This project will adapt and evaluate a mobile health application to improve patient-reported asthma outcomes in New York.
This project will examine the impact of implementing the e-Prescribing standard CancelRx on outpatient medication discrepancies and on clinic and pharmacy workflows.
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 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 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 study will examine usability and safety hazards of electronic medication administration records, with a focus on communication and information flow between health information technology applications.
The project will develop a patient portal intervention to increase patient activation and promote collaborative decision making for patients with depression.
This project will use 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 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.
This project will test the effectiveness of using patient-reported outcomes for cirrhosis collected with Patient Buddy and EncephalApp on hospital readmissions.