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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- 13 results found
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Description: This research developed, refined, and assessed the validity of methods for handling missing data in distributed data networks, without sharing individual-level data, to improve data quality and research validity.Principal Investigator: Toh, DarrenProject Dates: September 30, 2018 to September 29, 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: This research evaluated the appropriateness, acceptability, feasibility, and effectiveness of the Gabby Health Information Technology System among Black and African American women receiving care at community-based clinical sites.Principal Investigator: Jack, BrianProject Dates: September 01, 2017 to December 31, 2022
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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
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Description: This project developed a relational agent system--a human animation program that interacts with patients--to deliver depression treatment to patients with chronic illness and comorbid depression and found the system to be feasible and user-friendly.Principal Investigator: Mitchell, SuzanneProject Dates: August 01, 2014 to July 31, 2017
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Description: The research team developed and evaluated a natural language processing allergy module that was used to study different types of allergies in an electronic health record.Principal Investigator: Zhou, LiProject Dates: September 30, 2013 to September 29, 2018
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Description: The overall goal of this study was to develop and assess a natural language processing application to facilitate medication reconciliation at the point of care.Principal Investigator: Zhou, LiProject Dates: July 01, 2012 to September 30, 2014
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Description: This project developed and tested the impact of a virtual patient on the clinical approach of primary care providers at a community health center serving refugee patients.Principal Investigator: Mollica, RichardProject Dates: September 30, 2011 to September 29, 2014
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Description: This study investigated the feasibility of extracting medication information from non-structured electronic clinical sources within an electronic health record.Principal Investigator: Zhou, LiProject Dates: September 30, 2009 to September 29, 2011