Academic Medical Center
This project developed a natural language processing electronic health record search tool that automatically identifies and ranks relevant clinical information based on a patient’s presenting complaint within the emergency department setting.
This project will develop and validate new measures needed for automatically identifying violations of the “Five Rights of Medication Safety”: right patient, right dose, right medication, right route, and right frequency.
This project will study health information technology adaptation using sociotechnical theory.
This project will provide patients direct access to their cancer genomic sequencing results through a Web-based portal, Helping Oncology Patients Explore-Genomics (HOPE-Genomics).
This project will develop a mobile health application to improve screening, intervention, and referrals in the care of pregnant women.
This project applied a user-centered design process to understand the needs and attitudes for sharing patient-collected lifelog data with providers to improve management and decision making.
This research evaluated the implementation and effectiveness of a clinical decision support tool designed to support the delivery of recommended care to hospitalized patients with heart failure, regardless of the reason for hospitalization.
This project will study the impact of errors in medical documents on quality of care and develop innovative natural language processing methods to automatically detect errors so that physicians can correct the documents before finalizing them in the electronic health record.
This project developed, implemented, and evaluated a voice-generated enhanced electronic note system and found that it did not improve the time to finalize notes or clinician satisfaction.
This project seeks to develop an understanding of the cognitive work of clinician teams and family members involved in pediatric trauma care transitions in order to design usable and useful health information technologies.