This project further developed the infrastructure of the Practice Partner Research Network (PPRNet) and enhanced its ability to conduct research to improve the primary health care system.
Learning Health System
This report was created to address the nationally significant challenge of developing comprehensive clinical datasets, collected in real world environments and accessible in real time, to support clinical research and to address public health concerns.
This project developed key findings and recommendations to achieving a national-scale “Learning Health System” for identifying and sharing effective practices of care.
The Patient-Centered Clinical Decision Support Learning Network was created as a multistakeholder collaborative to address barriers and facilitators, formulate recommendations, and take action to improve the adoption and use of patient-centered outcomes research-based clinical decision support.
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 project will study the impact of design on providers’ interactions with the electronic health record and identify strategies to enhance design to improve patient safety.
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.
The 2018-2020 annual Conference on Health IT & Analytics connected a wide range of academic disciplines, Federal agencies, policymakers, funders, practitioners, patient advocates, and industry professionals to develop a health information technology and analytics (HIT+A) research agenda and materials that were widely disseminated to identify trends and knowledge gaps in HIT+A.
Achieving Individualized Precision Prevention (IPP) through Scalable Infrastructure Employing the USPSTF Recommendations in Computable Form
This study used learning health system methods to systematically apply U.S. Preventive Services Task Force’s evidence-based recommendations with the goal of advancing individualized precision prevention.
This research investigated how shareable clinical decision support (CDS) resources fit into the CDS lifecycle involving CDS design, development, and deployment and assessed whether using resources through CDS Connect quantifiably improves efficiencies in the CDS lifecycle.