Track 13: Health Informatics - Translating Data to Knowledge with Technology for Healthcare Decisions

Contemporary healthcare is increasingly reliant on large and/or unstructured datasets, patient test data, patients’ generated content and other evidence to support quality decisions.  There is a need for technical solutions to help clinicians and other healthcare providers to solve complex medical problems for patients’ communities. This includes medical institutions as well as individual practitioners seeking opportunities to getting access to various sources of relevant data in a search for improving their practice. At the same time analysis of a vast amount of previously untapped medical and population data looks like a promising source for healthcare researchers in testing new hypotheses and supporting better clinical decision-making.  The importance of providing clinicians and medical institutions with the right information and communication technology (ICT) to address the above challenges and opportunities is hard to estimate.  This is one of the reasons health informatics, as the multidisciplinary field aiming to address health care problems by means of modern ICT, is gaining popularity among information systems researchers who seek opportunities for high impact translational research.  In addition, health care is a complex context which lends itself to the testing of existing IS theories, as well as providing a rich setting for extending and producing new theoretical models to inform better decision-making.  There is also a need for innovative socio-technical research methods which can be applied by IS researchers in conducting ethical, participatory research. Since such research normally involves multidisciplinary teams the outcomes must be presented in the way which is acceptable by all members of the team.

This track invites papers covering a broad range of topics related to the intersection of IS and healthcare, including empirical, conceptual and systematic literature review papers.

Topics of interest include, but are not limited to:

  • Theoretical research on participatory healthcare information systems;
  • Reflections on practical application of advanced IS/IT to enhance healthcare;
  • Analytical reports on case studies of real-world healthcare systems applications;
  • Socio-technical health IS/IT focussed systematic literature reviews;
  • Advancing IS theories in healthcare settings;
  • Patient-centred health IS/IT and patient empowerment;
  • Privacy and Security issues in healthcare IS/IT;
  • Development of wearable technologies and/or their role in preventive health IS/IT in mental health, quality of care, and personalization;
  • Health IT in the Cloud;
  • Economics of Health IS/IT People and systems interoperability in healthcare information systems;
  • Challenges in managing the Electronic Health Record at Individual Community and National levels
  • Population level analysis of health data
  • Applications of Big Data in Healthcare settings
  • Analytics in Healthcare and Decision making around health

Track Chairs

Frada Burstein
Monash University, Australia
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Sophie Cockcroft
University of Queensland, Australia
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Don Kerr
University of the Sunshine Coast, Australia
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