{"title":"分析聊天机器人在急诊护理中的优势、劣势、机会和威胁（SWOT）：文献综述。","authors":"Hooman Mohammad Talebi","doi":"10.1177/10784535251341624","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Artificial intelligence (AI) has the potential to enhance health care by optimizing patient management and supporting workforce demands. AI-driven chatbots have potential in emergency and triage nursing, although their adoption is currently limited. <b>Objective:</b> This review explores the role of chatbots in emergency nursing using a Strengths, Weaknesses, Opportunities, and Threats (SWOT) framework. <b>Methods:</b> A narrative review of 16 studies published between 2018 and 2024 was conducted using PubMed, ScienceDirect, and Google Scholar, synthesizing data into the SWOT framework. <b>Results:</b> Use of chatbots was associated with improved decision-making, operational efficiency, and staff development through educational tools. However, chatbots' incapacity for critical thinking raises concerns about the usefulness of their output in complex scenarios. Opportunities include predictive analytics and better care coordination, while threats include ethical challenges, provider resistance, and overreliance on automation. <b>Conclusion:</b> Chatbots can transform emergency nursing by enhancing efficiency and care quality when used as complementary tools with human oversight.</p>","PeriodicalId":54104,"journal":{"name":"Creative Nursing","volume":" ","pages":"10784535251341624"},"PeriodicalIF":0.6000,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analyzing the Strengths, Weaknesses, Opportunities, and Threats (SWOT) of Chatbots in Emergency Nursing: A Narrative Review of Literature.\",\"authors\":\"Hooman Mohammad Talebi\",\"doi\":\"10.1177/10784535251341624\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Artificial intelligence (AI) has the potential to enhance health care by optimizing patient management and supporting workforce demands. AI-driven chatbots have potential in emergency and triage nursing, although their adoption is currently limited. <b>Objective:</b> This review explores the role of chatbots in emergency nursing using a Strengths, Weaknesses, Opportunities, and Threats (SWOT) framework. <b>Methods:</b> A narrative review of 16 studies published between 2018 and 2024 was conducted using PubMed, ScienceDirect, and Google Scholar, synthesizing data into the SWOT framework. <b>Results:</b> Use of chatbots was associated with improved decision-making, operational efficiency, and staff development through educational tools. However, chatbots' incapacity for critical thinking raises concerns about the usefulness of their output in complex scenarios. Opportunities include predictive analytics and better care coordination, while threats include ethical challenges, provider resistance, and overreliance on automation. <b>Conclusion:</b> Chatbots can transform emergency nursing by enhancing efficiency and care quality when used as complementary tools with human oversight.</p>\",\"PeriodicalId\":54104,\"journal\":{\"name\":\"Creative Nursing\",\"volume\":\" \",\"pages\":\"10784535251341624\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2025-05-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Creative Nursing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/10784535251341624\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"NURSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Creative Nursing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/10784535251341624","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"NURSING","Score":null,"Total":0}
Analyzing the Strengths, Weaknesses, Opportunities, and Threats (SWOT) of Chatbots in Emergency Nursing: A Narrative Review of Literature.
Background: Artificial intelligence (AI) has the potential to enhance health care by optimizing patient management and supporting workforce demands. AI-driven chatbots have potential in emergency and triage nursing, although their adoption is currently limited. Objective: This review explores the role of chatbots in emergency nursing using a Strengths, Weaknesses, Opportunities, and Threats (SWOT) framework. Methods: A narrative review of 16 studies published between 2018 and 2024 was conducted using PubMed, ScienceDirect, and Google Scholar, synthesizing data into the SWOT framework. Results: Use of chatbots was associated with improved decision-making, operational efficiency, and staff development through educational tools. However, chatbots' incapacity for critical thinking raises concerns about the usefulness of their output in complex scenarios. Opportunities include predictive analytics and better care coordination, while threats include ethical challenges, provider resistance, and overreliance on automation. Conclusion: Chatbots can transform emergency nursing by enhancing efficiency and care quality when used as complementary tools with human oversight.
期刊介绍：
Creative Nursing is an issue focused journal, unique in its recognition of the values inherent in the nursing profession. Excellence and professionalism are not exclusive to any one discipline or specialty, and the editors of Creative Nursing are dedicated to developing nursing leaders at all levels and in all settings. Today"s health care institutions need creative and innovative solutions. Nurses need to think creatively, to experiment, to take risks, and to innovate. Creative Nursing promotes best practices in all aspects of caring--caring for self, patients, families, colleagues, and communities.
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