This research will develop and validate a clinician-facing longitudinal risk-prediction tool using self-reported data from US military service members and veterans, to assist clinicians in screening, evaluation, and timely intervention in suicide ideation and suicide attempts.
This research will adapt and disseminate an effective clinical decision support tool and a patient-facing SMART on FHIR application to help patients and their doctors make informed, patient-centered decisions regarding lung cancer screening.
This study will integrate a previously piloted risk tool and clinical decision aid, MammoScreen, with an EHR to provide personalized decision support for both patients and clinicians to improve quality of care for women who are at increased risk for breast cancer.
Researchers successfully developed Decision Precision+, a shared decision making tool that increases appropriate screening for lung cancer, as a SMART on FHIR app that pulls data from the electronic health record to enable providers to have an individualized risk-benefit discussion with at-risk patients on whether lung cancer screening is right for them.
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 an mHealth text message intervention to improve the early identification of patients with hyperglycemia.
This research demonstrated the feasibility of using advanced decision support techniques and data segmentation to protect patients’ privacy to screen for intimate partner violence in primary care settings.
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 evaluated the appropriateness, acceptability, feasibility, and effectiveness of the Gabby Health Information Technology System among Black and African American women receiving care at community-based clinical sites.
