Open Access. Powered by Scholars. Published by Universities.®

Health Information Technology Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 6 of 6

Full-Text Articles in Health Information Technology

Measuring The Impact Of Primary Care Team Composition On Patient Activation Utilizing Electronic Health Record Big Data Analytics, Kristen K. Will, Yue Liang, Chih-Lin Chi, Gerri Lamb, Michael Todd, Connie Delaney Apr 2024

Measuring The Impact Of Primary Care Team Composition On Patient Activation Utilizing Electronic Health Record Big Data Analytics, Kristen K. Will, Yue Liang, Chih-Lin Chi, Gerri Lamb, Michael Todd, Connie Delaney

Journal of Patient-Centered Research and Reviews

Purpose

Team-based care has been linked to key outcomes associated with the Quadruple Aim and a key driver of high-value patient-centered care. Use of the electronic health record (EHR) and machine learning have significant potential to overcome previous barriers to studying the impact of teams, including delays in accessing data to improve teamwork and optimize patient outcomes.

Methods

This study utilized a large EHR dataset (n = 316,542) from an urban health system to explore the relationship between team composition and patient activation, a key driver of patient engagement. Teams were operationalized using consensus definitions of teamwork from the literature. …


Covid-19 Proactive Disease Management Using Covid Virtual Hospital In A Rural Community, Gandhari Loomis, Regina Rhodes, Ed Bujold, Golnosh Sharafsaleh, Ellen Collett, Mark Irwin, Elizabeth W. Staton, John M. Westfall Jul 2023

Covid-19 Proactive Disease Management Using Covid Virtual Hospital In A Rural Community, Gandhari Loomis, Regina Rhodes, Ed Bujold, Golnosh Sharafsaleh, Ellen Collett, Mark Irwin, Elizabeth W. Staton, John M. Westfall

Journal of Patient-Centered Research and Reviews

Purpose: A community teaching hospital serving a rural population established an intensive “hospital at home” program for patients with COVID-19 utilizing disease risk stratification and pulse oximeter readings to dictate nurse and clinician contact. Herein, we report patient outcomes and provider experiences resulting from this “virtual” approach to triaging pandemic care.

Methods: COVID-19-positive patients appropriate for outpatient management were enrolled in our COVID Virtual Hospital (CVH). Patients received pulse oximeters and instructions for home monitoring of vital signs. CVH nurses contacted the patient within 12–48 hours. The primary care provider was alerted of the patient’s diagnosis and held a virtual …


Is Home Blood Pressure Monitoring Effective At Controlling Hypertension In African American Patients? A Clin-Iq, Rebecca Nye, Wilhelm Lehmann, Deborah Simpson Jul 2022

Is Home Blood Pressure Monitoring Effective At Controlling Hypertension In African American Patients? A Clin-Iq, Rebecca Nye, Wilhelm Lehmann, Deborah Simpson

Journal of Patient-Centered Research and Reviews

African Americans are disproportionately affected by hypertension, a modifiable contributor to multiple chronic diseases and premature death. Primary care physicians play an important role in hypertension control. Home blood pressure monitoring (HBPM) is an evidence-based method for confirming diagnosis and monitoring hypertension over time. Some studies have found that HBPM may lead to clinically relevant reductions in blood pressure when combined with additional interventions, but few studies have focused specifically on African American populations. Evidence of effectiveness could increase clinical recommendation of HBPM. This clinical inquiry examined whether HBPM improves blood pressure control in African Americans with uncontrolled hypertension. Reviewed …


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 …


Determining The Perception And Willingness Of Primary Care Providers To Prescribe Advanced Diabetes Technologies, Alexander O’Donovan, Sean M. Oser, Jessica Parascando, Arthur Berg, Donald E. Nease Jr., Tamara K. Oser Jul 2021

Determining The Perception And Willingness Of Primary Care Providers To Prescribe Advanced Diabetes Technologies, Alexander O’Donovan, Sean M. Oser, Jessica Parascando, Arthur Berg, Donald E. Nease Jr., Tamara K. Oser

Journal of Patient-Centered Research and Reviews

Advanced diabetes technologies have produced increasingly favorable outcomes compared to older treatments. Disparities in practice resources have led to a treatment disparity by clinical setting, where endocrinologists typically prescribe far more such technologies than primary care providers (PCPs). Fully automated artificial pancreas systems (APS), which combine technologies to deliver and adjust insulin dosing continuously in response to automatic and continuous glucose monitoring, may be more straightforward for PCPs to prescribe and manage, therefore extending their benefit to more patients. We aimed to assess willingness of PCPs to prescribe advanced diabetes technologies through a cross-sectional survey of PCPs from 4 geographically …


Using Clinical Decision Support Within The Electronic Health Record To Reduce Incorrect Prescribing For Acute Sinusitis, Regina Ginzburg, Justin J. Conway, Eve Waltermaurer, Wendy Song, Samantha P. Jellinek-Cohen Jul 2018

Using Clinical Decision Support Within The Electronic Health Record To Reduce Incorrect Prescribing For Acute Sinusitis, Regina Ginzburg, Justin J. Conway, Eve Waltermaurer, Wendy Song, Samantha P. Jellinek-Cohen

Journal of Patient-Centered Research and Reviews

Purpose: Acute sinusitis has viral etiology in more than 90% of cases, but antibiotics are prescribed for more than 80% of adults in the United States. While applications of computer-assisted guidelines have been found effective in reducing inaccurate prescribing for acute respiratory infections, there is a paucity of research focused specifically on the utilization of electronic best practice alerts (BPA) in improving treatment for acute sinusitis.

Methods: This observational cohort study examined prescribing behavior for sinusitis at a single Federally Qualified Health Center 1 year prior and during the first year of implementation of a BPA in the electronic health …