Cargando…
Design and implementation of electronic health record integrated clinical prediction rules (iCPR): a randomized trial in diverse primary care settings
BACKGROUND: Clinical prediction rules (CPRs) represent a method of determining individual patient risk to help providers make more accurate decisions at the point of care. Well-validated CPRs are underutilized but may decrease antibiotic overuse for acute respiratory infections. The integrated clini...
Autores principales: | Feldstein, David A., Hess, Rachel, McGinn, Thomas, Mishuris, Rebecca G., McCullagh, Lauren, Smith, Paul D., Flynn, Michael, Palmisano, Joseph, Doros, Gheorghe, Mann, Devin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5351194/ https://www.ncbi.nlm.nih.gov/pubmed/28292304 http://dx.doi.org/10.1186/s13012-017-0567-y |
Ejemplares similares
-
A Framework for Usable and Effective Clinical Decision Support: Experience from the iCPR Randomized Clinical Trial
por: Kannry, Joseph, et al.
Publicado: (2015) -
Rationale, design, and implementation protocol of an electronic health record integrated clinical prediction rule (iCPR) randomized trial in primary care
por: Mann, Devin M, et al.
Publicado: (2011) -
Using normalisation process theory to understand workflow implications of decision support implementation across diverse primary care settings
por: Mishuris, Rebecca G, et al.
Publicado: (2019) -
Adaptive design of a clinical decision support tool: What the impact on utilization rates means for future CDS research
por: Mann, Devin, et al.
Publicado: (2019) -
Healthcare provider perceptions of clinical prediction rules
por: Richardson, Safiya, et al.
Publicado: (2015)