Consolandi Monica, Floris Mara, Ganz Cristina, Paciscopi Noemi
Fondazione Bruno Kessler, Trento, Italy.
Università Vita-Salute San Raffaele, Milan, Italy.
PLoS One. 2025 Aug 4;20(8):e0328072. doi: 10.1371/journal.pone.0328072. eCollection 2025.
Effective communication is widely recognized as a cornerstone of successful medical treatment, as extensively documented in prior research. The doctor-patient relationship relies on clear, accurate information exchange to ensure precise diagnoses, treatment adherence, and patient satisfaction. Yet misunderstandings can seriously undermine this process, creating barriers to optimal care and weakening the therapeutic alliance-a critical element of effective healthcare. Consequently, identifying, understanding, and addressing these misunderstandings is essential. This paper introduces a novel approach to detecting and analyzing such misunderstandings in clinical interactions by drawing on concepts from the philosophy of language. Specifically, we present the ToUCAN Codebook, a structured framework designed to systematically classify and examine instances of textual miscommunication in doctor-patient dialogues. By offering a clear methodology for identifying and preventing potential communication breakdowns, the ToUCAN Codebook contributes to improved healthcare outcomes and a deeper understanding of the dynamics that shape medical discourse.
有效的沟通被广泛认为是成功医疗的基石，先前的研究对此有广泛记载。医患关系依赖于清晰、准确的信息交流，以确保准确诊断、治疗依从性和患者满意度。然而，误解会严重破坏这一过程，为最佳护理制造障碍，并削弱治疗联盟——有效医疗保健的关键要素。因此，识别、理解和解决这些误解至关重要。本文引入了一种新颖的方法，通过借鉴语言哲学的概念来检测和分析临床互动中的此类误解。具体而言，我们提出了ToUCAN编码手册，这是一个结构化框架，旨在系统地分类和检查医患对话中的文本沟通失误实例。通过提供一种识别和预防潜在沟通障碍的清晰方法，ToUCAN编码手册有助于改善医疗结果，并更深入地理解塑造医学话语的动态过程。
