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This research will validate a shared decision making tool integrated with patient-reported outcomes and clinical data from electronic health records for enabling decision support in patients with knee osteoarthritis considering total knee replacement.
This research will support the development and testing of two electronic care plan applications and implementation guide for managing persons with chronic kidney disease and at least one additional chronic condition.
This research will further scale clinical decision support aimed at preventing the prescription of inappropriate medications to older adults upon discharge from the emergency department.
This research will adapt a shared decisionmaking tool for lung cancer screening and create a shareable clinical decision support tool that can be integrated into any electronic health record system.
This research’s goal is to show that interoperability, including adoption of regional health information exchanges, improves mortality rates and care efficiency at the population and patient levels.
This research will develop methods for measuring EHR communication networks—defined as EHR-based information sharing connections among healthcare professionals —in virtual care teams and to examine the relationship between EHR communication networks and care quality.
This research will demonstrate the use of standards, including SMART on FHIR, combined with service-oriented architecture to bring vendor-agnostic clinical decision support (CDS) tools into commercial electronic health records, and provide evidence for how to implement validated CDS for important clinical domains, pulmonary, and venous thromboembolism, including for patients with COVID-19.
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 design, implement, and evaluate a comprehensive set of tools in an electronic health record (EHR) to support improved intimate partner violence care.