Health Information Technology (IT) to Improve Health Care Quality and Outcomes (R21)
This research aims to enhance and implement a clinical decision support tool that will support providers and underinsured patients in making personalized decisions regarding diet goal setting.
This research aims to determine the feasibility, acceptability, and outcomes associated with the use of Cloud Care, a cloud-based multidisciplinary care plan for children with medical complexity.
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 aims to create, develop, and implement a decision support tool that clarifies the risk tradeoffs for anticoagulation in atrial fibrillation.
This research will estimate the cost-effectiveness of pharmacogenomics clinical decision support alerts and create a tool that provides estimates of the value of developing and implementing them.
This research will evaluate the safety, usability, and impact of an e-prescribing standard on adverse drug events related to erroneously dispensed medications.
This research will evaluate the impact on patient and provider outcomes from integrating a virtual pharmacist into a telehealth-based palliative care model.
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 aims to develop and test visual presentations of patient-reported outcome (PRO) scores to facilitate the usability and understanding of PRO scores by patients and improve clinical decision making.
This research will use a clinical decision support tool to identify patients at high risk for type 2 diabetes and text message these patients, offering them in-clinic hemoglobin A1c testing.