TY  - JOUR
AU  - Guo, XiaoRui
AU  - Xiao, Liang
AU  - Liu, Xinyu
AU  - Chen, Jianxia
AU  - Tong, Zefang
AU  - Liu, Ziji
PY  - 2025
DA  - 2025/3/4
TI  - Enhancing Doctor-Patient Shared Decision-Making: Design of a Novel Collaborative Decision Description Language
JO  - J Med Internet Res
SP  - e55341
VL  - 27
KW  - shared decision-making
KW  - speech acts
KW  - agent
KW  - argumentation
KW  - interaction protocol
AB  - Background: Effective shared decision-making between patients and physicians is crucial for enhancing health care quality and reducing medical errors. The literature shows that the absence of effective methods to facilitate shared decision-making can result in poor patient engagement and unfavorable decision outcomes. Objective: In this paper, we propose a Collaborative Decision Description Language (CoDeL) to model shared decision-making between patients and physicians, offering a theoretical foundation for studying various shared decision scenarios. Methods: CoDeL is based on an extension of the interaction protocol language of Lightweight Social Calculus. The language utilizes speech acts to represent the attitudes of shared decision-makers toward decision propositions, as well as their semantic relationships within dialogues. It supports interactive argumentation among decision makers by embedding clinical evidence into each segment of decision protocols. Furthermore, CoDeL enables personalized decision-making, allowing for the demonstration of characteristics such as persistence, critical thinking, and openness. Results: The feasibility of the approach is demonstrated through a case study of shared decision-making in the disease domain of atrial fibrillation. Our experimental results show that integrating the proposed language with GPT can further enhance its capabilities in interactive decision-making, improving interpretability. Conclusions: The proposed novel CoDeL can enhance doctor-patient shared decision-making in a rational, personalized, and interpretable manner. 
SN  - 1438-8871
UR  - https://www.jmir.org/2025/1/e55341
UR  - https://doi.org/10.2196/55341
UR  - http://www.ncbi.nlm.nih.gov/pubmed/40053763
DO  - 10.2196/55341
ID  - info:doi/10.2196/55341
ER  -