title: Methods to identify standard data elements in clinical and public health forms.
abstract: The fragmentation of clinical and public health systems results in divergent information collection practices, presenting challenges to standardization and EHR certification efforts. Data forms employed in public health jurisdictions nationwide reflect these differences in patient treatment, monitoring and evaluation, and follow-up, presenting challenges for data integration. To study these variations, we surveyed tuberculosis contact investigation forms from all fifty states, three municipalities and two countries. We apply statistics and cluster analysis to analyze the divergent content of contact investigation forms with the goal of characterizing normative practices and identifying a common core of data fields. We found widespread variation in data elements between states in the study, with the "Name" field being the only ubiquitous data element. Our method reveals distinct groupings of data fields employed in certain regions, allowing the simultaneous identification of core standard data fields as well as variations in practice.
authors.affiliation: University of Washington, Seattle, WA, USA.
authors.forename: Neil F
authors.initials: NF
authors.lastname: Abernethy
authors.forename: Kathy
authors.initials: K
authors.lastname: DeRimer
authors.forename: Peter M
authors.initials: PM
authors.lastname: Small
mesh_terms: D016000:Cluster Analysis; D016358:Contact Tracing; D003625:Data Collection / Q000592:standards; D057286:Electronic Health Records / Q000592:standards*; D005568:Forms and Records Control; D006801:Humans; D019451:Information Management; D008498:Medical Record Linkage; D040442:Public Health Informatics / Q000592:standards*; D018511:Systems Integration; D014376:Tuberculosis; D014481:United States