Top Five Nightmares Hiding in a Healthcare Organization's Unstructured Data

Unstructured data is information that does not have any predefined data models or schemata, so it can be difficult for an enterprise to locate and digest. Examples include physicians' notes in EHRs, emails, text files, photos, videos, call transcripts and recordings, and business chat apps.

Obviously, this information is extremely sensitive, and the last thing companies want is for it to end up in the wrong hands. Automating the process of uncovering this information, categorizing it properly and associating it with the right people, using AI, can prevent the nightmares that would occur if this information were exposed during a breach or an audit.

New AI and machine learning techniques are able to identify code words by understanding not only what's in a document or message, but also the context around it, including the social graph of the people involved.