Small numbers, disclosure risk, security, and reliability issues in Web-based data query systems.
This article describes the process for developing consensus guidelines and tools for releasing public health data via the Web and highlights approaches leading agencies have taken to balance disclosure risk with public dissemination of reliable health statistics. An agency's choice of statistical methods for improving the reliability of released data for Web-based query systems is based upon a number of factors, including query system design (dynamic analysis vs preaggregated data and tables), population size, cell size, data use, and how data will be supplied to users. The article also describes those efforts that are necessary to reduce the risk of disclosure of an individual's protected health information.
National Association of Health Data Organizations, Salt Lake City, Utah, USA. brudolph@nahdo.org
Barbara A
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Rudolph
Gulzar H
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Shah
Denise
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Love
D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001699:Biometry; D002648:Child; D002675:Child, Preschool; D016494:Computer Security; D005260:Female; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D020407:Internet; D008297:Male; D008875:Middle Aged; D009369:Neoplasms / Q000401:mortality; D040442:Public Health Informatics / Q000458:organization & administration*; D014342:Truth Disclosure