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 is developing and evaluating a machine learning algorithm that uses existing electronic health record data to predict childhood asthma treatment response and better inform personalized treatment.
This study aimed to improve data exchange between public health and clinical care information systems, and across public health itself, to enhance data-informed decision making and surveillance of vaccine-preventable diseases, with findings indicating increased efficiency in both data access and staff effort.
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.
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 assessed an advanced technology-based intervention’s impact on nurse surveillance, improving bedside shift reporting and hourly rounding completion rates and establishing a baseline for the average time nurses spend providing direct patient care, revealing the time is significantly less than earlier studies suggested.
This research developed and evaluated a semi-automatic approach for conducting literature searches for systematic reviews.
Researchers surveyed the key features that distinguish active patient portal users from nonusers to best meet the needs of a diverse patient population and inform guidance in areas of need and improvement in portal design and implementation to improve access and reduce barriers.
This research study examined the relationships between clinician use of order sets, patient-level order variation, and patient outcomes and found that order set usage reduced order variation and improved patient outcomes in patients with sepsis.
This research evaluated a telemedicine program that allows specialist evaluation of a stroke patient in an ambulance by connecting paramedics to the specialist, and identified both facilitators and barriers to its use, with proposed remediations.
