Establishing a usability cut-point for the health information technology usability evaluation scale (Health-ITUES).
A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment and Prevention Among Hospitalized Patients
This research will develop, train, test, and evaluate a machine learning classifier to identify risk for HIV acquisition or transmission among hospitalized patients with substance misuse.
Dissemination of the WiseApp for Improving Health Outcomes Across Settings
This research will evaluate the use of WiseApp, a medication tracker mobile app linked to a smart pill box aimed at improving medication adherence in those living with HIV, focusing on Latinos in the United States and the Dominican Republic.
Use of the FITT framework to understand patients' experiences using a real-time medication monitoring pill bottle linked to a mobile-based HIV self-management app: a qualitative study.
Implementation and Evaluation of psPRO: Person-Specific Patient-Reported Outcome Assessments for Patients in HIV Care Living with Multiple Chronic Conditions
This research will apply innovative health information technology strategies to improve methods for systematic collection and use of patient-reported outcomes in clinical care for those with multiple chronic conditions using person-specific patient-reported outcomes.