Smart evidence-based software for latent tuberculosis infection decision support

Funding Activity

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Funded Activity Summary

Intelligent decision-assistance software will be developed to aid clinicians and patients to make complex decisions about tuberculosis diagnosis and management. The software will be fully integrated into existing medical record technologies, and make use of the information that is contained in the medical record. The software will be used to project risks of adverse events for individual patients and illustrate them using graphical aids, leading to improved diagnosis and better patient outcomes.

Funded Activity Details

Start Date: 01-01-2015

End Date: 01-01-2021

Funding Scheme: Early Career Fellowships

Funding Amount: $343,456.00

Funder: National Health and Medical Research Council

Research Topics

ANZSRC Field of Research (FoR)

Health Information Systems (incl. Surveillance)

ANZSRC Socio-Economic Objective (SEO)

There are no SEO codes available for this funding activity

Other Keywords

health informatics | infectious diseases | modelling | preventive medicine | refugee health | risk prediction | statistics | tuberculosis