Search found 57 items
This project developed and evaluated a clinical decision support system that effectively communicated genomic data to clinicians to improve healthcare decision making.
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 explored whether the use of data from pain management practices can be used to develop more robust evidence-based approaches to chronic pain management.
This study examined clinical decision task complexity to guide the design of innovative clinical decision support to for high-level reasoning in complex decision tasks.
This project built an automated intervention that recognized critical imaging results that require additional testing and populated a discharge summary with recommendations, resulting in improved patient followup.
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 project assessed quality measurement performance and electronic health record (EHR) implementation and found that EHR reminders were associated with improved performance.
This project developed, implemented, and assessed a patient data collection and clinician feedback system for depression care management in primary care practices, and found improvements in patient medication filling and adherence.
This project developed and piloted a patient-centered clinical decision support tool that was used in emergency department management of minor head injury and found high patient and clinician satisfaction and usability.
This project developed dashboards to support clinical decision making in the emergency department and found that the new technology was readily accepted.