Date of Award
2022
Document Type
Thesis
Degree Name
Bachelors
Department
Natural Sciences
First Advisor
Lepinski, Matthew
Area of Concentration
Computer Science
Abstract
This thesis describes a qualitative evaluation of a consent flow for a chatbot being developed by a large U.S. health insurance company. This chatbot’s use of a cloud service provider triggers a requirement for users to agree to a HIPAA Authorization. I interviewed 12 participants about their feelings and understandings regarding the chatbot, HIPAA, and online privacy. I observed that most users in my study, even healthcare privacy experts, missed important information in the authorization even after I asked them to review it again. I also show that many people have a limited understanding of how and where HIPAA protects healthcare data. Given these re- sults, I argue the need for research on alternate approaches to health data disclosures such as standardized disclosures; methods borrowed from clinical research contexts such as multimedia formats, quizzes, and conversational approaches; and automated privacy assistants.
Recommended Citation
Young, Ellie, "HIPAA POTTER AND THE PRIVACY CONSENT POP-UP OF SECRETS" (2022). Theses & ETDs. 6507.
https://digitalcommons.ncf.edu/theses_etds/6507