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Focusing on the work environment of nurses, this project will study the organizational conditions under which electronic health records function best in hospitals and their potential to improve the outcomes of medical-surgical patients.
This project will apply machine learning against a large data set to develop a model to both understand and predict surgical cancellations on individual pediatric patients at two pediatric surgical sites.
This project implemented and evaluated an ambulatory electronic health record integrated with an inpatient perinatal system and found that increased information availability enabled providers to identify problems and respond with more intensive care.
In this project, a clinical decision support tool was developed for Otitis Media, and then studied in a cluster randomized controlled trial to evaluate its impact on the quality of care of Otitis Media.
Created an information management environment that integrated patient care data, standardized practice variation and use of best practices, and supported the delivery of a seamless continuum of patient care throughout the health system through CPOE.
Implemented an EMR system that allows 24-hour data sharing across 7 rural health care delivery sites for clinicians to access current and completed patient information using either Personal Digital Assistants or a Web portal.