UPCOMING
Feb. 4, 2026
10am ET //
3pm UTC
|
Benjamin Daniels
PhD student,
Harvard T.H. Chan School of Public Health
Benjamin Daniels is a doctoral student in the Global Health Department at the Harvard T.H. Chan School of Public Health, where his dissertation focuses on developing scalable methods for global health care quality measurement. His prior work at the World Bank Group and Georgetown University advanced the theory and implementation of direct measurement of provider knowledge and practice, supporting some of the largest quality-of-care studies to date using clinical vignettes and standardized patients in low- and middle-income settings worldwide.
The mission behind the Harvard T.H. Chan School of Public Health is clear: Improve health and promote equity so that everyone can thrive. Their researchers work with other Harvard departments and other organizations to further that goal.
In this latest effort, Benjamin Daniels and his research team—who have a long history of working with medical providers—worked on a more cost-effective way to conduct clinical vignettes, which are crucial to measuring the competencies of medial professionals.
However, while clinical vignettes are very effective ways to measure competence and adherence to medical protocols, they can be costly to scale, particularly if humans are brought in to be trained and act as patients. This is especially true in resource-constrained environments.
This webinar focuses on a joint collaboration between Benjamin and his research team at the Harvard Chan School, Harvard Medical School, HAIVN (Health Advancement in Vietnam), and StITCH (Strengthening the Integrated Treatment and Care for Hepatitis) to not only create a more cost-effective way to scale open-ended interviews (e.g. clinical vignettes), but ensure that there were controls in place to validate the quality of the results.
In this webinar, Benjamin will share how he and his research team customized SurveyCTO’s LLM Conversations field plug-in to create a low-cost, AI-powered, chat-based tool that was used to evaluate clinical competencies.
If you’ve been thinking about how to leverage AI to scale open-ended interviews while still controlling for quality, make sure to register for this webinar to learn how a team of Harvard researchers used SurveyCTO to achieve this balance!
Curious about how SurveyCTO can support your next data collection project? Start a free trial today to start collecting high-quality data.