29 Pages Posted: 11 Jul 2014 Last revised: 5 Mar 2015
Date Written: 2014
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
JEL Classification: K23
Suggested Citation: Suggested Citation
Hoffman, Sharona, Medical Big Data and Big Data Quality Problems (2014). 21 Connecticut Insurance Law Journal 289 (2014); Case Legal Studies Research Paper No. 2015-18. Available at SSRN: https://ssrn.com/abstract=2464299 or http://dx.doi.org/10.2139/ssrn.2464299