Health Informatics is concerned with the effective use of information and discovery of knowledge in health. The area includes electronics medical records, health information retrieval, medical data mining and knowledge discovery, and ontology development and use in health domains. It is also concerned with proper security for medical data.
Proper management of medical data can:
- provide medical practitioners with accurate and timely information
- provide fact-based assistance in diagnosis
- help to keep medical data secure; and
- enable organisations to run effective and efficient hospitals and medical practices.
The Health Informatics group uses techniques and tools from other areas and applies them in a medical context. In many respects, medical data management is seen as more difficult and thus a better test of a technique than many other areas.
The Personal Health Informatics Research group is investigating effective emerging consumer-centered technologies for advancing health care access, delivery, evaluation and clinical research. The group is investigating at the end user level how these technologies can enhance self care and health behavior adoption, and at health professionals level enhance capabilities to monitor, predict and personalize care for better outcomes. Our group comprises of multi-disciplinary researchers with extensive collaborations.
Core capabilities of the PHIT group:
- Translating both user generated and institutional data into tools for engagement and decision support
- Developing personal health apps and services
- Using emerging apps and wearables for real time monitoring, evaluation and clinical research
With the rapid growth in personal health apps and devices, many people are quantifying themselves and gaining insights into health behaviours. But much of this information is not changing health behaviours and the people most in need are least likely to engage with these applications.
The PHIT group's primary areas of interest include current and emerging consumer apps for health behaviour change, characterizing personal digital footprints and their utility in real time monitoring applications, personal health records, and methods to combine and interpret digital footprints created by users with those from institutions and biomarkers and translate them into tools for personalisation and decision support. This includes exploring how patterns in the users digital footprint can shed new lights on health behaviours and perhaps lead to better prevention care strategies or discover new treatments.
We actively supervise and support many student projects at both Honours and Post-graduate levels and invite students who are interested in pursuing research in this program to contact Niranjan.Bidargaddi@flinders.edu.au