Preventive Medicine

This research developed and evaluated three clinical decision support interventions to promote influenza vaccinations among hospitalized children and found that the tools increased vaccine uptake.

This study adapted and implemented an electronic sexually transmitted infection (STI) risk assessment program in general pediatric practices in the St. Louis metropolitan area, successfully increasing screening and testing among adolescents in this high-incidence area.

This research developed and evaluated the Prevent Diabetes Mellitus Clinical Decision Support tool and found that its use improved processes related to care.

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 used natural language processing and machine learning to develop algorithms to recognize diagnostic criteria in free text for autism spectrum disorder, to increase earlier diagnosis and treatment.

This project created a natural language processing-enabled clinical decision support system to pull patient information and determine recommendations for cervical cancer screening, and demonstrated improvement in overall screening and surveillance rates.

This research assessed the use of a multi-risk adolescent interactive health assessment screening tool in pediatric primary care settings, which found an increased rate of clinician counseling for endorsed behaviors, but no significant change in reported risk behaviors or patient satisfaction.