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The goal of this project is to develop and evaluate an air traffic control-like command center for operating rooms.
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.
The investigators used a mixed-methods approach to incorporate quantitative and qualitative research in developing and validating a health IT adaptation survey.
This study assessed the usability and impact of inpatient portals on patient experience, engagement, and perceptions of care.
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.
Citizens Memorial Healthcare (CMH) will establish the standardization efforts necessary for data capture of quality measures in an ambulatory EMR system and demonstrate the efficiency and accuracy of using a data extraction and reporting expert to perform quality measurement in the ambulatory care setting. CMH will standardize and integrate data capture for quality of care measurement into the normal documentation of care within the ambulatory EMR.
Created a community-wide EMR with integrated clinical decision support that is available across the continuum of care including a rural hospital, a home health agency, 14 physician clinics, and 5 long-term care facilities.