This project will adapt and evaluate a mobile health application to improve patient-reported asthma outcomes in New York.
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 project will use mobile health technology to collect patient-reported outcomes after dental procedures to optimize the quality of acute post-operative dental pain management.
This project will integrate the Computerized Adaptive Test for Mental Health into an electronic health record and evaluate the effectiveness of collecting depression symptoms with a patient portal.
This research will evaluate the lifecycle of clinical decision support (CDS), as currently implemented at most health systems, against a future CDS state that incorporates the use of shareable CDS resources created using the Agency for Healthcare Research and Quality’s CDS Connect tools.
This study will create an innovative electronic medication administration record prototype and a medication administration workflow risk assessment to improve the medication administration process and the usability and safety of the electronic medication administration records in response to challenges from COVID-19.
This project will create and evaluate a learning network to expand the use of the Rheumatology Informatics System for Effectiveness (RISE) registry for patient-reported outcomes on rheumatoid arthritis.
The project will develop a patient portal intervention to increase patient activation and promote collaborative decision making for patients with depression.
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 project will test the effectiveness of using patient-reported outcomes for cirrhosis collected with Patient Buddy and EncephalApp on hospital readmissions.