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 assessed the use of an electronic social needs screening tool integrated into the workflow of an emergency department setting that facilitated referrals for those in need, and found that although only a small subset of patients expressing need received referrals, the strategy showed promise to monitor population health post-discharge.
This research evaluated CareHeroes, an application to support caregivers of those living with dementia, and identified the app features most likely to be used, including chatbot resource links, a caregiver burden inventory, and a memory and behavior problem checklist.
This research developed and piloted CoolCraig, a wearable and connected system combining a smartwatch, mobile phone application, and web portal that delivers, reinforces, and sustains treatment for adolescents with attention deficit hyperactivity disorder.
This research developed methods for measuring electronic health record (EHR) communication networks—defined as EHR-based information-sharing connections among healthcare professionals—for virtual care teams and examined the relationship between EHR communication networks and care quality.
This research developed an mHealth text message intervention to improve the early identification of patients with hyperglycemia.
This research developed, tested, and evaluated visual presentations of patient-reported outcome (PRO) scores to facilitate the usability and understanding of PRO scores by patients and providers to improve shared decision making.
In this study, researchers employed and analyzed an artificial intelligence tool to improve the motivational interviewing capacities of health workers.
This study tested the feasibility, acceptability, and usability of a novel telemedicine application that incorporates a virtual pharmacist into the delivery of patient-centered palliative care.
This research developed strategies to optimize CancelRx implementation and measured its impact on dispensing errors and patient outcomes.
