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Selecting data elements to build a patient-centric electronic health record that will support adherence to
Connie Chan1, Alwyn Cohall, David Kaufman
1Department of Biomedical Informatics, Columbia University, New York, NY, USA.
Abstract:
Cardiovascular disease (CVD) remains the leading cause of death in the US. Therapeutic lifestyle change (TLC) is an effective intervention to reduce the risk of CVD. In developing a patient-centric electronic health record (PC-EHR), our project aims to build an evidence-based support system to facilitate patient-provider interaction, foster cooperative chronic disease management, and promote adherence to TLC guidelines by both providers and patients. In this paper we report on the findings of a modified Delphi method (MDM) study to determine the behavioral and psychosocial elements needed to extend the clinical data model and support the TLC decision support algorithm. An eight-member expert advisory committee reviewed a list of 83 proposed data elements including those from the National Cholesterol Education Program Adult Treatment Panel III guidelines and finalized a set of 30 data elements for inclusion. The MDM proved to be an effective approach for prioritizing data elements.
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