Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Medicine and Health Sciences
Delirium Recognition In Hospitalized Older Patients: A Quality Improvement Project, Jodi Punke, Ariba Khan, Michael L. Malone
Delirium Recognition In Hospitalized Older Patients: A Quality Improvement Project, Jodi Punke, Ariba Khan, Michael L. Malone
Journal of Patient-Centered Research and Reviews
Background: We noted a low reported prevalence of delirium (3%) in hospitalized older patients at a community teaching hospital in north central Wisconsin.
Purpose: This was a quality improvement project to report recognition of delirium by nurses before and after an educational intervention.
Methods: This project was performed on one medical unit in our hospital. Quality improvement data was collected at baseline and after the educational intervention. Data collected included observation by a geriatrician attending weekly interdisciplinary rounds to note any mention by nurses of delirium or confusion. The patient’s electronic health record (EHR) was reviewed to note delirium assessment …
An Automated Model Using Electronic Health Record Data To Identify Delirium Among Hospitalized Older Adults: A Pilot Project, Ariba Khan, Maharaj Singh, Hina Singh, Ayesha Maria, Michelle Simpson
An Automated Model Using Electronic Health Record Data To Identify Delirium Among Hospitalized Older Adults: A Pilot Project, Ariba Khan, Maharaj Singh, Hina Singh, Ayesha Maria, Michelle Simpson
Journal of Patient-Centered Research and Reviews
Background: Delirium is a serious change in mental status with adverse outcomes, but remains underrecognized. The electronic health record (EHR) may assist in the identification of delirium.
Purpose: This study was performed to generate an automated delirium identification model using data from the EHR among hospitalized older adults.
Methods: Inpatients 65 years and older were included in this cross-sectional study. The researchers used “confusion assessment method” as the gold standard to identify delirium. Four categories of variables were obtained from the EHR on the day of and the day prior to researcher assessment: 1) hypoactive delirium (any one of the …