Abstract
Medical big data has generated much excitement in recent years and for good reason. It can be an invaluable resource for researchers in general and insurers in particular. This Article, however, argues that users of medical big data must proceed with caution and recognize the data’s considerable limitations and shortcomings. These can consist of data errors, missing information, lack of standardization, record fragmentation, software problems, and other flaws. The Article analyzes a variety of data quality problems. It also formulates recommendations to address these deficiencies, including data audits, workforce and technical solutions, and regulatory approaches
Keywords
Big data, Medical data quality, Electronic health records, Electronic health record problems, Meaningful use regulations, HIPAA Privacy Rule, HIPAA Security Rule
Publication Date
2015
Document Type
Article
Place of Original Publication
Connecticut Insurance Law Journal
Publication Information
21 Connecticut Insurance Law Journal 289 (2015)
Repository Citation
Hoffman, Sharona, "Medical Big Data and Big Data Quality Problems" (2015). Faculty Publications. 1679.
https://scholarlycommons.law.case.edu/faculty_publications/1679
