- Guides and Training Manuals
Date Published: October 2006Print ShareThis
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.