Chronic Disease Management

This study will evaluate the feasibility and effectiveness of providing chronic intestinal failure patients and their family caregivers with direct access to live, virtual, multi-disciplinary (multi-D) support and education on best practices from a team of experts and peers. Such support can improve patient outcomes by enhancing knowledge, increasing confidence in self-care, and fostering a support network where patients can share lived experiences.

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 develop, validate, and evaluate a decision support tool using a machine learning algorithm to standardize the approach to discontinuing disease-modifying therapies for multiple sclerosis.

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 study evaluated the feasibility of a mobile personal health record application integrated with electronic health records using Fast Healthcare Interoperability Resources standards for longitudinal care planning, goal tracking, and communication with providers among families of children and youth with special healthcare needs. It found that while technical feasibility and early adoption were high, sustained use was limited due to technical challenges and mixed user experiences.

This research will examine the factors affecting cancer patients’ use of an electronic patient safety event reporting system to communicate adverse medication-related events to their care team.

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