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.

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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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