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This project will enhance novel algorithms for matching patient health information across data sources, implement them, and evaluate their accuracy.
This project will clarify the relationship between “pull” and “push” health information exchange usage in primary care settings, and determine the impact of each approach on potentially avoidable and costly health care utilization.
The purpose of this project was to leverage existing health information exchange data to improve quality measurement of two measures for potentially preventable emergency department visits.
This project implemented clinical decision support and clinical messaging to improve clinician reporting of notifiable conditions to public health agencies.
This project sought to identify existing, and create new, clinical quality of care metrics able to be reliably retrieved from electronic systems, such as electronic health records and health information exchanges.