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 will enhance, refine, and evaluate an artificial intelligence-supported tool that collects patient-reported outcomes to inform care and improve glycemic control for patients with poorly controlled diabetes.Principal Investigator: Schoenthaler, Antoinette, Mann, Devin MProject Dates: July 01, 2023 to May 31, 2028
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Description: This research developed, tested, and evaluated visual presentations of patient-reported outcome (PRO) scores to facilitate the usability and understanding of PRO scores by patients and providers to improve shared decision making.Principal Investigator: Gold, Heather, Bertini, EnricoProject Dates: September 30, 2019 to September 29, 2021
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Description: This project will evaluate the effects of a technology-based patient-reported outcomes system on patient management of type 2 diabetes in primary care practices.Principal Investigator: Schoenthaler, Antoinette, Mann, Devin MProject Dates: September 01, 2018 to June 30, 2023
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Description: This research evaluated the implementation and effectiveness of a clinical decision support tool designed to support the delivery of recommended care to hospitalized patients with heart failure, regardless of the reason for hospitalization.Principal Investigator: Blecker, Saul B.Project Dates: September 30, 2014 to September 29, 2018
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Description: This project implemented a personal health record and population-level dashboard to assist lay health workers in a church-based setting with the goal of improving blood pressure control, and succeeded in increasing the number of participant physician visits and total fruit and vegetable consumption.Principal Investigator: Schoenthaler, AntoinetteProject Dates: September 01, 2012 to August 31, 2015
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Description: This project pilot tested and evaluated a smoking cessation clinical decision support system, finding it was feasible to implement, easy to use and helpful for patient care, and led to an increase in patient quit attempts.Principal Investigator: Shelley, DonnaProject Dates: September 30, 2011 to September 30, 2014