Smart evidence-based software for latent tuberculosis infection decision support

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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.