Health Informatics

Used for supporting researchers to manage research related data


You need to login or register to bookmark/favorite this content.

Post author: mcats. Last update: 25/02/2016 at 3:34 pm by mcats.




Service overview

In recognition of the need to the University has invested in a number of software and web-based applications

. GRAHNITE™, REDCap™, and Biogrid are all applications that are available through the University of Melbourne.

Additional info

Our team have significant bioinformatics skills:

Informatics for Precision Medicine
Biomedical informatics plays a central role in translating the increasing knowledge of the molecular basis of disease and inter-individual genetic variation into new preventive, diagnostic and therapeutic solutions. Research areas in which HaBIC is active include: integration of personal genome sequence and patient molecular information within the electronic health record, knowledge management systems to assess the clinical relevance of biomarkers, nanotechnology informatics, simulation systems for educating patients and health professionals in genomic medicine, and data integration in clinical bioinformatics.

Informatics in Participatory Health lag
The digitisation of information has had an enormous impact on many sectors of society. However, the health sector has failed to keep up with new information and communications technology. While this failure has not severely affected the operation of large clinical or research centres, it has limited the capacity for citizens to access their own health information and to interact with health professionals or other patients. The development of social networks, mobile apps and self-monitoring devices has enormous potential to advance the health sector in these areas. HaBIC is studying evidence-based health interventions with social networks, development of virtual communities for patients and public participation in health through web technologies.

Translational Research Informatics
There are still considerable gaps between basic research findings and their translation into individual clinical solutions and the widespread adoption of such solutions at a population level. Through our collaboration with the GRHANITE™ Health Informatics Unit at the Rural Health Academic Centre, HaBIC provides practical end-to-end solutions to Australian researchers and organisations wishing to undertake audit, research or health surveillance projects using routinely collected biomedical data (such as that collected by the electronic data capture tool REDCAP). The GRHANITE™ unit also studies data acquisition, privacy protection and record linkage techniques.

Informatics for e-health solutions
Research in informatics in e-health aims to generate evidence to support the development of e-health solutions and to overcome the barriers associated with their use. This research includes: e-learning; assessment and evaluation in higher education; professional education for e-health, focusing on educational strategy and policy for building health informatics capacity; analysis of health sector changes arising from new technologies, particularly the integration of emerging high-capacity broadband technologies in healthcare; the influence of these broadband technologies on health literacy, health services and research communication.

Exposome informatics
The Exposome has been defined as the life-long exposure to environmental risk factors of an individual. We are exploring ways to collect individual exposome data such as wearable sensors and wearable computing and other applications of the quantified-self movement. We aim to integrate this data with clinical and molecular data, and to investigate the potential uses of these new data sets in biomedical research.


Capacity: We encourage greater utilisation
Operation: Facility will train you, Facility provides the service for you
Access: Access by collaboration, Access by users external to managing organisation, Access by users internal to managing organisation

Tags: clinical trial data, Health bioinformatics data collection, research data