EHR systems generate log data, which can be productively employed to improve the efficiency, quality, and safety of healthcare. There is a growing number of studies that use EHR log data but, as with any new set of data and associated methods, there is little consistency in approach and there are substantial inefficiencies from researchers replicating foundational work. Following a highly successful AMIA panel in 2018 that introduced log data and its potential uses, we convened 3 workgroups to develop measurement and methods guidance for working with log data. Our panel will present results from each workgroup and illustrate how the products could be used to support a range of research topics. The panel will also engage in a discussant-led conversation about the opportunities, limitations, and methodological challenges of common approaches, and where additional efforts may be needed. The learning objectives for this panel include: increasing awareness of the value of EHR log data for answering various clinical informatics and clinical research questions, understanding new methodological guidance for how to use these data in a research setting, and understanding the remaining domains in which community-led work could improve the quality and efficiency of EHR log data research.
Learning Objective: (1) Increasing awareness of the value of EHR log data for answering various clinical informatics and clinical research questions
(2) Understanding new methodological guidance for how to use these data in a research setting
(3) Understanding the remaining domains in which community-led work could improve the quality and efficiency of EHR log data research.
Julia Adler-Milstein (Presenter)
You Chen (Presenter)
Vanderbilt University Medical Center
Michelle Hribar (Presenter)
Jennifer Popovic (Presenter)
J. Marc Overhage (Presenter)