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Can Variables From The Electronic Health Record Identify Delirium At Bedside?, Ariba Khan, Kayla Heslin, Michelle Simpson, Michael L. Malone Jul 2022

Can Variables From The Electronic Health Record Identify Delirium At Bedside?, Ariba Khan, Kayla Heslin, Michelle Simpson, Michael L. Malone

Journal of Patient-Centered Research and Reviews

Delirium, a common and serious disorder in older hospitalized patients, remains underrecognized. While several delirium predictive models have been developed, only a handful have focused on electronic health record (EHR) data. This prospective cohort study of older inpatients (≥ 65 years old) aimed to determine if variables within our health system’s EHR could be used to identify delirium among hospitalized patients at the bedside. Trained researchers screened daily for delirium using the 3-minute diagnostic Confusion Assessment Method (3D-CAM). Patient demographic and clinical variables were extracted from the EHR. Among 408 participants, mean age was 75 years, 60.8% were female, and …


Brain Imaging In Older Patients With Delirium, Laila M. Hasan, Ariba Khan, Maharaj Singh, Michael L. Malone Nov 2017

Brain Imaging In Older Patients With Delirium, Laila M. Hasan, Ariba Khan, Maharaj Singh, Michael L. Malone

Journal of Patient-Centered Research and Reviews

Background: Delirium is a common, serious and costly condition in older patients admitted to the hospital. This study describes the prevalence and results of brain imaging among a cohort of older hospitalized patients with and without delirium.

Purpose: Investigate the frequency and results of brain imaging in older patients with delirium as compared to those without delirium.

Methods: This was a cross-sectional study. Data were collected on hospitalized patients age 65 years or older who were admitted to 3 hospitals in Milwaukee, Wisconsin, during a 1-month period in the fall of 2013. Subjects were tested for delirium via the “Confusion …