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.
The Electronic Data Methods Forum is charged with advancing the national dialogue on the infrastructure and methods of health research and quality improvement using electronic clinical data, with the goal of improving patient care and outcomes.
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.
This project created and evaluated a process to present quality data via physician’s online certification portal and found that the availability of that data did not result in improvement of quality measures.
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 study used cognitive systems engineering approaches to understand the decision making process in the emergency department and proposed models and solutions to some of the biggest challenges in practicing medicine in this complex environment.
This research studied how communication technologies facilitate or hinder communication between nurses and physicians with the ultimate goal of supporting effective communication.
This project studied the impact of changing the computing layout in a clinical exam room and evaluated its impact on workflow and patient centeredness.
This research implemented indication alerts, which occur when an ordered or prescribed medication lacks a corresponding problem on the patient’s problem list. The research found a significant increase in problem placement rates, a modest increase in order abandonment (when a wrong patient error was detected), and a slight increase in order retractions (when a wrong drug error was detected).
