학술논문

Novel Computational Linguistic Measures, Dialogue System and the Development of SOPHIE: Standardized Online Patient for Healthcare Interaction Education
Document Type
Periodical
Source
IEEE Transactions on Affective Computing IEEE Trans. Affective Comput. Affective Computing, IEEE Transactions on. 14(1):223-235 Jan, 2023
Subject
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Medical services
Prognostics and health management
Training
Cancer
Trajectory
History
Affective computing
Virtual agent
sentiment
physician education
communication skills
physician-patient relations
oncology
cancer
palliative care
Language
ISSN
1949-3045
2371-9850
Abstract
In this article, we describe the iterative participatory design of SOPHIE, an online virtual patient for feedback-based practice of sensitive patient-physician conversations, and discuss an initial qualitative evaluation of the system by professional end users. The design of SOPHIE was motivated from a computational linguistic analysis of the transcripts of 383 patient-physician conversations from an essential office visit of late stage cancer patients with their oncologists. We developed methods for the automatic detection of two behavioral paradigms, lecturing and positive language usage patterns (sentiment trajectory of conversation), that are shown to be significantly associated with patient prognosis understanding. These automated metrics associated with effective communication were incorporated into SOPHIE, and a pilot user study identified that SOPHIE was favorably reviewed by a user group of practicing physicians.