Validating data filemaker
Each is unique to the respective chronic condition and includes varying EHR data elements.
) codes (used by primary care physicians for service billing purposes in Canada) and numeric and textual data (including spelling variants, etc) drawn from a number of sections within the EHR, including the problem and encounter diagnoses, billing, laboratory test results, and prescribed medications (Supplemental Appendix).
The case definitions were constructed with guidance from published evidence and both general and specialist physicians, and required several revisions before validation and implementation using computerized case finding algorithms.
Table 1 provides a description of the case definitions.
METHODS Using a cross-sectional data validation study design, regional and local CPCSSN networks from British Columbia, Alberta (2), Ontario, Nova Scotia, and Newfoundland participated in validating EHR case-finding algorithms.
A random sample of EHR charts were reviewed, oversampling for patients older than 60 years and for those with epilepsy or parkinsonism.