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Search found 11 items
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 research linked a web viewer for 3D models of patient homes to an electronic health record so that the models could be viewable and annotated from within a patient’s record for better discharge planning.
This study assessed the usability and impact of inpatient portals on patient experience, engagement, and perceptions of care.
This project evaluated the use of an in-room interactive monitor to improve patient-centered care and family engagement within a pediatric intensive care unit.
This project will inform the design of electronic health records to support the cognitive work of primary care clinicians and teams.
This project sought to reduce the use of emergency department services for non-urgent care by improving access to primary care physicians for Medicaid patients via the electronic medical record.
This project used a mixed-method approach to investigate the validity of using electronic health record data for diabetes performance measures.
Drs. Pascale Carayon and Ben-Tzion Karsh led a team that studied the existing research related to the impacts of health IT on workflow in outpatient settings and how health IT can be used to assess workflow in these settings. The information led to the development of a toolkit to help small and medium-sized medical practices assess their workflows before implementing a health IT system.
Planned the implementation of a common infrastructure for an integrated EHR and CPOE to enhance access to clinical data, developed a workable model/plan for standards-based data sharing to allow multiple providers using disparate information systems to access patient information, and created a quality measurement and enhancement tool that measures improvements in quality and patient care.
Implemented an Epic health IT system and diffused the system community-wide; identified the prevalence of medication errors, near misses, and preventable adverse drug events; assessed costs and customer satisfaction both before and after implementation.