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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
Ariba Khan, MD, MPH
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 …
Prognostic Indices For Hospitalized Older Adults: A Meta-Analysis And Systematic Review, Ariba Khan, Ayesha Maria, James Hocker, Maharaj Singh, Michelle Simpson
Prognostic Indices For Hospitalized Older Adults: A Meta-Analysis And Systematic Review, Ariba Khan, Ayesha Maria, James Hocker, Maharaj Singh, Michelle Simpson
Ariba Khan, MD, MPH
Background: A prognostication predictive model incorporated into the electronic health record (EHR) may be useful in assisting the health care team in accurately predicting mortality and may be used in appropriately allocating palliative care services.
Purpose: To systematically review and summarize current medical literature regarding the factors predictive of mortality in an inpatient population above 65 years of age.
Methods: Nondisease-specific prognostication indices that predict 1-year mortality in an inpatient population of adults over age 65 were included. We excluded studies that estimated intensive care unit, disease-specific or in-hospital mortality. A MEDLINE, CINAHL, Ovid and Cochrane literature search of English-language …
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
Ariba Khan, MD, MPH
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 …
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
Michael Malone, MD
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 …
Prognostic Indices For Hospitalized Older Adults: A Meta-Analysis And Systematic Review, Ariba Khan, Ayesha Maria, James Hocker, Maharaj Singh, Michelle Simpson
Prognostic Indices For Hospitalized Older Adults: A Meta-Analysis And Systematic Review, Ariba Khan, Ayesha Maria, James Hocker, Maharaj Singh, Michelle Simpson
Maharaj Singh
Background: A prognostication predictive model incorporated into the electronic health record (EHR) may be useful in assisting the health care team in accurately predicting mortality and may be used in appropriately allocating palliative care services.
Purpose: To systematically review and summarize current medical literature regarding the factors predictive of mortality in an inpatient population above 65 years of age.
Methods: Nondisease-specific prognostication indices that predict 1-year mortality in an inpatient population of adults over age 65 were included. We excluded studies that estimated intensive care unit, disease-specific or in-hospital mortality. A MEDLINE, CINAHL, Ovid and Cochrane literature search of English-language …
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
Maharaj Singh
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 …
Using An Automated Model To Identify Older Patients At Risk For 30-Day Hospital Readmission And 30-Day Mortality, Ariba Khan, Mary L. Hook, Maharaj Singh, Marsha Vollbrecht, Aaron Malsch, Michael L. Malone
Using An Automated Model To Identify Older Patients At Risk For 30-Day Hospital Readmission And 30-Day Mortality, Ariba Khan, Mary L. Hook, Maharaj Singh, Marsha Vollbrecht, Aaron Malsch, Michael L. Malone
Maharaj Singh
Background: A real-time electronic health record (EHR) predictive model that identifies older patients at risk for readmission and mortality may assist the health care team in improved patient care.
Purpose: This study was performed to generate an automated 30-day readmission and 30-day mortality risk model using data from the EHR in hospitalized older adults.
Methods: This was a retrospective cohort study. Included were patients age 65 years and older admitted to the hospital from July 2012 to December 2013. An automated predictive model was derived from variables collected from the EHR including socioeconomic factors, medical diagnoses and health care utilization. …