Patient-Centered Care

The study will develop and test a vendor-compatible clinical decision support system to support intensive care unit nurses and physical therapists at the point of care in the timely identification of patients suitable for activity interventions and the creation of personalized activity plans.

This conference convenes interdisciplinary experts from the United States and abroad to define priorities and goals for researching technology use in Long-Term Post-Acute Care (LTPAC), and to identify factors that support or hinder its adoption in LTPAC settings, aiming to promote safer, higher quality, more accessible, and equitable LTPAC globally.

The study will create and implement digital tools using the SMART on FHIR framework to support Age-Friendly care in clinical practice and institutional decision-making.

This research is developing and testing VR-Choice, an immersive virtual reality experience designed to increase patient willingness to engage in shared decision-making for medications for opioid use disorder after being treated for an opioid-related overdose in the emergency department.

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 use a consensus conference format during the 2023 Society for Academic Emergency Medicine conference to develop and publish an actionable research agenda for precision emergency medicine with a focus on improving patient outcomes by using a patient’s genomic, biologic, environmental, and public health data.

This research will design, develop, implement, and evaluate the Patient Centered Adaptive Treatment Strategies (PCATS) juvenile idiopathic arthritis (JIA) tool called “PCATS.JIA.” a shared decision-making tool for monitoring and treatment of polyarticular juvenile idiopathic arthritis in children.

This research will adapt an evidence-based digital health intervention for attention deficit hyperactivity disorder in children to improve communication and care coordination across multiple points of care.

This research will adapt a pain management virtual reality application for use on a smartphone to manage pain during dressing changes in pediatric burn patients.

This research will develop, implement, and evaluate an artificial intelligence-enabled workflow that would allow for online reading and same-day diagnostic imaging following screening mammography in breast cancer screening clinics.