Artificial Intelligence

This study will create an innovative electronic medication administration record prototype and a medication administration workflow risk assessment to improve the medication administration process and the usability and safety of the electronic medication administration records in response to challenges from COVID-19.

This study used learning health system methods to systematically apply U.S. Preventive Services Task Force’s evidence-based recommendations with the goal of advancing individualized precision prevention.

This research developed and evaluated Translate Evidence into Action, a clinical decision support system that identifies and supports management of patients with acute respiratory distress syndrome.

This research developed, refined, and assessed the validity of methods for handling missing data in distributed data networks, without sharing individual-level data, to improve data quality and research validity.