This research will implement a personalized and electronically integrated shared clinical decision support system for left ventricular assist devices in patients with advanced heart failure.
This research will enhance and test a tool which uses natural language processing to provide a real-time assessment of dialog during motivational interviewing training.
This research will adapt a shared decisionmaking tool for lung cancer screening and create a shareable clinical decision support tool that can be integrated into any electronic health record system.
This research will create patient-centered, interoperable, shareable clinical decision support tools that will support providers and patients in making patient-centered decisions about management of hypertension.
This research will develop and disseminate sharable, interoperable drug-drug interaction decision-making tools that enable patient-centered shared decision making.
This project will develop and evaluate CoolCraig, a wearable and connected system combining a fitness tracker, mobile phone application, and web portal that will deliver, reinforce, and sustain treatment for adolescents with attention deficit hyperactivity disorder.
This project will evaluate the integration into clinical care of CareHeroes, an application to support caregivers of those with Alzheimer’s disease.
This project will expand, implement, and evaluate the use of a cancer screening platform, the Oncology Symptom Screening Initiative (OSSI), to improve psychosocial screening of cancer patients.
This research combined the artificial intelligence technology technique Dynamic Logic with natural language processing to create a model to predict risk of death over the next 12 months and found it was better than benchmark statistical and machine learning algorithms.
This project will determine the impact of using telemedicine to serve children with special healthcare needs living in rural and underserved communities.