AHRQ Funded Projects
Search the entire portfolio of AHRQ-funded digital healthcare research projects. Projects can be identified by technology studied, medical condition, population, status of the project, principal investigator, organization, funding mechanism and location.
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Description: This research aims to examine changes in nursing clinical documentation from 2019 through the COVID-19 pandemic timeline to observe the impact of electronic health record burden on patient care.Principal Investigator: Rossetti, Sarah Collins, Yen, Po-YinProject Dates: June 01, 2022 to March 31, 2026
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Description: This research will study how a safety-net hospital responds to a pandemic, specifically COVID-19, to identify how information needs are met and how decisions are made and communicated to other individuals internal and external to the institution.Principal Investigator: Kaufman, David R., Senathirajah, YaliniProject Dates: January 01, 2021 to December 31, 2023
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Description: This research will evaluate a novel, technology-enabled intervention that will determine the impact of bedside shift reporting and hourly rounding on nurse-sensitive patient outcomes.Principal Investigator: Sun, Carolyn J.Project Dates: April 01, 2020 to March 31, 2023
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Description: This research study examined the relationships between clinician use of order sets, patient-level order variation, and patient outcomes and found that order set usage reduced order variation and improved patient outcomes in patients with sepsis.Principal Investigator: Zhang, JiajieProject Dates: September 01, 2019 to August 31, 2022
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Description: This research developed and evaluated Translate Evidence into Action, a clinical decision support system that identifies and supports management of patients with acute respiratory distress syndrome.Principal Investigator: Gong, MichelleProject Dates: September 01, 2018 to June 30, 2022
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Description: This study will evaluate the effectiveness of patient photographs displayed in electronic health record systems for preventing wrong-patient errors.Principal Investigator: Adelman, Jason StuartProject Dates: September 30, 2017 to July 31, 2023
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Description: This research showed that automated measurement of electronic order errors can be readily integrated into electronic health records to study the epidemiology of order errors and to test the effectiveness of proposed system improvements on order error outcomes.Principal Investigator: Adelman, Jason StuartProject Dates: September 01, 2016 to June 30, 2022
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Description: This project compared the risk of orders placed on the wrong electronic patient record when providers were limited to having one patient record open at a time versus up to four and found no difference in errors between the two.Principal Investigator: Adelman, Jason StuartProject Dates: September 30, 2014 to September 29, 2018
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Description: This study evaluated the effectiveness of an electronic medication reconciliation intervention by comparing outcomes pre- and post-implementation in six community-based primary care clinics and two inpatient facilities.Principal Investigator: Vawdrey, David KentProject Dates: September 30, 2009 to September 29, 2011
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Description: Implemented the newly developed Electronic Vision Rehabilitation Record and its tools to evaluate the effectiveness of current best practices and help refine practice as the evidence indicates.Principal Investigator: Stuen, CynthiaProject Dates: September 01, 2004 to August 31, 2008