Search found 43 items
The aim of this research is to implement a clinical decision support tool to provide clinicians patient-specific and evidence-based treatment recommendations regarding the recognition and management of high blood pressure and hypertension in children and adolescents.
The purpose of this research is to develop a standards-based, interoperable, and publicly available clinical decision support resource to aid primary care practices in instituting routine fall risk assessment and prevention care plans.
This research will apply innovative health information technology strategies to improve methods for systematic collection and use of patient-reported outcomes in clinical care for those with multiple chronic conditions using person-specific patient-reported outcomes.
This research will use a clinical decision support tool to identify patients at high risk for type 2 diabetes and text message these patients, offering them in-clinic hemoglobin A1c testing.
This research will develop methods for measuring EHR communication networks—defined as EHR-based information sharing connections among healthcare professionals —in virtual care teams and to examine the relationship between EHR communication networks and care quality.
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 compared the risk of orders placed on the wrong electronic patient record when providers were limited to having one patient record open at a time versus up to four and found no difference in errors between the two.
This project convened stakeholder panels to inform the development of an indications-enabled computerized prescriber order entry system.
This project analyzed secondary data to identify factors associated with timely opening of electronic health record-based asynchronous alerts, timely response to the alerts, and patient outcomes.
This project will investigate older adults’ perceptions of, motivations to use, and patterns of using an adaptive, community-based, multiuser health kiosk.