Ambulatory Care

The study will develop and implement a validated machine learning model to optimize voiding cystourethrogram timing and use for diagnosing vesicoureteral reflux (VUR) in children, aiming to reduce the significant health and economic impacts of VUR and recurrent febrile urinary tract infections (fUTIs) by standardizing practices, minimizing unnecessary procedures, and ensuring timely diagnosis for those at highest risk, ultimately seeking to prevent renal injury from fUTIs.

The study will create, implement, and test a patient-centric web app to support older adults with chronic conditions in comprehending, managing, and acting upon their lab test results.

This research will create clinical decision support artifacts for three patient-centered outcomes research guidelines around advanced diagnostic imaging using standards to allow them to be shareable, interoperable, and scalable; and implement them in different workflows and settings measuring their impact. 

This research will create the Shared Decision Aid Navigator System to improve the implementation, integration, and scaling of patient shared decision aids into health informatics systems, aiding shared decision making and improving patient-centered outcomes.

This research aims to examine changes in nursing clinical documentation from 2019 through the COVID-19 pandemic timeline to observe the impact of electronic health record burden on patient care.

This research will adapt and implement a digital mental health intervention to improve care coordination of mental health services in ambulatory care settings.

This research continues to build the Clinical Decision Support Innovation Collaborative (CDSiC) to advance the field of patient-centered clinical decision support, including a focus on conducting CDS research initiatives and projects in real-world applications.

This research will study the implementation of Telehealth Education for Asthma Connecting Hospital and Home (TEACHH), a novel intervention designed to provide an effective asthma educational platform appropriate for all health literacy levels. The intervention includes initial instruction in the hospital and reinforcement at home using virtual visits to reduce barriers to self-management support for children who are hospitalized due to asthma.