Artificial intelligence tools in supporting healthcare professionals for tailored patient care

IF 12.4 1区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Jiyeong Kim, Michael L. Chen, Shawheen J. Rezaei, Tina Hernandez-Boussard, Jonathan H. Chen, Fatima Rodriguez, Summer S. Han, Rayhan A. Lal, Sun H. Kim, Chrysoula Dosiou, Susan M. Seav, Tugce Akcan, Carolyn I. Rodriguez, Steven M. Asch, Eleni Linos
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Abstract

Artificial intelligence (AI) tools to support clinicians in providing patient-centered care can contribute to patient empowerment and care efficiency. We aimed to draft potential AI tools for tailored patient support corresponding to patients’ needs and assess clinicians’ perceptions about the usefulness of those AI tools. To define patients’ issues, we analyzed 528,199 patient messages of 11,123 patients with diabetes by harnessing natural language processing and AI. Applying multiple prompt-engineering techniques, we drafted a series of AI tools, and five endocrinologists evaluated them for perceived usefulness and risk. Patient education and administrative support for timely and streamlined interaction were perceived as highly useful, yet deeper integration of AI tools into patient data was perceived as risky. This study proposes assorted AI applications as clinical assistance tailored to patients’ needs substantiated by clinicians’ evaluations. Findings could offer essential ramifications for developing potential AI tools for precision patient care for diabetes and beyond.

Abstract Image

人工智能工具支持医疗保健专业人员进行量身定制的患者护理
用于支持临床医生提供以患者为中心的护理的人工智能(AI)工具有助于患者赋权和护理效率。我们的目标是起草潜在的人工智能工具,根据患者的需求为患者量身定制支持,并评估临床医生对这些人工智能工具有用性的看法。为了定义患者的问题,我们利用自然语言处理和人工智能分析了11,123名糖尿病患者的528,199条患者信息。我们运用多种即时工程技术,起草了一系列人工智能工具,五位内分泌学家对它们的感知有用性和风险进行了评估。患者教育和及时简化互动的行政支持被认为非常有用,但将人工智能工具更深入地整合到患者数据中被认为是有风险的。本研究提出了各种人工智能应用作为临床辅助,根据临床医生的评估,为患者量身定制需求。研究结果可能为开发潜在的人工智能工具提供重要影响,用于糖尿病及其他领域的精准患者护理。
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来源期刊
CiteScore
25.10
自引率
3.30%
发文量
170
审稿时长
15 weeks
期刊介绍: npj Digital Medicine is an online open-access journal that focuses on publishing peer-reviewed research in the field of digital medicine. The journal covers various aspects of digital medicine, including the application and implementation of digital and mobile technologies in clinical settings, virtual healthcare, and the use of artificial intelligence and informatics. The primary goal of the journal is to support innovation and the advancement of healthcare through the integration of new digital and mobile technologies. When determining if a manuscript is suitable for publication, the journal considers four important criteria: novelty, clinical relevance, scientific rigor, and digital innovation.
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