Search found 108 items
This research will further scale clinical decision support aimed at preventing the prescription of inappropriate medications to older adults upon discharge from the emergency department.
This project will evaluate the feasibility of implementing a quality improvement-driven, health information technology-enabled method for capturing patient-reported outcomes (PROs) after ambulatory surgical procedures.
This project aims to refine and develop methods to address missing electronic health record data to improve data quality and research validity.
This project will develop and evaluate an electronic clinical decision support tool for care of patients with Acute Respiratory Distress Syndrome.
This project will identify orthopedic clinical outcome measures that are most important to patients, and study the impact on satisfaction and outcomes when this information is provided to patients and their doctors.
This project will examine health information exchange (HIE) usage patterns, the barriers and facilitators of HIE use, and the impact of HIE use by emergency department clinicians.
This project will enhance novel algorithms for matching patient health information across data sources, implement them, and evaluate their accuracy.
This pilot project implemented a Social Knowledge Networking system and concluded that it supported progress toward meaningful use of medication reconciliation technology in an electronic health record.
This research created, piloted, and evaluated FIQS, the Family Input to Quality and Safety tool, that allows pediatric patients and their caregivers to provide safety reports regarding their inpatient care.
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.