- Remove Understanding Clinical Information Needs and Health Care Decision Making Processes in the Context of Health IT (R01) filter Understanding Clinical Information Needs and Health Care Decision Making Processes in the Context of Health IT (R01)
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In this study, researchers created new electronic health record-based decision support tools that guide clinicians’ perceptions and judgments of noncancer pain in ways that lead to increased use of guideline-based patient assessment and treatment of pain.
This project will develop design principles to enable more effective integration of patient-reported outcomes data into patient care activities through health information technology.
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.
This project will develop a series of standards for electronic health records to ensure adequate and accurate data communication for care team members in the intensive care environment.
This project will determine the optimal display of blood pressure data for patients and their physicians in order to facilitate shared decisionmaking about blood pressure control and treatment.
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.
This research studied how communication technologies facilitate or hinder communication between nurses and physicians with the ultimate goal of supporting effective communication.
This research developed an electronic health record prototype with a variety of functionalities focused on goal-directed work such as schedule coordination, task assignment, and information sharing to improve cognitive support among primary care providers.
This project will apply the science of human factors and cognitive engineering to the design of clinical decision support and information technology with the goal of improving patient safety.
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.