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This research will assess the impact of AHRQ’s 2016 clinical decision support (CDS) initiative, understand the current state of patient-centered CDS, and identify gaps for future research.
This project aims to refine and develop methods to address missing electronic health record data to improve data quality and research validity.
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 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.
The central goal of the annual Conference on Health IT & Analytics is to develop a health information technology and analytics (HIT+A) research agenda that supports national efforts to create a learning health system that produces evidence to make health care safer, of higher quality, more accessible, equitable, and affordable.
This project will design natural language processing algorithms to extract data from free text notes on autism spectrum disorders in electronic health records, and demonstrate the feasibility and usefulness of this approach.
The goal of this project is to generate a systematic and replicable process for transforming evidence-based research findings, including findings from patient-centered outcomes research, into shareable clinical decision support (CDS) standards and a publicly available CDS prototype.
This project supported a 2-day conference called the Ethics in Investigational and Interventional Uses of Immersive VR (e3iVR), hosted by the Living Environments Laboratory at the University of Wisconsin-Madison.
The Patient-Centered Outcomes Research Clinical Decision Support Learning Network (PCOR CDS-LN) will explore the facilitators and barriers to the use of PCOR findings in CDS software and will formulate recommendations for ways to increase the uptake and use of CDS incorporating PCOR findings.
This research linked a web viewer for 3D models of patient homes to an electronic health record so that the models could be viewable and annotated from within a patient’s record for better discharge planning.