This research will develop and evaluate a machine learning-augmented and telemedicine-augmented sociotechnical intervention for postoperative handoffs to reduce the risks of patient complications and improve patient-centered care.
This research will develop and evaluate a COMputerized PAtient-centered Collaborative Technology (COMPACT) to support personalized breast cancer decision making.
This research study addressed the overuse of blood cultures to diagnose sepsis by developing an electronic health record-embedded clinical decision support tool that draws upon the strengths of analytical and naturalistic decision making.
This research studied how communication technologies facilitate or hinder communication between nurses and physicians with the ultimate goal of supporting effective communication.
This pilot project implemented a Social Knowledge Networking system and concluded that it supported progress toward meaningful use of medication reconciliation technology in an electronic health record.
The investigators used a mixed-methods approach to incorporate quantitative and qualitative research in developing and validating a health IT adaptation survey.
The purpose of this research was to investigate the relationships between electronic health record adoption and usability, work environment, and patient and nurse outcomes.
This project identified patients’ needs, preferences, and responses when receiving abnormal test result notifications through an electronic patient portal, and developed a usable prototype to improving test result communication.
This project assessed provider mental workload and performance while processing electronic abnormal test results and found that a test result tracking mechanism improved physicians’ clinical performance.
This project identified strategies that mitigate the stress associated with provider use of health information and communications technologies.
