The new conditions and symptoms content undergo regression testing to ensure the stability of the tool and are also manually tested by a team of doctors. A specialist verifies the newly created content and a data scientist identifies and corrects potential issues, such as duplicate symptoms. The clinical test cases are then added to the medical database and validated against a diagnostic engine. The content is then peer-reviewed by another medical content editor to validate all sources and identify potential areas for improvement.Īfter the content is peer-reviewed, Infermedica’s doctors identify literature-based clinical cases from sources such as The BMJ, The New England Journal of Medicine, The American Journal of Medicine, Mayo Clinic Proceedings, BioMed Central, and Oxford journals to create clinical test cases. Medical content editors create the new content, adding an original source to each piece of new medical information. Everyday Health’s Symptom Checker is a certified (CE marked class 1) preliminary diagnosis and triage tool powered by Infermedica that leverages artificial intelligence, data science experts, and physicians to assess more than 1,500 symptoms and 800 conditions.Īll content featured in the tool is created through a rigorous content development process. Infermedica’s team of data scientists and medical professionals, led by Chief Medical Officer Irv Loh, MD, regularly analyzes statistical information collected by the tool to identify content areas that need to be expanded.
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