knowledge:


Non Allowed Subjects:


Core Participation Requirements:

For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry.

It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support:


Assoc Prof Kathleen Gray


Dr Kathleen Gray


Subject Overview:


This subject familiarises students with core informatics tools and methods used in eHealth, translational research, simulation and modelling, and biomedical knowledge management. It also provides students with insights into research trends in the field of biomedical informatics.

Indicative Content

Five major topics will be covered in lectures, tutorials and hands-on computer labs:

1. How can we manage clinical data? Students will gain exposure to: informatics tools and methods for ehealth and broadband-enabled health, including shareable medical records, telehealth, mobile health; terminologies, coding and standards e.g. SNOMED-CT, HL7A and secure messaging, medical imaging (DICOM) and lab data (LOINC); and clinical decision support systems.

2. How can we integrate clinical data with molecular, population, environmental and other data sources? Students will gain exposure to: informatics tools and methods for translational research, including genomic data sources (microarray and next generation DNA sequencing); data integration and analysis platforms such as BioGrid, CaBIG. Gene ontology; and clinical research informatics (clinical trials).

3. How can we use computer models to simulate human biology and disease? Students will gain exposure to: informatics tools and methods for simulation and modelling; anatomical ontologies (FMA); VPH and Physiome platform; and infodemiology tools, systems medicine, virtual environments for clinical practice.

4. How can we manage health and biomedical knowledge? Students will gain exposure to: informatics tools and methods for biomedical informatics research, including bibliographic and web information; MeSH, and databases; biomedical text mining; social and semantic web for health and life sciences; technology assessment; and systematic reviews and meta-analyses.

5. How can we develop the next generation of health and bioinformatics tools and methods? Students will gain exposure to trends and advances, including extreme phenotyping, informatics for personalised, regenerative and nanomedicine.

Learning Outcomes:

Intended Learning Outcomes (ILOs)

On completion of this subject the student is expected to:

  1. Describe key informatics tools and methods used in eHealth, translational research, simulation and modelling, health and biomedical knowledge management
  2. Map typical needs in eHealth, translational research, simulation and modelling, health and biomedical knowledge management onto specific informatics tools and methods
  3. Demonstrate an understanding of how clinical data is integrated with molecular, population, environmental and other data sources
  4. Demonstrate an understanding of how computer models simulate human biology and disease, through a variety of informatics tools and methods for simulation and modelling
  5. Work knowledgeably towards resolution of research challenges in the field of biomedical informatics.
  • Five written reports based on individual computer-based learning tutorials / practical activities (10% each) of approximately 500 words per report due weekly in week 1 to 5, requiring approximately 13-15 hours of work per student, including preparation. Intended Learning Outcomes (ILOs) 1 to 4 are addressed in these assignments.
  • One project report on a comparative study of two or more specific EHBI tools, or two or more specific EHBI methods, exact focus as negotiated with teaching staff (50%), comprising of: one class presentation of approximately 10 minutes duration due in week 5 and one written report of approximately 2000 words due two weeks after the last class, requiring approximately 70-75 hours of work per student. Group projects are optional; 1000 additional words and 5 additional minutes of class presentation are required for each extra person, i.e. 2 people = 3000 words +15 minute presentation; 3 people = 4000 words + 20 minute presentation, etc. Each group member commits approximately 70-75 hours of work and receives the same mark. ILOs 5 is addressed in the project report. ILO 1, 2, 3 or 4 may also be addressed dependent on topic.

Prescribed Texts:


Breadth Options:

This subject is not available as a breadth subject.

Fees Information: Subject EFTSL, Level, Discipline & Census Date
Generic Skills:

On completion of this subject, students should have developed the following generic skills:

  • Clear thinking
  • Improved reading
  • Enhanced ability to work in a team of people, and
  • Presentation skills

Learning and Teaching Methods

This subject is offered in intensive mode, with 6-8 hours of class each week over a five week period, including lectures and small group activities.

Opportunities are provided for online interaction during class using students’ personal internet-connected devices. 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:

Hunter, Peter, Coveney, Peter V., de Bono, Bernard et al 2010 A vision and strategy for the virtual physiological human in 2010 and beyond

Kharraz, Hadi, Chisholm, Robin, Van Nasdale, Dean and Thompson, Benjamin 2012 Mobile personal health records: an evaluation of features and functionality

Lobach, David, Sanders, Gillian D., Bright, Tiffani J. et al 2012 Enabling health care decision making through clinical decision support and knowledge management

Louie, Brenton, Mork, Peter, Martin-Sanchez, Fernando, Halevy, Alon and Tarczy-Hornoch, Peter 2007 Methodological review: data integration and genomic medicine

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.

Related Course(s): Doctor of Philosophy - Engineering
Master of Advanced Nursing
Master of Advanced Nursing Practice (Neonatal Intensive Care)
Master of Information Systems
Master of Information Systems
Master of Information Systems
Master of Information Technology
Master of Philosophy - Engineering
Related Majors/Minors/Specialisations: MIS Professional Specialisation
MIS Research Specialisation
MIT Health Specialisation

Download PDF version.