Organizational preparedness for the use of large language models in pathology informatics

Q2 Medicine

Journal of Pathology Informatics Pub Date : 2023-01-01 DOI:10.1016/j.jpi.2023.100338

Steven N. Hart , Noah G. Hoffman , Peter Gershkovich , Chancey Christenson , David S. McClintock , Lauren J. Miller , Ronald Jackups , Vahid Azimi , Nicholas Spies , Victor Brodsky

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引用次数: 0

Abstract

In this paper, we consider the current and potential role of the latest generation of Large Language Models (LLMs) in medical informatics, particularly within the realms of clinical and anatomic pathology. We aim to provide a thorough understanding of the considerations that arise when employing LLMs in healthcare settings, such as determining appropriate use cases and evaluating the advantages and limitations of these models.

Furthermore, this paper will consider the infrastructural and organizational requirements necessary for the successful implementation and utilization of LLMs in healthcare environments. We will discuss the importance of addressing education, security, bias, and privacy concerns associated with LLMs in clinical informatics, as well as the need for a robust framework to overcome regulatory, compliance, and legal challenges.

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在病理学信息学中使用大型语言模型的组织准备。

在本文中，我们考虑了最新一代大型语言模型（LLM）在医学信息学中的当前和潜在作用，特别是在临床和解剖病理学领域。我们的目标是全面了解在医疗环境中使用LLM时出现的考虑因素，例如确定适当的用例并评估这些模型的优势和局限性。此外，本文将考虑在医疗保健环境中成功实施和利用LLM所需的基础设施和组织要求。我们将讨论解决临床信息学中LLM相关的教育、安全、偏见和隐私问题的重要性，以及克服监管、合规和法律挑战的强大框架的必要性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Pathology Informatics Medicine-Pathology and Forensic Medicine

CiteScore

3.70

自引率

0.00%

发文量

审稿时长

18 weeks

期刊介绍： The Journal of Pathology Informatics (JPI) is an open access peer-reviewed journal dedicated to the advancement of pathology informatics. This is the official journal of the Association for Pathology Informatics (API). The journal aims to publish broadly about pathology informatics and freely disseminate all articles worldwide. This journal is of interest to pathologists, informaticians, academics, researchers, health IT specialists, information officers, IT staff, vendors, and anyone with an interest in informatics. We encourage submissions from anyone with an interest in the field of pathology informatics. We publish all types of papers related to pathology informatics including original research articles, technical notes, reviews, viewpoints, commentaries, editorials, symposia, meeting abstracts, book reviews, and correspondence to the editors. All submissions are subject to rigorous peer review by the well-regarded editorial board and by expert referees in appropriate specialties.