Recognizing drug mentions in Social Media. This blog post includes a description of the participation in BioCreative tasks for the joint research team by Konplik Health and HULAT research group from Universidad Carlos III de Madrid.
José Luis Martínez
Electronic Health Records de-identification explained in 2 minutes. Watch our video and visit our new section for more contents.
Try out the de-identification demo at Konplik. Remove Personal Health Information from EHR in a precise and efficient manner. Natural Language process applied to the anonymization of medical records according to HIPAA
Rare diseases are those affecting 1 in every 2000 people or, according to the FDA, diseases or conditions that affect less than 200,000 people in the United States. There are around 7,000 rare diseases identified.
This post includes a detailed overview of the implementation of an anonymization system at Konplik Health.
Photo by Daria Nepriakhina on Unsplash Agile Anonymization methodology at Konplik Health through Artificial Intelligence (AI) In a previous post, we talked about the HIPAA Privacy Rule and how to remove Personal Health Information from Electronic Health Records...
Photo by National Cancer Institute on Unsplash Anonymization for non-structured content in EHR using Artificial Intelligence Health data privacy is the main goal of information systems in the healthcare domain. This has been the case since the very first stages in the...