All 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. Medical content editors create the new content, adding an original source to each piece of new medical information. The content is then peer-reviewed by another medical content editor to validate all sources and identify potential areas for improvement. After 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. The clinical test cases are then added to the medical database and validated against a diagnostic engine. A specialist verifies the newly created content and a data scientist identifies and corrects potential issues, such as duplicate symptoms. 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. The content is then published to the cloud-based API and made available to all users of Infermedica products. See additional information.
