Algorithmic Compassion in Holistic Nursing: A Concept Analysis and Conceptual Model.

IF 1.6 Q2 NURSING
Roison Andro Narvaez, Marilane Ferrer, Ralph Antonio Peco
{"title":"Algorithmic Compassion in Holistic Nursing: A Concept Analysis and Conceptual Model.","authors":"Roison Andro Narvaez, Marilane Ferrer, Ralph Antonio Peco","doi":"10.1177/08980101261487731","DOIUrl":null,"url":null,"abstract":"<p><p>Purpose of StudyTo clarify algorithmic compassion as a nursing-relevant concept and examine its implications for holistic nursing.Design of studyWalker and Avant concept analysis with conceptual model development.MethodA structured literature search was conducted across nursing, biomedical, psychological, interdisciplinary, and technology-focused databases. Twenty-nine sources were retained because they directly supported concept use, defining attributes, antecedents, consequences, empirical referents, or case construction.FindingsAlgorithmic compassion was defined as an artificial intelligence (AI)-mediated caring interaction in which an algorithmic system interprets affective and distress cues, generates a simulated empathic response, adapts to the person's context, and supports comfort, coping, connection, and therapeutic engagement while remaining ethically bounded by human judgment, dignity, consent, privacy, authenticity, and professional responsibility. Seven defining attributes were identified: AI-mediated caring interface, affective interpretation, simulated empathic response, relational presence, person-responsive adaptation, therapeutic support purpose, and ethically bounded adjunctive role. Antecedents included care-related support need, AI-enabled relational capacity, person-responsive design, user access and consent, and ethical governance. Consequences included comfort, coping, connection, reduced distress or loneliness, therapeutic engagement, and ethical boundary-setting.ConclusionsAlgorithmic compassion names a supervised, ethically bounded AI-mediated interaction that may support selected compassion-related functions while preserving human nursing presence, professional judgment, and whole-person care without assigning consciousness, moral agency, or authentic compassion to technology.</p>","PeriodicalId":51615,"journal":{"name":"Journal of Holistic Nursing","volume":" ","pages":"8980101261487731"},"PeriodicalIF":1.6000,"publicationDate":"2026-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Holistic Nursing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/08980101261487731","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"NURSING","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose of StudyTo clarify algorithmic compassion as a nursing-relevant concept and examine its implications for holistic nursing.Design of studyWalker and Avant concept analysis with conceptual model development.MethodA structured literature search was conducted across nursing, biomedical, psychological, interdisciplinary, and technology-focused databases. Twenty-nine sources were retained because they directly supported concept use, defining attributes, antecedents, consequences, empirical referents, or case construction.FindingsAlgorithmic compassion was defined as an artificial intelligence (AI)-mediated caring interaction in which an algorithmic system interprets affective and distress cues, generates a simulated empathic response, adapts to the person's context, and supports comfort, coping, connection, and therapeutic engagement while remaining ethically bounded by human judgment, dignity, consent, privacy, authenticity, and professional responsibility. Seven defining attributes were identified: AI-mediated caring interface, affective interpretation, simulated empathic response, relational presence, person-responsive adaptation, therapeutic support purpose, and ethically bounded adjunctive role. Antecedents included care-related support need, AI-enabled relational capacity, person-responsive design, user access and consent, and ethical governance. Consequences included comfort, coping, connection, reduced distress or loneliness, therapeutic engagement, and ethical boundary-setting.ConclusionsAlgorithmic compassion names a supervised, ethically bounded AI-mediated interaction that may support selected compassion-related functions while preserving human nursing presence, professional judgment, and whole-person care without assigning consciousness, moral agency, or authentic compassion to technology.

整体护理中的算法同情:概念分析和概念模型。
研究目的阐明算法同情作为护理相关概念,并研究其对整体护理的影响。设计研究沃克和Avant概念分析与概念模型开发。方法对护理学、生物医学、心理学、跨学科和以技术为重点的数据库进行结构化文献检索。保留了29个来源,因为它们直接支持概念使用、定义属性、先行词、结果、经验参照物或案例构建。算法同情被定义为一种人工智能(AI)介导的关怀互动,在这种互动中,算法系统解释情感和痛苦线索,产生模拟的共情反应,适应人的环境,支持舒适、应对、联系和治疗参与,同时保持人类判断、尊严、同意、隐私、真实性和职业责任的道德界限。确定了七个定义属性:人工智能介导的关怀界面、情感解释、模拟共情反应、关系存在、个人响应性适应、治疗支持目的和道德约束辅助角色。前因包括与护理相关的支持需求、人工智能支持的关系能力、个人响应设计、用户访问和同意以及道德治理。结果包括舒适、应对、联系、减少痛苦或孤独、治疗参与和道德边界设置。算法同情指的是一种受监督的、有道德约束的人工智能介导的互动,它可以支持与同情相关的特定功能,同时保留人类护理的存在、专业判断和全人护理,而不需要将意识、道德代理或真正的同情分配给技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
4.30
自引率
10.00%
发文量
39
期刊介绍: Manuscripts are solicited that deal with the processes of knowledge development and application including research, concept analysis and theory development, practical applications of research and theory, clinical case studies and analysis, practice applications in general, educational approaches and evaluation, and aesthetic expressions of holistic knowledge. While the journal seeks to support work grounded in evidence, the editorial philosophy suggests that there are many diverse sources of “evidence” beyond the realm of what is called “empirical” and that many methods are appropriate for discovering evidence and generating knowledge.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书