Clinical and demographic information was extracted from the WFBH EHR (Epic), a single enterprise-wide platform supporting integrated clinical, billing, and ancillary applications. CCI scores were computed by the WFSM Clinical and Translational Science Institute using EHR data.10 (link) All variables examined aside from the CCI score were extracted using the Epic EHR across the health system using medication, laboratory, and diagnosis definitions using standard ontologies (SNOMED; LOINC; International Classification of Diseases, Tenth Revision; National Drug Code; RxNorm) for structured data available in the EHR at the time of the outcome visit. We did not use natural processing to mine/examine free-text entered data from the EHR. The SCr was measured using the modified Jaffe method, kinetic, calibrated to the isotope dilution mass spectrometry reference measurement (Beckman Coulter AU5822). The eGFR was computed using the CKD-Epidemiology Collaboration equation.11 (link) Patient identifiers were removed from the data set prior to analysis.
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EHR-Derived Patient Data Analysis
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Other organizations : Wake Forest University
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Variable analysis
independent variables
- CCI scores
- Measured outcomes
- Demographic information
- Clinical information
- Medication, laboratory, and diagnosis definitions using standard ontologies (SNOMED; LOINC; International Classification of Diseases, Tenth Revision; National Drug Code; RxNorm)
- Serum creatinine (SCr) measured using the modified Jaffe method, kinetic, calibrated to the isotope dilution mass spectrometry reference measurement (Beckman Coulter AU5822)
- Estimated glomerular filtration rate (eGFR) computed using the CKD-Epidemiology Collaboration equation
- None specified
- None specified
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