The researchers developed a mobile health application to distribute evidence-based pain self-management strategies to patients with juvenile idiopathic arthritis.
This research pilot tested a sickle cell disease mobile application that was found to reduce acute care visits by patients with the condition.
This project developed and pilot-tested TJR App, a mobile application designed to help patients with osteoarthritis track their pain and activity, and found that app users were more likely to track symptoms consistently, when compared to non-users.
This research assessed the use of a multi-risk adolescent interactive health assessment screening tool in pediatric primary care settings, which found an increased rate of clinician counseling for endorsed behaviors, but no significant change in reported risk behaviors or patient satisfaction.
This research team designed and tested an application called Power to the People to assist older patients to self-manage their chronic heart failure.
The Electronic Data Methods (EDM) Forum facilitated learning and collaboration among researchers and other key stakeholders who are generating the data, methods, and knowledge needed to build learning health systems that will improve patient care and outcomes.
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 developed and enhanced CDS Connect, an online platform that aimed to demonstrate a systematic and replicable process for transforming evidence-based research findings, including findings from patient-centered outcomes research, into publicly available, shareable clinical decision support.
In this study, researchers assessed the feasibility of using commercial off-the-shelf mobile technology, including phones and fitness trackers, to collect and report patient-generated health data and patient-reported outcomes from diverse, disadvantaged patients in an urban safety net health care system.
This project will develop and test a personalized motivational text messaging intervention to improve management of diabetes and depression in low-income populations.
