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Technical Guidelines for Unduplicating and De-identifying HMIS Client Records

Date Published: October 2006

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Translating HMIS data into an unduplicated count is not simple. Obtaining an unduplicated count while allowing specialized providers to submit de-identified data is especially challenging. This paper specifies a multi-field approach to unduplication that flexibly and accurately accounts for the possibility of missing or inaccurate information. The paper also proposes a method of de-identification based on hashing, which strongly conceals client personal information. The unduplication method can be applied to de-identified data as well as identifiable data. The guidelines contain both explanatory information of interest to a non-technical audience as well as technical specifications for software developers and database administrators.

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Tags: HMIS
Author Organization
  • Canavan Associates
  • Cloudburst Consulting Group
Resource Approver
  • HUD Approved