Search found 33 items
This study will examine usability and safety hazards of electronic medication administration records, with a focus on communication and information flow between health information technology applications.
The central goal of the annual Conference on Health IT & Analytics is to develop a health information technology and analytics (HIT+A) research agenda that supports national efforts to create a learning health system that produces evidence to make health care safer, of higher quality, more accessible, equitable, and affordable.
This project will develop a method to use video captured electronic health record interactions to analyze the context around medication errors, identify design elements that contributed to the errors, and make design recommendations to mitigate those errors.
This project will develop and evaluate an electronic health record-embedded clinical decision support tool that draws upon the strength of analytical and naturalistic decision-making to optimize the use of blood cultures in critically ill children.
This project will optimize and implement a vendor-agnostic eLearning program that supports older adults in using patient portals for their care.
This project will provide an evidence base to better inform user-centered design and implementation processes to improve health information technology, usability, and safety.
The project will develop and pilot a novel, outcomes-based emergency department triage tool to predict patients’ risk for time-sensitive critical health events.
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.
The objectives of the 2015 and 2016 AMIA Policy Invitational meetings are to develop consensus recommendations on policy to improve health information technology for patient care, facilitate research, and manage the health of populations.
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.