Our partner TriNetX, through its global network of 150 healthcare organizations, is providing Covid-19 researchers with up-to-date patient-level clinical data for those diagnosed with the virus to help develop supportive, curative, and preventative therapies for the disease.
Crucial types of information from Covid-19 patients are currently only available in an unstructured form such as doctors’ letters, progress reports, radiology reports, etc. In the current situation COVID-19 is very often mentioned in these documents (e.g. patient is afraid of having Covid-19 or the patient’s wife has returned from a corona risk area). In order to improve the detection of positive COVID-19 diagnoses, Averbis and the technical team of TriNetX have jointly optimized the NLP based diagnosis detection for COVID-19.
Now it is possible to incorporate facts from unstructured documents to develop a study a cohort of COVID-19 patients.
(Photo by Drew Hays unsplashed)