Academic Medical Center
This study will evaluate the effectiveness of patient photographs displayed in electronic health record systems for preventing wrong-patient errors.
This project studied patient portals, their use in primary care, and the impact of use on chronic conditions, and identified opportunities to improve adoption of patient portals.
This project will develop and evaluate an electronic health record-embedded clinical decision support tool that draws upon the strength of analytical and naturalistic decision-making to optimize the use of blood cultures in critically ill children.
This project created a natural language processing-enabled clinical decision support system to pull patient information and determine recommendations for cervical cancer screening, and demonstrated improvement in overall screening and surveillance rates.
This project evaluated SMARxT, web-based education modules designed to teach resident physicians how to effectively navigate and counteract pharmaceutical-sponsored messaging within technology.
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.
This research investigated how electronic health record use affected clinical workflow, efficiency, and quality of care in the emergency department, and developed recommendations for future stages of Meaningful Use.
This research studied how communication technologies facilitate or hinder communication between nurses and physicians with the ultimate goal of supporting effective communication.
This study will design a user-centered smartphone application linked to a smart pill box with the goal of improving medication adherence for people living with HIV.
This research created, piloted, and evaluated FIQS, the Family Input to Quality and Safety tool, that allows pediatric patients and their caregivers to provide safety reports regarding their inpatient care.