2017 Fall

  • Fall 2017 Introduction

    The Fall 2017 issue of Perspectives in Health Information Management features the latest research on topics such as automated vaccine documentation, a review of usability issues in Australia PHR system, and repurposing EHR data to identify fall risks.

    Authors of the study, “An Electronic Health Record Data-driven Model for Identifying Older Adults at Risk of Unintentional Falls,” studied the use of de-identified EHR data to support fall prevention. The research revealed a list of facts (such as age, sex, and specific diagnoses) that could be useful in determining high-risk fall patients.  

  • An Electronic Health Record Data-driven Model for Identifying Older Adults at Risk of Unintentional Falls

    Screening for risk of unintentional falls remains low in the primary care setting because of the time constraints of brief office visits. National studies suggest that physicians caring for older adults provide recommended fall risk screening only 30 to 37 percent of the time. Given prior success in developing methods for repurposing electronic health record data for the identification of fall risk, this study involves building a model in which electronic health record data could be applied for use in clinical decision support to bolster screening by proactively identifying patients for whom screening would be beneficial and targeting efforts specifically to those patients.