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AUS-TBI: The Australian Health Informatics Approach to Predict Outcomes and Monitor Intervention Efficacy after Moderate-to-Severe Traumatic Brain Injury.
Fitzgerald, Melinda; Ponsford, Jennie; Lannin, Natasha A; O'Brien, Terence J; Cameron, Peter; Cooper, D James; Rushworth, Nick; Gabbe, Belinda.
Afiliação
  • Fitzgerald M; Curtin Health Innovation Research Institute, Curtin University, Nedlands, Western Australia, Australia.
  • Ponsford J; Perron Institute for Neurological and Translational Science, Nedlands, Western Australia, Australia.
  • Lannin NA; School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia.
  • O'Brien TJ; Monash Epworth Rehabilitation Research Centre-Epworth Healthcare, Richmond, Victoria, Australia.
  • Cameron P; Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia.
  • Cooper DJ; Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Victoria, Australia.
  • Rushworth N; Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
  • Gabbe B; Australian and New Zealand Intensive Care Research Centre Recovery Program (ANZIC-RC), Monash University, Melbourne, Victoria, Australia.
Neurotrauma Rep ; 3(1): 217-223, 2022.
Article em En | MEDLINE | ID: mdl-35919508
ABSTRACT
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article