Demonstrating "collect once, use many"--assimilating public health secondary data use requirements into an existing Domain Analysis Model

AMIA Annu Symp Proc. 2011:2011:98-107. Epub 2011 Oct 22.


The healthcare industry has an increasing need for clinical data content standards to support patient care and data re-use in areas such as research, quality and public health. The Diabetes Data Strategy (Diabe-DS) project was formed in 2009 by the HL7 EHR Working Group to demonstrate a repeatable process that identifies disease-specific Common Data Elements (CDEs) for clinical care and secondary use. The Diabe-DS project previously developed a set of important CDEs and supporting data models for clinical care, quality and research uses of diabetes data. This paper will describe the process for identifying the data elements and activities required for public health use of clinical data, and mapping them to Diabe-DS CDEs, use case and data models. The result is a model for consideration which provides data needed in the immediate clinical environment of care, and supports the use of data for multiple uses.

MeSH terms

  • Diabetes Mellitus
  • Electronic Data Processing / standards
  • Electronic Health Records / standards*
  • Humans
  • Public Health
  • Public Health Informatics / organization & administration*
  • Public Health Informatics / standards