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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- 6 results found
- x California
- x Artificial Intelligence
- x Clinical Messaging
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Description: This research will design, implement, and evaluate an emergency department triage machine learning algorithm, with an emphasis on predicted patient acuity and complexity, and incorporate it into a clinician-facing clinical decision support tool to promote safer, higher quality, and more equitable care.Principal Investigator: Sax, DanaProject Dates: September 30, 2023 to July 31, 2028
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Description: This research will develop, implement, and evaluate an artificial intelligence-enabled workflow that would allow for online reading and same-day diagnostic imaging following screening mammography in breast cancer screening clinics.Principal Investigator: Hsu, William, Hoyt, Anne CProject Dates: September 30, 2022 to September 29, 2027
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Description: Working with the American College of Rheumatology, this research created a clinical learning network to increase the use of rheumatoid arthritis patient-reported outcomes (PROs), developed a natural language processing algorithm to abstract PRO measures from the Rheumatology Informatics System for Effectiveness registry, and planned for a toolkit to disseminate best practices in the implementation of PROs.Principal Investigator: Yazdany, JinoosProject Dates: July 01, 2018 to April 30, 2022
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Description: This project will develop and test a personalized motivational text messaging intervention to improve management of diabetes and depression in low-income populations.Principal Investigator: Aguilera, AdrianProject Dates: September 01, 2017 to June 30, 2022
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Description: This research expanded a previously developed telepsychiatry application, adding in an automated language translation process to allow multi-language clinical evaluations to occur without human interpreters.Principal Investigator: Yellowlees, Peter M.Project Dates: September 30, 2016 to July 31, 2022
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Description: This project developed nine obesity care quality measures and developed and validated the use of an automated method using natural language processing to utilize the measures.Principal Investigator: Hazlehurst, Brian L.Project Dates: September 30, 2009 to March 31, 2013