This lesson gives a deep introduction to the structure of electronic health records (EHRs, sometimes called EMRs for electronic medical records). EHRs are are used to record and categorize medical complaints as well as medical diagnoses in a structured manner. It introduces: ICD (ICD-9 as well as ICD-10) system of recording diagnoses; the SNOMED-CT system of recording symptoms, diagnoses, procedures, and other medical information; the NDC system of drug codes; CVX vaccine codes; the RxNorm categorization of treatments; the LOINC schema of recording laboratory tests; and clinical quality measures (CQMs).
What you’ll learn—and how you can apply it
You’ll learn how medical data is recorded so that you can extract the information that you need to perform accurate analysis of medical data or build machine learning models that correctly represent the features of the real world.
This lesson is for you because…
You have experience with data analysis and modeling, but are new to working with medical data.
- Familiarity with data analysis.
Materials or downloads needed
- Title: Introduction to electronic health records
- Release date: December 2016
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781491979815
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