eHealth & Biomedical Informatics Methods (INFO90001)

Graduate courseworkPoints: 12.5On Campus (Parkville)

You’re viewing the 2017 Handbook:
Or view archived Handbooks
You’re currently viewing the 2017 version of this subject

Overview

Availability
Semester 2
FeesLook up fees

AIMS

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.

Intended learning outcomes

INTENDED LEARNING OUTCOMES (ILOs)


On completion of this subject the student is expected to:



  • Describe key informatics tools and methods used in eHealth, translational research, simulation and modelling, health and biomedical knowledge management
  • Map typical needs in eHealth, translational research, simulation and modelling, health and biomedical knowledge management onto specific informatics tools and methods
  • Demonstrate an understanding of how clinical data is integrated with molecular, population, environmental and other data sources
  • Demonstrate an understanding of how computer models simulate human biology and disease, through a variety of informatics tools and methods for simulation and modelling
  • Work knowledgeably towards resolution of research challenges in the field of biomedical informatics

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

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 Clinical Informatics and Digital Health
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

  • Five written reports based on individual computer-based learning tutorials / practical activities (10% each) of approximately 500 words per report; 2500 words total. Due weekly in weeks 2, 4, 6, 8 & 10 (50%)

  • One project report on a comparative study of two or more specific EHBI tools, or two or more specific EHBI methods, comprising : one class presentation of approximately 10 minutes duration and one written report of approximately 2000 words. Class presentation due in week 11 or 12 as assigned. Written report due two weeks after the last class (50%)

Hurdle Requirement: To pass the subject, students must obtain:

  • at least 50% of the total marks available in the tutorial / practical reports
  • at least 50% of the marks available in the project report

 

Last updated: 3 November 2022

Dates & times

  • Semester 2
    CoordinatorKathleen Gray
    Mode of deliveryOn Campus (Parkville)
    Contact hours36 hours
    Total time commitment200 hours
    Teaching period24 July 2017 to 22 October 2017
    Last self-enrol date 4 August 2017
    Census date31 August 2017
    Last date to withdraw without fail22 September 2017
    Assessment period ends17 November 2017

    Semester 2 contact information

    Dr Kathleen Gray

    email: kgray@unimelb.edu.au

Time commitment details

200 hours

Last updated: 3 November 2022

Further information

Last updated: 3 November 2022