This research, using data from the country’s largest telehealth provider and claims from a large commercial payer, will examine the impact of the COVID-19 pandemic and telehealth on utilization, outcomes, disparities, and public health surveillance.
This research will study how a safety-net hospital responds to a pandemic, specifically COVID-19, to identify how information needs are met and how decisions are made and communicated to other individuals internal and external to the institution.
This research will develop and evaluate an artificial intelligence-driven clinical decision support system to detect and manage acute kidney injury in the emergency department.
This research aims to examine a health system’s four telehealth programs in response to the COVID-19 pandemic.
This research will implement a personalized and electronically integrated shared clinical decision support system for left ventricular assist devices in patients with advanced heart failure.
This is a questionnaire designed to be completed by clinical and office staff in a pediatric setting. The tool includes questions to assess staff attitudes and assessment of a clinical decision support tool.