利用大型语言模型实现高效医疗保健:优化临床工作流程,加强病人护理。

IF 4.7 2区 医学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Satvik Tripathi, Rithvik Sukumaran, Tessa S Cook
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引用次数: 0

摘要

目的:本文探讨了大型语言模型(LLMs)在医疗保健行政任务自动化方面的潜力,以减轻电子病历给临床医生带来的负担:LLM 在临床文档、预先授权、患者教育和获得护理方面提供了机会。它们可以个性化病人的日程安排,提高文档的准确性,简化保险事先授权,提高病人参与度,并解决获得医疗服务的障碍:然而,整合 LLMs 需要谨慎关注安全和隐私问题,保护患者数据,遵守《健康保险可携性和责任法案》(HIPAA)等法规。关键是要认识到,远程医疗应补充而不是取代医疗专业人员提供的人际联系和护理:通过审慎地利用法律知识与人类专业知识,医疗机构可以改善患者护理和治疗效果。在实施过程中应谨慎从事,考虑周全,以确保在临床环境中安全有效地使用 LLM。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient healthcare with large language models: optimizing clinical workflow and enhancing patient care.

Purpose: This article explores the potential of large language models (LLMs) to automate administrative tasks in healthcare, alleviating the burden on clinicians caused by electronic medical records.

Potential: LLMs offer opportunities in clinical documentation, prior authorization, patient education, and access to care. They can personalize patient scheduling, improve documentation accuracy, streamline insurance prior authorization, increase patient engagement, and address barriers to healthcare access.

Caution: However, integrating LLMs requires careful attention to security and privacy concerns, protecting patient data, and complying with regulations like the Health Insurance Portability and Accountability Act (HIPAA). It is crucial to acknowledge that LLMs should supplement, not replace, the human connection and care provided by healthcare professionals.

Conclusion: By prudently utilizing LLMs alongside human expertise, healthcare organizations can improve patient care and outcomes. Implementation should be approached with caution and consideration to ensure the safe and effective use of LLMs in the clinical setting.

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来源期刊
Journal of the American Medical Informatics Association
Journal of the American Medical Informatics Association 医学-计算机:跨学科应用
CiteScore
14.50
自引率
7.80%
发文量
230
审稿时长
3-8 weeks
期刊介绍: JAMIA is AMIA''s premier peer-reviewed journal for biomedical and health informatics. Covering the full spectrum of activities in the field, JAMIA includes informatics articles in the areas of clinical care, clinical research, translational science, implementation science, imaging, education, consumer health, public health, and policy. JAMIA''s articles describe innovative informatics research and systems that help to advance biomedical science and to promote health. Case reports, perspectives and reviews also help readers stay connected with the most important informatics developments in implementation, policy and education.
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