Journal of the American Medical Informatics Association · 2018 · 21 citations · 23 references
It is important to understand the specifics about how patients use IPPs to help them better engage with their healthcare. Our taxonomy enabled characterization of 5 groups of IPP users who demonstrated distinct preferences. These results may inform targeted improvements to IPP tools, could provide insights to improve patient training around portal use, and may help care team members effectively engage patients in the use of IPPs. We also discuss the implications of our findings for future research.
23
Xianggui Qu · Technometrics · 2007 · 14.8K citations
Univariate Analysis, Multivariate Data Analysis, Engineering +6
Coding Algorithms for Defining Comorbidities in ICD-9-CM and ICD-10 Administrative Data
Hude Quan, Vijaya Sundararajan, Patricia Halfon et al. · Medical Care · 2005 · 10.2K citations
A dendrite method for cluster analysis
T. Calinski, J. Harabasz · Communication in Statistics- Theory and Methods · 1974 · 6.5K citations
The Triple Aim: Care, Health, And Cost
Donald M. Berwick, Thomas Nolan, John Whittington · Health Affairs · 2008 · 5K citations