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 create clinical decision support artifacts for three patient-centered outcomes research guidelines around advanced diagnostic imaging using standards to allow them to be shareable, interoperable, and scalable; and implement them in different workflows and settings measuring their impact.Principal Investigator: Lacson, RonildaProject Dates: September 30, 2022 to September 29, 2025
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Description: This study will develop, evaluate, and disseminate a multicomponent intervention including a mobile health application and digital navigator training to support safe care transitions for patients with multiple chronic conditions.Principal Investigator: Samal, Lipika, Dykes, PatriciaProject Dates: September 30, 2022 to July 31, 2027
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Description: This research will refine a current health information exchange platform to improve data exchange for inter-hospital transfers, evaluate its impact, and create a dissemination toolkit so that others may adopt this model.Principal Investigator: Mueller, StephanieProject Dates: August 01, 2022 to May 31, 2027
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Description: This research will use digital health tools leveraging patient-reported outcomes and data from electronic health records to engage individuals with multiple chronic conditions to improve understanding of individualized risk of adverse events during care transitions.Principal Investigator: Dalal, Anuj K.Project Dates: September 30, 2021 to August 31, 2026
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Description: This research iteratively designed and developed a standards-based, interoperable, and publicly available clinical decision support resource to aid primary care practices in instituting routine fall risk assessment and prevention care plans.Principal Investigator: Dykes, PatriciaProject Dates: August 01, 2020 to December 31, 2022
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Description: Researchers created a drug allergy module that detects inconsistencies in allergy information within the electronic health record and uses a dynamic picklist that puts answers in order of how important they are based on the allergen input.Principal Investigator: Zhou, LiProject Dates: May 07, 2018 to April 30, 2022
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Description: Researchers refined and implemented integrated digital healthcare enhancements to a previously developed, interactive, patient-centered discharge toolkit, finding that while patients used the toolkit, there were no significant changes in post-discharge healthcare utilization.Principal Investigator: Dalal, Anuj K.Project Dates: September 01, 2016 to August 31, 2019
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Description: This research assessed the utilization of a “smart” pillbox, a prefilled electronic medication tray that sends electronic alerts and reports to patients, caregivers, and primary care providers for patients discharged from the hospital, finding an increased medication adherence among patients on five or more chronic medications.Principal Investigator: Schnipper, Jeffrey LawrenceProject Dates: May 01, 2016 to April 30, 2019
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Description: This research studied errors in medical documents created with speech recognition software and developed natural language processing methods to detect such errors.Principal Investigator: Zhou, LiProject Dates: September 30, 2015 to September 29, 2019
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Description: This research combined the artificial intelligence technology technique Dynamic Logic with natural language processing to create a model to predict risk of death over the next 12 months and found it was better than benchmark statistical and machine learning algorithms.Principal Investigator: Turchin, AlexanderProject Dates: August 01, 2015 to May 31, 2019