Imagine a situation where all you had to do in order to know whether you are infected with a respiratory infectious disease or not, such as flu or COVID-19, is to provide your age, gender and address, and within a second you would get accurate results. This could have been a game changer for all global healthcare systems in delivering primary care treatment, fighting the COVID-19 pandemic or getting back to the “new normal” life.
This is exactly what EDAS Healthcare does for all flu-like diseases and would be able to do the same the COVID-19.
The absence of timely and reliable means to quickly and accurately diagnose infectious respiratory diseases at the Point-Of-Care, when most needed, affects treatment quality, costs and antimicrobial resistance - both becoming real global challenges.
A graduate scientist from Stanford University, specializing in epidemiology transfer model in the community, and a renowned Professor for Infectious Diseases from the Hadassah Medical Center in Jerusalem had decided to address this challenge and redefine the way physicians can diagnose patients with infectious diseases. They were able to show and prove that by using the right transfer models, epidemiology as well as demographic considerations applied to machine learning algorithms, they can dramatically increase the certainty of predicting the infecting pathogens to lab-like levels.
With this vision to leverage secondary care data to optimize primary care treatment, EDAS Healthcare was founded in 2018, and already had validated its technology with over 40,000 patient at the Hadassah Medical Center.
By providing immediate and accurate decision support information to physicians at the Point-Of-Care or over Tele-Medicine, we aim at redefining the way infectious diseases are being detected and treated and to significantly impact healthcare systems’ performance, resource utilization, antibiotics overuse and patients’ satisfaction.
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Our Executive Summary
Get a snapshot of EDAS Healthcare and its benefits with our Executive Summary.