A5076483452- Electronic Health Records Systems
- Health Literacy and Information Accessibility
- Ethics in Clinical Research
- Research Data Management Practices
- Healthcare Systems and Technology
- Rheumatoid Arthritis Research and Therapies
- Biomedical Text Mining and Ontologies
- Artificial Intelligence in Healthcare
- Machine Learning in Healthcare
Memorial Sloan Kettering Cancer Center
2024
Immigrant populations with limited English proficiency (LEP) confront more challenges than those in using healthcare technology the U.S. Our case study, conducted collaboration Health and Cancer Disparities (IHCD) Center at Memorial Sloan Kettering (MSK), explores how LEP patients interact patient portals translated their preferred language. Through semi-structured interviews usability testing, we found that individuals 1) encounter barriers during portal enrollment, 2) perceive increased...
e13651 Background: Manual abstraction of data from a site’s clinical systems to biopharmaceutical firm’s electronic capture (EDC) system is inefficient and error prone. In partnership with managers (DMs), we used human-centered design thinking methodology create web application, CTDataHub, reduce the effort associated this process. CTDataHub extracts consolidates adverse events (AE) concomitant medications (ConMed) displays it in user-friendly view for easy entry into EDCs. Methods: was...
Clinical Research Coordinators (CRC) are the backbone of clinical trials, conducting extensive data work to support research team. Existing systems, optimized for document management rather than research, offer limited capabilities CRCs' workflow, making retrieval laborious and error-prone. CTDataHub is an information system designed through participatory design with CRCs at a large academic medical center address these challenges empower them as workers. This study discusses impact that had...