{"title":"人工智能虚拟仿真病人（AI-VSP）对卫生专业学生来说是一种有效的教学模式吗？","authors":"Leticia De Mattei MD , Marcelino Q. Morato MD , Vineet Sidhu MBBS, MHS , Nodana Gautam MD , Camila T. Mendonca MD , Albert Tsai MD , Marjorie Hammer MS, RN, FNP-BC, PMHNP , Lynda Creighton-Wong MS, RN, PMHNP-BC, PMHCNS-BC , Amin Azzam MD, MA","doi":"10.1016/j.ecns.2024.101536","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><p>Simulation-based learning is robust, but the COVID pandemic created opportunities for novel modalities, including Artificial Intelligence Virtual Simulated Patient (AI-VSP) scenarios.</p></div><div><h3>Methods</h3><p>Between 2019 and 2022, the following health professional students experienced AI-VSP at one US university: (a) “Headache” scenario: 24 Family Nurse Practitioner (FNP) and 48 Physician Assistants (PA) students, (b) “Insomnia” scenario: 64 Bachelor of Science in Nursing (BSN) and 47 Accelerated Bachelor of Science in Nursing (ABSN) students. Each individually conducted a brief strongly encouraged encounter and subsequently optionally participated in our study.</p></div><div><h3>Results</h3><p>When asked about the scenario's realism, positive answers were 50% (FNP), 16% (PA), 63% (BSN), and 87% (ABSN). Also, 41% FNP, 52% PA, 65% BSN, and 82% ABSN felt capable of creating diagnoses and treatment plans as thoroughly as they would with human patients. Regarding improving diagnostic abilities, favorable responses were 73% (FNP), 74% (PA), 72% (BSN), and 90% (ABSN). When asked whether they would recommend AI-VSP encounters to others, 91% (FNP), 84% (PA), 93% (BSN), and 90% (ABSN) agreed.</p></div><div><h3>Conclusions</h3><p>AI-VSP scenarios were well accepted by students and demonstrated significant promise as a complementary simulation-based learning modality.</p></div>","PeriodicalId":48753,"journal":{"name":"Clinical Simulation in Nursing","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1876139924000288/pdfft?md5=00b70f728125e5b1085fa56eea8fca4e&pid=1-s2.0-S1876139924000288-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Are Artificial Intelligence Virtual Simulated Patients (AI-VSP) a Valid Teaching Modality for Health Professional Students?\",\"authors\":\"Leticia De Mattei MD , Marcelino Q. Morato MD , Vineet Sidhu MBBS, MHS , Nodana Gautam MD , Camila T. Mendonca MD , Albert Tsai MD , Marjorie Hammer MS, RN, FNP-BC, PMHNP , Lynda Creighton-Wong MS, RN, PMHNP-BC, PMHCNS-BC , Amin Azzam MD, MA\",\"doi\":\"10.1016/j.ecns.2024.101536\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Introduction</h3><p>Simulation-based learning is robust, but the COVID pandemic created opportunities for novel modalities, including Artificial Intelligence Virtual Simulated Patient (AI-VSP) scenarios.</p></div><div><h3>Methods</h3><p>Between 2019 and 2022, the following health professional students experienced AI-VSP at one US university: (a) “Headache” scenario: 24 Family Nurse Practitioner (FNP) and 48 Physician Assistants (PA) students, (b) “Insomnia” scenario: 64 Bachelor of Science in Nursing (BSN) and 47 Accelerated Bachelor of Science in Nursing (ABSN) students. Each individually conducted a brief strongly encouraged encounter and subsequently optionally participated in our study.</p></div><div><h3>Results</h3><p>When asked about the scenario's realism, positive answers were 50% (FNP), 16% (PA), 63% (BSN), and 87% (ABSN). Also, 41% FNP, 52% PA, 65% BSN, and 82% ABSN felt capable of creating diagnoses and treatment plans as thoroughly as they would with human patients. Regarding improving diagnostic abilities, favorable responses were 73% (FNP), 74% (PA), 72% (BSN), and 90% (ABSN). When asked whether they would recommend AI-VSP encounters to others, 91% (FNP), 84% (PA), 93% (BSN), and 90% (ABSN) agreed.</p></div><div><h3>Conclusions</h3><p>AI-VSP scenarios were well accepted by students and demonstrated significant promise as a complementary simulation-based learning modality.</p></div>\",\"PeriodicalId\":48753,\"journal\":{\"name\":\"Clinical Simulation in Nursing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2024-06-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S1876139924000288/pdfft?md5=00b70f728125e5b1085fa56eea8fca4e&pid=1-s2.0-S1876139924000288-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Simulation in Nursing\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1876139924000288\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NURSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Simulation in Nursing","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1876139924000288","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NURSING","Score":null,"Total":0}
Are Artificial Intelligence Virtual Simulated Patients (AI-VSP) a Valid Teaching Modality for Health Professional Students?
Introduction
Simulation-based learning is robust, but the COVID pandemic created opportunities for novel modalities, including Artificial Intelligence Virtual Simulated Patient (AI-VSP) scenarios.
Methods
Between 2019 and 2022, the following health professional students experienced AI-VSP at one US university: (a) “Headache” scenario: 24 Family Nurse Practitioner (FNP) and 48 Physician Assistants (PA) students, (b) “Insomnia” scenario: 64 Bachelor of Science in Nursing (BSN) and 47 Accelerated Bachelor of Science in Nursing (ABSN) students. Each individually conducted a brief strongly encouraged encounter and subsequently optionally participated in our study.
Results
When asked about the scenario's realism, positive answers were 50% (FNP), 16% (PA), 63% (BSN), and 87% (ABSN). Also, 41% FNP, 52% PA, 65% BSN, and 82% ABSN felt capable of creating diagnoses and treatment plans as thoroughly as they would with human patients. Regarding improving diagnostic abilities, favorable responses were 73% (FNP), 74% (PA), 72% (BSN), and 90% (ABSN). When asked whether they would recommend AI-VSP encounters to others, 91% (FNP), 84% (PA), 93% (BSN), and 90% (ABSN) agreed.
Conclusions
AI-VSP scenarios were well accepted by students and demonstrated significant promise as a complementary simulation-based learning modality.
期刊介绍：
Clinical Simulation in Nursing is an international, peer reviewed journal published online monthly. Clinical Simulation in Nursing is the official journal of the International Nursing Association for Clinical Simulation & Learning (INACSL) and reflects its mission to advance the science of healthcare simulation.
We will review and accept articles from other health provider disciplines, if they are determined to be of interest to our readership. The journal accepts manuscripts meeting one or more of the following criteria:
Research articles and literature reviews (e.g. systematic, scoping, umbrella, integrative, etc.) about simulation
Innovative teaching/learning strategies using simulation
Articles updating guidelines, regulations, and legislative policies that impact simulation
Leadership for simulation
Simulation operations
Clinical and academic uses of simulation.
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