eRx – A technological advance to speed-up TB diagnostics

In 2016 an interdisciplinary collaborative research team started an ambitious project to assist the diagnosis of tuberculosis (TB) in areas with over-burdened and poor healthcare infrastructure in the outskirts of Lima, capital of Peru. Currently we have implemented an integrated system which connects nurses, physicians and scientists, in a network of cooperation to identify and report suspicious cases of pulmonary TB. Our Electronic Mobile system (called ‘eRx’) is a Computer Automated Diagnosis (CAD) tool that can be used by local TB nurses allowing them to send X-rays along with additional prospect patient information, directly to be remotely evaluated by a physician. The physician accesses a web-based system using a computer or a tablet which allows him/her to evaluate the data coming from the distinct healthcare centers. The physician may also be assisted by a Beta version of an automatic diagnostic software which uses Deep Learning to identify the presence of lung abnormalities as well as the possible manifestations for TB. The goal of our research is to increase the speed at which a diagnosis can be made by providing a CAD tool to health care providers to improve quality and efficiency of TB diagnosis.