Purpose: The rapid implementation of electronic health records (EHRs) resulted in a lack of data standardization and created considerable difficulty for secondary use of EHR documentation data within and between organizations. While EHRs contain documentation data (input), nurses and healthcare organizations rarely have useable documentation data (output). The purpose of this article is to describe a method of standardizing EHR flowsheet documentation data using information models (IMs) to support exchange, quality improvement, and big data research.
View Article and Find Full Text PDFBackground: Red blood cell (RBC) transfusion is a common medical procedure. While it offers clinical benefits for many, hemodynamically stable patients are often subjected to unwarranted transfusions, with the potential to lead to adverse consequences. We created a real-time clinical decision support (CDS) tool in the electronic health record system to address this problem and optimize transfusion practice as part of an institutional multidisciplinary, team-based patient blood management program.
View Article and Find Full Text PDFSystems Addressing Frail Elders (SAFE) Care is a geriatric model of care that identifies high-risk hospitalized older adults, and provides targeted interprofessional interventions for risk factors associated with frailty. This post, mixed methods study sought to evaluate SAFE Care implementation retrospectively at one public academic medical center and describe practical "real-world" considerations for implementation using the Consolidated Framework for Implementation Research (CFIR). In addition to barriers and facilitators, hidden characteristics to consider for implementation include initiating conditions, skills and experiences of implementers, interpersonal challenges, unique facilitators and barriers, surprising conditions, and threats to and requirements for sustainability.
View Article and Find Full Text PDFUse of electronic health record data is expanding to support quality improvement and research; however, this requires standardization of the data and validation within and across organizations. Information models (IMs) are created to standardize data elements into a logical organization that includes data elements, definitions, data types, values, and relationships. To be generalizable, these models need to be validated across organizations.
View Article and Find Full Text PDFBackground: Secondary use of electronic health record (EHR) data can reduce costs of research and quality reporting. However, EHR data must be consistent within and across organizations. Flowsheet data provide a rich source of interprofessional data and represents a high volume of documentation; however, content is not standardized.
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