Critical Care Commons^™

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 …

Evaluation Of A Process Change Using An Updated Sedation Protocol, Rachel Allen

Dissertations

Problem: Pediatric delirium is continuing to increase intensive care environments and for patients who require mechanical ventilation and continuous sedative medications. Delirium is harmful to the patient creating lasting neurologic and mental health issues along with prolonged hospitalization and increased healthcare cost

Method: For this quality improvement (QI) project, a descriptive observational study was used to evaluate the implementation of a sedation protocol for patients who are mechanically ventilated and on continuous sedative medications. This was completed with the use of retrospective chart reviews three months prior to implementation and three months after the new protocol was implemented. Nurses were …