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HLA Workshop 1 April 2015 The Health and Biomedical Informatics Centre (HaBIC) A/Prof. Karin Verspoor Deputy Director Health and Biomedical Informatics Centre (HABIC)

Health and Biomedical Informatics Centre @ The University of Melbourne

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HLA Workshop 1 April 2015

The Health and Biomedical Informatics Centre (HaBIC)

A/Prof. Karin Verspoor Deputy Director

Health and Biomedical Informatics Centre (HABIC)

Activities

•  Education •  Translational Research Informatics •  E-Health and Participatory Health

Research •  Informatics for Precision Medicine

Research •  Engagement

FMDHS+MSE+IBES

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Education

HaBIC and UoM education strategy in HBI

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Translational Research Informatics

Background: HABiC R2 Rationale and Aims

The aim of the R2 Unit is to help span the divide between IT and health & biomedical domain-specific knowledge and expertise to support health and biomedical research.

R2 can do this through the provision of: •  expertise in navigating the complexities of negotiating access to health data.

(medical ethics, confidentiality, policy) •  tools to facilitate health data collection (GRHANITE, REDCap...) •  tools to support researchers manage their health research data (i2b2...) •  expertise in working with complex health datasets and in the interpretation of data

from such sources.

Researcher

Hospital data

GP, labs, pharmacies data

Researcher-entered data

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E-Health and Participatory Health Research

HaBIC’s ehealth and participatory health research

Ehealth research:

Questions of changing professional practice & quality of care

Examples of our projects: •  How can we ensure that next gen professionals are discerning users of

data, information, knowledge and technologies? National interprofessional review of learning, teaching and assessment of ehealth in universities.

•  How can we plan for providers’ high-capacity broadband requirements for future health services delivery? Scenarios based on in-depth review of network requirements and performance priorities with health CIOs

•  Could we learn more, sooner about good practice by evaluating the plethora of pilots more systematically? A framework that includes patients / clinicians / health service manages / IT managers; sets of metrics derived from Australian criteria

•  What is the disruptive potential of internet based telehealth? A study of consumer and provider perspectives on direct-to-consumer online medical consultation services

Some of our partners: Commonwealth Office of Learning and Teaching, University of Queensland, University of Western Sydney, Curtin University, Australian Centre for Health Innovation, Melbourne Health, Royal Children’s Hospital, Wangaratta Health, Royal District Nursing Service, Victorian eResearch Strategic Initiative, IT industry partners

Participatory health research: Questions of self-help and health outcomes

Examples of our projects:

•  MAR on your smartphone or tablet – can it engage people in the street in

greater interaction with biomedical and healthcare research in the Parkville Precinct? Interface prototype, information architecture, field trials.

•  Internet protocol TV with web 2.0 personalisation, in your home – can it educate people with low health literacy and low Internet literacy about how to manage their chronic disease? Technical integration; process modelling; consumer and provider acceptance testing.

•  Social media platforms and tools – what is the evidence that they work, and what is the mechanism by which they work, for people who are using them to manage their chronic disease? Review of platforms; international user survey; RCT pilot study.

•  Self-quantification devices and apps – can they support personal health self-management effectively at scale? S-Q laboratory & user guide; PHR and EHR integration testing; international user survey; clinical trial by very obese pregnant women

Some of our partners:

Major biomedical research institutes; Melbourne Health; Sunshine Hospital; Diabetes Australia-Vic; Melbourne Quantified Self Group; Universita della Svizzera Italiana

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Informatics for Precision Medicine Research

Informatics for Precision Medicine

Informatics approaches to facilitate precision medicine •  Integration and analysis of data coming from different

sources (molecular, genomic and clinical sources) and technologies (microarrays, RNA-Seq, DNA-Seq) with a special focus in transcriptomic analyses.

Informatics for Precision Medicine

Exposome Informatics –  Analysis of the new informational

requirements for these new data sources

– Development of new systems and methods for managing these data and support biomedical research

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Engagement

Engagement

© Copyright The University of Melbourne 2015

Thank you for your attention!