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Data found in electronic health records (EHRs) – including the age, sex and specific diagnoses of patients – could make it easier for healthcare providers to determine which patients are at risk of falling, a new study shows.
The study, “An Electronic Health Record Data-driven Model for Identifying Older Adults at Risk of Unintentional Falls,” analyzed de-identified EHR data to assess potential correlation between falls and demographic characteristics, health profile, services received, medications used, and other information. Among the conclusions:
“Applying EHR data as clinical decision support in fall risk identification may serve as a means of efficient, systematic screening and support efforts to identify older adults at risk of falls,” writes the research team from West Virginia University in Morgantown.