Quality Improvement

This study will develop and establish the efficacy of an actionable predictive model to identify pregnant individuals at high risk for postpartum hemorrhage which can be used in combination with a clinical decision support tool to reduce the risk of hemorrhage-related morbidity and improve maternal health outcomes.

The study will develop and test a vendor-compatible clinical decision support system to support intensive care unit nurses and physical therapists at the point of care in the timely identification of patients suitable for activity interventions and the creation of personalized activity plans.

This conference convenes interdisciplinary experts from the United States and abroad to define priorities and goals for researching technology use in Long-Term Post-Acute Care (LTPAC), and to identify factors that support or hinder its adoption in LTPAC settings, aiming to promote safer, higher quality, more accessible, and equitable LTPAC globally.

This research will develop, implement, refine, and evaluate an app to support clinical decisions for ST-Elevation Myocardial Infarction care in rural areas by emergency medical services providers, reducing the time between first medical contact and reperfusion therapy to reduce morbidity and mortality, and improve health outcomes.

This research will enhance an augmented reality headset used to provide real-time feedback on pediatric chest compressions. Researchers will evaluate the usability and user experience of the augmented reality cardiopulmonary resuscitation tool in an international multicenter randomized simulation study, with the aim of improving the quality of chest compressions and saving lives.

This research will develop and validate advanced statistical and machine learning methods to assess and improve representational semantic integrity of terminologies in large clinical databases.

This effort will convene a workshop entitled “Workshop to Inform Technology Innovation and Research for Medicaid Programs” to identify challenges faced by Medicaid beneficiaries and programs that are amenable to technology, ideate prototype solutions, and disseminate the findings.