NLP for EHR? — Natural Language Processing for Electronic Health Records

This post continues to discuss NLP’s applications on EHR. If you have not read “Natural Language Processing (NLP) for Electronic Health Record (EHR) — Part (I)”, don’t forget to visit it!

I have written articles on a variety of data science topics. For the ease of use, you can bookmark my summary post “Dataman Learning Paths — Build Your Skills, Drive Your Career” that list the links to all articles.

What is an Electronic Health Record (EHR)?

According to the Center for Medicare & Medicaid Services, an Electronic Health Record (EHR) is “an electronic version of a patients medical history, that is maintained by the provider over time, and may include all of the key administrative clinical data relevant to that persons care under a particular provider, including demographics, progress notes, problems, medications, vital signs, past medical history, immunizations, laboratory data, and radiology reports.”

The second EHR National Symposium of Stanford Medicine discuss the future of electronic health record systems and their potential to advance personalized and predictive medicine. Click below.