Health Information Technology Commons^™

Examining Faith Community Nurses’ Perception And Utilization Of Electronic Health Records, Carole N. Mattingly, M. Eve Main

Eve Main

Abstract

The purpose of this study is to identify current faith community nurse documentation practices, explore factors impacting intention to adopt electronic health records, and identify perceived barriers and benefits to electronic health record use among faith community nurses practicing in the Midwest. The technology acceptance model is used to examine impact of perceived usefulness and perceived ease of use of electronic health records on intention to adopt.

This study is a quantitative exploratory research study utilizing a cross-sectional researcher-developed 39-item questionnaire. Surveys were distributed by mail and e-mail to faith community nurses practicing in South-Central Indiana and Western Kentucky. …

Impact Of Electronic Health Records On Patient Outcomes, Lilian Ndifon, Jude E. Edwards, Leila Halawi

Leila A. Halawi

With the passing of the HITECH Act, EHRs have come into prominence and sharper focus, due to efforts by the government to push for a national adoption of EHRs into our healthcare system. This push for a national adoption of EHRs is based on the premise that it will help improve the quality delivery of health care services and reduce costs. However, this push for a “national adoption” has experienced mixed results. This study was designed to assess the impact of EHRs post-2009, the year of the HITECH Act, to review some of the key contributing factors to this mixed …

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

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 …

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

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 …

Improved Cardiovascular Risk Prediction Using Nonparametric Regression And Electronic Health Record Data, Edward Kennedy, Wyndy Wiitala, Rodney Hayward, Jeremy Sussman

Edward H. Kennedy

Use of the electronic health record (EHR) is expected to increase rapidly in the near future, yet little research exists on whether analyzing internal EHR data using flexible, adaptive statistical methods could improve clinical risk prediction. Extensive implementation of EHR in the Veterans Health Administration provides an opportunity for exploration. Our objective was to compare the performance of various approaches for predicting risk of cerebrovascular and cardiovascular (CCV) death, using traditional risk predictors versus more comprehensive EHR data. Regression methods outperformed the Framingham risk score, even with the same predictors (AUC increased from 71% to 73% and calibration also improved). …