title: Protecting patient privacy in clinical data mining.
abstract: This paper investigates whether HIPAA de-identification requirements--as well as proposed AAMC de-identification standards--were met in a large clinical data mining study (1997-2001) conducted at Duke University prior to the publication of the final rule. While HIPAA has improved de-identification standards, the study also shows that privacy issues may persist even in de-identified large clinical databases.
mesh_terms: D035843:Biomedical Research / Q000331:legislation & jurisprudence*; D016494:Computer Security / Q000331:legislation & jurisprudence*; D003219:Confidentiality / Q000331:legislation & jurisprudence*; D003628:Database Management Systems / Q000331:legislation & jurisprudence*; D020408:Health Insurance Portability and Accountability Act; D006801:Humans; D007256:Information Systems / Q000458:organization & administration*; D016347:Medical Records Systems, Computerized / Q000331:legislation & jurisprudence*; D010355:Patient Identification Systems; D014481:United States