In a previous blog, I wrote about unstructured data in the healthcare industry and EHR systems. Unstructured data can consist of explanations of benefits, audio voice dictations, handwritten and typewritten notes, diagnostic images, e-mail messages and attachments, text messages, medical claims and more. Although it can sometimes be hard to access programmatically, unstructured data often includes information that is a valuable part of a patient’s medical record and clinical history.
Again, by being able to analyze unstructured data along with its structured counterpart, clinicians can provide a more complete picture of a patient’s history, diagnosis, treatment and outcome. It can help maintain data consistency, allow for combined qualitative and quantitative data and can be highly valuable when used in a research capacity.
When properly captured into a data structure or application, unstructured data can be effectively utilized through: