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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 2 of 2 Research Studies DisplayedDi Tosto G, McAlearney AS, Fareed N
Metrics for outpatient portal use based on log file analysis: algorithm development.
This study’s goal was to document the functionality of an outpatient portal in the context of outpatient care by mining portal usage data and to provide insights into how patients use this tool. The authors developed a taxonomy of functions and actions and computed analytic metrics, including frequency and comprehensiveness of use. They found that function use was comprehensive at the patient level, while each session was instead limited to the use of one specific function. They hope to promote the replicability of their study at other institutions and to contribute to the establishment of best practices that can facilitate the adoption of behavioral metrics that enable the measurement of patient engagement based on the outpatient portal use.
AHRQ-funded; HS024091; HS024349; HS024379.
Citation: Di Tosto G, McAlearney AS, Fareed N .
Metrics for outpatient portal use based on log file analysis: algorithm development.
J Med Internet Res 2020 Jun 12;22(6):e16849. doi: 10.2196/16849..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Ambulatory Care and Surgery, Health Services Research (HSR), Research Methodologies
Weng Y, Tian L, Tedesco D
Trajectory analysis for postoperative pain using electronic health records: a nonparametric method with robust linear regression and K-medians cluster analysis.
Postoperative pain scores are widely monitored and collected in the electronic health record, yet current methods fail to fully leverage the data with fast implementation. This article describes a trajectory analysis for postoperative pain using electronic health records. A robust linear regression was fitted to describe the association between the log-scaled pain score and time from discharge after total knee replacement.
AHRQ-funded; HS024096.
Citation: Weng Y, Tian L, Tedesco D .
Trajectory analysis for postoperative pain using electronic health records: a nonparametric method with robust linear regression and K-medians cluster analysis.
Health Informatics J 2020 Jun;26(2):1404-18. doi: 10.1177/1460458219881339..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Pain, Surgery, Orthopedics, Research Methodologies, Health Services Research (HSR)