Neurotrauma Reports (Jun 2022)

AUS-TBI: The Australian Health Informatics Approach to Predict Outcomes and Monitor Intervention Efficacy after Moderate-to-Severe Traumatic Brain Injury

  • Melinda Fitzgerald,
  • Jennie Ponsford,
  • Natasha A. Lannin,
  • Terence J. O'Brien,
  • Peter Cameron,
  • D. James Cooper,
  • Nick Rushworth,
  • Collaboration group,
  • Collaboration group,
  • Belinda Gabbe

DOI
https://doi.org/10.1089/NEUR.2022.0002
Journal volume & issue
Vol. 3, no. 1
pp. 217 – 223

Abstract

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Predicting and optimizing outcomes after traumatic brain injury (TBI) remains a major challenge because of the breadth of injury characteristics and complexity of brain responses. AUS-TBI is a new Australian Government?funded initiative that aims to improve personalized care and treatment for children and adults who have sustained a TBI. The AUS-TBI team aims to address a number of key knowledge gaps, by designing an approach to bring together data describing psychosocial modulators, social determinants, clinical parameters, imaging data, biomarker profiles, and rehabilitation outcomes in order to assess the influence that they have on long-term outcome. Data management systems will be designed to track a broad range of suitable potential indicators and outcomes, which will be organized to facilitate secure data collection, linkage, storage, curation, management, and analysis. It is believed that these objectives are achievable because of our consortium of highly committed national and international leaders, expert committees, and partner organizations in TBI and health informatics. It is anticipated that the resulting large-scale data resource will facilitate personalization, prediction, and improvement of outcomes post-TBI.

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