Utilizing Combined Claims and Clinical Datasets for Research Among Potential Cases of Rare Diseases
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Utilizing Combined Claims and Clinical Datasets for Research Among Potential Cases of Rare Diseases

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  • English

  • Details:

    • Alternative Title:
      Int J Healthc Inf Syst Inform
    • Description:
      With data quality issues with administrative claims and medically derived datasets, a dataset derived from a combination of sources may be more effective for research. The purposes of this article is to link an EMR-based data warehouse with state administrative data to study individuals with rare diseases; to describe and compare their characteristics; and to explore research with the data. These methods included subjects with diagnosis codes for one of three rare diseases from the years 2009-2014; Spina Bifida, Muscular Dystrophy, and Fragile X Syndrome. The results from the combined data provides additional information that each dataset, by itself, would not contain. The simultaneous examination of data such as race/ethnicity, physician and other outpatient visit data, charges and payments, and overall utilization was possible in the combined dataset. It is also discussed that combining such datasets can be a useful tool for the study of populations with rare diseases.
    • Source:
      Int J Healthc Inf Syst Inform. 13(2):1-12
    • Pubmed ID:
      32913425
    • Pubmed Central ID:
      PMC7479970
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