Description
The aging population has led to an increase in cognitive impairment (CI) resulting in significant costs to society. In general, CI is diagnosed by clinicians through assessment. However, it is not routinely performed, causing a delay in timely diagnosis. Currently, little is known about temporal trends of patient health functions (i.e., activity of daily living [ADL]) in electronic health records (EHRs) and how these trends are associated with the onset of CI in elderly patients. We investigated the use of EHRs to better understand early signals of elderly patient CI by examining ADL trajectories.
Learning Objective: To better understand early signals of elderly patient cognitive impairment by examining functional status trajectories
Authors:
Yanshan Wang (Presenter)
Mayo Clinic
Sunghwan Sohn, Mayo Clinic
Presentation Materials: