Expert Insights on Conversational AI Systems as an Information Intermediary for Patients and Healthcare Providers for Diabetes Lifestyle Change: materials & collected data

This dataset consists of 1) worksheets for capturing participants' feedback on current diabetes care practices; 2) worksheets for collecting participants' opinions on proposed AI scenarios; and 3) a document with notes from a dedicated notetaker. The goal of this work is to gather healthcare experts' insights on the role of conversational intermediary AI (CIAI) in enhancing patient-provider communication.<br><strong>Study</strong>we conducted an exploratory focus group with healthcare experts to discuss the present state of diabetes care, illustrated through a storyboard that showcases interactions between a patient, a GP assistant, and an AI system for promoting healthy lifestyle changes. We also explored the proposed AI functionalities introduced in the storyboard.<br><strong>Data &amp; analysis</strong>During the sessions, participants used worksheets with structured discussion prompts and space for notes. A dedicated notetaker captured the verbal contributions, enriching the dataset with detailed expert insights.

本数据集包含三类内容：1）用于采集受试者对当前糖尿病诊疗实践反馈的工作表；2）用于收集受试者对拟议人工智能场景看法的工作表；3）由专职记录员整理的笔记文档。本研究的核心目标是收集医疗专家关于对话式中介人工智能（conversational intermediary AI, CIAI）在优化医患沟通中作用的见解。
<strong>研究</strong>：本研究针对医疗专家开展了探索性焦点小组讨论，围绕糖尿病诊疗现状展开研讨。研讨依托一则故事板展开，该故事板展示了患者、全科医师助理与助力健康生活方式养成的人工智能系统之间的交互场景。此外，我们还针对故事板中引入的拟议人工智能功能进行了深入探讨。
<strong>数据与分析</strong>：研讨过程中，受试者使用带有结构化讨论提示及笔记预留区域的工作表完成相关填写。专职记录员对所有口头发言内容进行了完整记录，为数据集补充了详实的专家洞察。