This study will examine usability and safety hazards of electronic medication administration records, with a focus on communication and information flow between health information technology applications.
The project will develop a patient portal intervention to increase patient activation and promote collaborative decision making for patients with depression.
This project will use Learning Health System methods to systematically apply U.S. Preventive Services Task Force’s evidence-based recommendations with the goal of advancing individualized precision prevention.
This project will create and evaluate a learning network to expand the use of the Rheumatology Informatics System for Effectiveness (RISE) registry for patient-reported outcomes on rheumatoid arthritis.
This project will test the effectiveness of using patient-reported outcomes for cirrhosis collected with Patient Buddy and EncephalApp on hospital readmissions.
This project will examine the quality and safety impact of patient-initiated telemedicine visits with primary care providers.
This project will redesign approaches for collecting and using allergy information with the goal of improving healthcare quality and safety, including completeness and accuracy of allergy data.
This project proposes a novel proactive system to reduce alert burden and thereby increase attention to situations in which patient safety is at risk.
This research will support development and testing of technical tools for use within electronic health records or other systems to collect patient-reported outcomes for clinical use and research.
This contract provided the administration and management of the Agency for Healthcare Research and Quality's “Step Up App Challenge: Advancing Care Through Patient Self-Assessments.”