Bibliographic Details
| Title: |
AUS-TBI: The Australian Health Informatics Approach to Predict Outcomes and Monitor Intervention Efficacy after Moderate-to-Severe Traumatic Brain Injury |
| Authors: |
Melinda Fitzgerald, Jennie Ponsford, Natasha A. Lannin, Terence J. O'Brien, Peter Cameron, D. James Cooper, Nick Rushworth, Collaboration group, Belinda Gabbe |
| Source: |
Neurotrauma Reports, Vol 3, Iss 1, Pp 217-223 (2022) |
| Publisher Information: |
Mary Ann Liebert, 2022. |
| Publication Year: |
2022 |
| Collection: |
LCC:Medical emergencies. Critical care. Intensive care. First aid |
| Subject Terms: |
assessment tools, biomarkers, epidemiology, human studies, traumatic brain injury, Medical emergencies. Critical care. Intensive care. First aid, RC86-88.9 |
| More Details: |
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. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
2689-288X |
| Relation: |
https://doaj.org/toc/2689-288X |
| DOI: |
10.1089/NEUR.2022.0002 |
| Access URL: |
https://doaj.org/article/6664c4a41bcf47989a51bb0b560c169c |
| Accession Number: |
edsdoj.6664c4a41bcf47989a51bb0b560c169c |
| Database: |
Directory of Open Access Journals |
