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用于制药的对话代理:来自eCCo数据库的见解。

Conversational agents for pharmaceutical use: insights from the eCCo database.

作者信息

Guerreiro Mara Pereira, Henriques Helga Rafael, Mugellini Elena, Angelini Leonardo

机构信息

Nursing Research, Innovation and Development Centre of Lisbon, Nursing School of Lisbon, Lisbon, Portugal.

Egas Moniz Center for Interdisciplinary Research (CiiEM), Egas Moniz School of Health & Science, Monte de Caparica, Portugal.

出版信息

Int J Clin Pharm. 2025 Jul 21. doi: 10.1007/s11096-025-01948-6.

Abstract

Conversational agents are computer programmes designed to replicate bidirectional human conversation through spoken or written language, potentially supplemented with nonverbal features. The eCCo database is a searchable repository of primary studies on conversational agents in health and well-being. It catalogs 657 papers currently, published between 1991 and 2022; 51 address the use of medicines. Most of these papers focus on usability rather than rigorous effectiveness or implementation research, underscoring a need for more robust evaluation. The largest category of conversational agents for pharmaceutical use consists of non-embodied agents (n = 24), followed by virtual embodiment only (n = 19), most using virtual humans (n = 16). This database facilitates the comparison and appraisal of existing research in this field, while contributing to a more nuanced understanding of this technology through multidimensional attributes. We aim to enhance the database accuracy and expand its completeness beyond 2022 with the support of the global research community.

摘要

对话代理是旨在通过口语或书面语言复制双向人类对话的计算机程序,可能会辅以非语言特征。eCCo数据库是一个可搜索的关于健康和幸福领域对话代理的主要研究资料库。它目前编目了657篇论文,发表于1991年至2022年之间;其中51篇涉及药物使用。这些论文大多关注可用性,而非严格的有效性或实施研究,这凸显了进行更有力评估的必要性。用于制药用途的对话代理最大类别是无实体代理(n = 24),其次是仅虚拟化身(n = 19),大多数使用虚拟人(n = 16)。该数据库有助于比较和评估该领域的现有研究,同时通过多维度属性促进对这项技术更细致入微的理解。我们旨在在全球研究界的支持下提高数据库的准确性,并将其完整性扩展到2022年以后。

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