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- Page navigation anchor for CPCSSN primary care EMR data is promising for chronic disease surveillanceCPCSSN primary care EMR data is promising for chronic disease surveillanceShow More
Chronic disease surveillance requires the on-going collection of valid health information from large geographic areas. Primary data collection is time consuming and expensive, thus secondary data has been used for surveillance. Many countries routinely collect health data from hospital discharges, called hospital discharge abstract data. Such data captures sick patients and the majority of patients with chronic disease...
Competing Interests: None declared. - Page navigation anchor for Chronic Disease SurveillanceChronic Disease SurveillanceShow More
The CPCSSN case definition validation article by Williamson et al. is a timely and much needed one that can help guide future directions for EMR related work in Canada. The case definitions can be considered foundational work that can help providers and researchers better understand how to make use of the EMR data collected.
Yet one issue that remains unclear is the quality of the EMR data on which this validation work...
Competing Interests: None declared. - Page navigation anchor for Chronic Disease SurveillanceChronic Disease SurveillanceShow More
The exemplary validation study published by Williamson and colleagues highlights the promise of large data sets for chronic disease surveillance. It appears to be possible, using their carefully crafted algorithms, to electronically find a majority of the diagnosed cases of some common chronic conditions without misclassifying very many patients who don't appear to have the conditions. The first practice-based researc...
Competing Interests: None declared.