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This project will implement a social needs assessment in an emergency department and evaluate its impact on health outcomes.
This study will test the hypothesis that low-income, disadvantaged patients can provide high-quality patient-generated health data and patient-reported outcomes through commercial technologies, and that these data can be used to improve healthcare quality and delivery.
The goal of this project was to inform development of several Stage 3 Meaningful Use patient engagement objectives.
This project designed and pilot tested a dashboard that synthesizes patient data from a registry and found that it decreased the average monthly visit no-show rate.
This project developed nine obesity care quality measures and developed and validated the use of an automated method using natural language processing to utilize the measures.
A meeting on health disparities was held to build a research and action agenda for reducing disparities in health care quality among priority populations.
This project refined a set of asthma care quality measures and developed and validated the use of an automated method using natural language processing to utilize the measures.
This project analyzed the efficacy of using clinical decision support and performance feedback to improve the control of hypertension in patients treated in community health centers.
This project evaluated whether an interactive voice response system used by parents prior to routine health maintenance visits could improve parental activation, the comprehensiveness of care provided, and medication safety.
Develops a secure, comprehensive, virtual health record for medically underserved patients that will lead to the implementation of a health IT infrastructure necessary to support a single, shared EMR application to promote the community-wide exchange of patient information for clinical decision support, research, and disease management on behalf of low-income, uninsured people.