This project studied electronic health record use, workflow, physician-patient communication, cognitive load, and user satisfaction and found multiple factors that influence physicians' work practices and perceived workload.
This project developed dashboards to support clinical decision making in the emergency department and found that the new technology was readily accepted.
This project aimed to capture and understand how clinical work is actually done, and then to analyze how the efficiency and quality of care could be measurably improved through health information technology.
This project applied a human factors-based framework to understand factors associated with missed test results and found that health information technology is a key barrier to test followup.
The project team developed automated methods for identifying relevant new information versus redundant information in electronic health record clinical notes.
This research study implemented a sociotechnical systems approach to the development of a health information technology-supported process for preventing and diagnosing venous thromboembolism.
This research studied the barriers and usability of electronic and personal health records, developed a framework of best practices for design, and validated that framework with functional prototypes.
This research used a human-centered design approach to understand the cognitive work of clinical teams involved in pediatric trauma care transitions that informed the development of two prototypes for digital healthcare solutions that support clinicians caring for pediatric trauma patients.
The research team identified key information needs for clinicians providing and coordinating care for patients with complex medical, social, and economic needs, and developed and tested design principles for electronic health record systems to support social determinants of health data capture and clinical decision support.
