This research will develop an information technology and implementation strategy for using patient-reported outcomes in primary care settings caring for diverse patients with multiple chronic conditions.
This research will enhance and test a tool which uses natural language processing to provide a real-time assessment of dialog during motivational interviewing training.
This research aims to create, develop, and implement a decision support tool that clarifies the risk tradeoffs for anticoagulation in atrial fibrillation.
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 project will evaluate the feasibility of implementing a quality improvement-driven, health information technology-enabled method for capturing patient-reported outcomes (PROs) after ambulatory surgical procedures.
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 will implement in pharmacies a patient-reported outcomes collection tool, PatientToc™, to collect data around medication adherence that can be used by pharmacists to improve adherence.
This research will evaluate an existing ambulance-based stroke telemedicine pilot program in order to develop guidelines to expand the program.
This research will further disseminate a currently used clinical decision support tool to identify patients at risk for a life threatening, uncommon cardiac arrhythmia.