- Remove Maryland filter Maryland
- Remove Puerto Rico filter Puerto Rico
- Remove Electronic Health Record/Electronic Medical Record filter Electronic Health Record/Electronic Medical Record
Search found 15 items
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 developed and pilot-tested a novel, outcomes-based emergency department triage tool and found that risk stratification and waiting times were improved for some patients.
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 evaluated the feasibility of two Stage 3 Meaningful Use Care Coordination measures and provided feedback to policymakers and providers for their improvement.
This project used qualitative methods to identify strategies for effective and efficient adoption of health information technology by home health agencies.
The AMIA Health Policy Invitational Meetings address cutting edge and complex topics at the intersection of health care and informatics with the goal to identify challenges with current policies, make recommendations for future policies, and identify research needs for advancing the topic of focus.
This project sought to identify obstacles to improving quality through technology by identifying an ideal future health information infrastructure that allows for actionable and prioritized national quality measurement and reporting.
While health information technology (IT) systems are expected to significantly reduce medication errors, studies have found that issues with usability and information design can actually facilitate errors or decrease the efficiency gains made possible by health IT.