Literature DB >> 16479232

Small numbers, disclosure risk, security, and reliability issues in Web-based data query systems.

Barbara A Rudolph1, Gulzar H Shah, Denise Love.   

Abstract

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.

Mesh:

Year:  2006        PMID: 16479232     DOI: 10.1097/00124784-200603000-00010

Source DB:  PubMed          Journal:  J Public Health Manag Pract        ISSN: 1078-4659


  6 in total

1.  The population health record: concepts, definition, design, and implementation.

Authors:  Daniel J Friedman; R Gibson Parrish
Journal:  J Am Med Inform Assoc       Date:  2010 Jul-Aug       Impact factor: 4.497

2.  Never too old for anonymity: a statistical standard for demographic data sharing via the HIPAA Privacy Rule.

Authors:  Bradley Malin; Kathleen Benitez; Daniel Masys
Journal:  J Am Med Inform Assoc       Date:  2011 Jan-Feb       Impact factor: 4.497

3.  Evaluating predictors of geographic area population size cut-offs to manage re-identification risk.

Authors:  Khaled El Emam; Ann Brown; Philip AbdelMalik
Journal:  J Am Med Inform Assoc       Date:  2008-12-11       Impact factor: 4.497

4.  Data, capacity-building, and training needs to address rural health inequities in the Northwest United States: a qualitative study.

Authors:  Betty Bekemeier; Seungeun Park; Uba Backonja; India Ornelas; Anne M Turner
Journal:  J Am Med Inform Assoc       Date:  2019-08-01       Impact factor: 4.497

5.  Identifying clinical/translational research cohorts: ascertainment via querying an integrated multi-source database.

Authors:  John F Hurdle; Stephen C Haroldsen; Andrew Hammer; Cindy Spigle; Alison M Fraser; Geraldine P Mineau; Samir J Courdy
Journal:  J Am Med Inform Assoc       Date:  2012-10-11       Impact factor: 4.497

6.  Burden of pulmonary hypertension in patients with portal hypertension in the United States: a retrospective database study.

Authors:  Sandeep Sahay; Yuen Tsang; Megan Flynn; Peter Agron; Robert Dufour
Journal:  Pulm Circ       Date:  2020-11-23       Impact factor: 3.017

  6 in total

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