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 will evaluate the feasibility of a digital personal health record mobile application for longitudinal care planning, patient/family-centered goal tracking, and communication with providers all integrated with electronic health records by Fast Healthcare Interoperability Resources data standards to enhance care coordination for families of children and youth with special healthcare needs.
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.
The research developed and evaluated a user-centered clinical decision support tool for collaborative diet goal setting in the primary care setting, finding it feasible to implement and that it improved diet counseling competency.
This research will validate a shared decision making tool integrated with patient-reported outcomes and clinical data from electronic health records for enabling decision support in patients with knee osteoarthritis considering total knee replacement.
This research will apply innovative health information technology strategies to improve methods for systematic collection and use of patient-reported outcomes in clinical care for those with multiple chronic conditions using person-specific patient-reported outcomes.
This research will develop an information technology and implementation strategy for using patient-reported outcomes in primary care settings caring for diverse patients with multiple chronic conditions.
