医疗专业人员对医疗人工智能的期望及其临床实施策略:一项定性研究。

IF 2.3 Q3 MEDICAL INFORMATICS
Junsang Yoo, Sujeong Hur, Wonil Hwang, Won Chul Cha
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引用次数: 2

摘要

目的:尽管医疗人工智能(AI)系统在重症监护环境中帮助医疗保健专业人员改善医疗保健,但人们对其潜力是否得到充分实现持怀疑态度。因此,我们的目标是与医生和护士进行定性研究,以了解他们对医疗人工智能的需求、期望和担忧;探索他们对与自己判断相矛盾的医疗人工智能建议的预期反应;并得出在实践中成功实施医疗人工智能的策略。方法:对首尔某三级教学医院急诊室和重症监护病房的15名医护人员进行半结构化访谈。采用总结性内容分析对数据进行解释。从访谈中共提取了26个医学人工智能话题。8项与治疗建议有关,7项与诊断预测有关,7项与过程改进有关。结果:虽然参与者表达了对医疗人工智能可以改善患者预后、提高工作效率和降低医院运营成本的期望,但他们也提到了对工作流程扭曲、技能丧失、警觉疲劳和不成熟算法的担忧。如果医疗人工智能的决定与他们的判断相矛盾,大多数参与者会咨询其他医务人员,然后重新考虑他们最初的判断。结论:医疗专业人员希望在实践中使用医疗人工智能,并强调从医疗专业人员的角度来看,人工智能系统应该是值得信赖的。他们还强调了警戒疲劳管理和将人工智能系统集成到工作流程中的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Healthcare Professionals' Expectations of Medical Artificial Intelligence and Strategies for its Clinical Implementation: A Qualitative Study.

Healthcare Professionals' Expectations of Medical Artificial Intelligence and Strategies for its Clinical Implementation: A Qualitative Study.

Healthcare Professionals' Expectations of Medical Artificial Intelligence and Strategies for its Clinical Implementation: A Qualitative Study.

Healthcare Professionals' Expectations of Medical Artificial Intelligence and Strategies for its Clinical Implementation: A Qualitative Study.

Objectives: Although medical artificial intelligence (AI) systems that assist healthcare professionals in critical care settings are expected to improve healthcare, skepticism exists regarding whether their potential has been fully actualized. Therefore, we aimed to conduct a qualitative study with physicians and nurses to understand their needs, expectations, and concerns regarding medical AI; explore their expected responses to recommendations by medical AI that contradicted their judgments; and derive strategies to implement medical AI in practice successfully.

Methods: Semi-structured interviews were conducted with 15 healthcare professionals working in the emergency room and intensive care unit in a tertiary teaching hospital in Seoul. The data were interpreted using summative content analysis. In total, 26 medical AI topics were extracted from the interviews. Eight were related to treatment recommendation, seven were related to diagnosis prediction, and seven were related to process improvement.

Results: While the participants expressed expectations that medical AI could enhance their patients' outcomes, increase work efficiency, and reduce hospital operating costs, they also mentioned concerns regarding distortions in the workflow, deskilling, alert fatigue, and unsophisticated algorithms. If medical AI decisions contradicted their judgment, most participants would consult other medical staff and thereafter reconsider their initial judgment.

Conclusions: Healthcare professionals wanted to use medical AI in practice and emphasized that artificial intelligence systems should be trustworthy from the standpoint of healthcare professionals. They also highlighted the importance of alert fatigue management and the integration of AI systems into the workflow.

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来源期刊
Healthcare Informatics Research
Healthcare Informatics Research MEDICAL INFORMATICS-
CiteScore
4.90
自引率
6.90%
发文量
44
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