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医疗服务基础模块中ChatGPT的应用:一项混合方法研究。

ChatGPT utilization within the building blocks of the healthcare services: A mixed-methods study.

作者信息

Shojaei Payam, Khosravi Mohsen, Jafari Yalda, Mahmoudi Amir Hossein, Hassanipourmahani Hadis

机构信息

Department of Management, Shiraz University, Shiraz, Iran.

Department of Healthcare Management, School of Management and Medical Informatics, Shiraz University of Medical Sciences, Shiraz, Iran.

出版信息

Digit Health. 2024 Nov 18;10:20552076241297059. doi: 10.1177/20552076241297059. eCollection 2024 Jan-Dec.

DOI:10.1177/20552076241297059
PMID:39559384
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11571260/
Abstract

INTRODUCTION

ChatGPT, as an AI tool, has been introduced in healthcare for various purposes. The objective of the study was to investigate the principal benefits of ChatGPT utilization in healthcare services and to identify potential domains for its expansion within the building blocks of the healthcare industry.

METHODS

A comprehensive three-phase study was conducted employing mixed methods. The initial phase comprised a systematic review and thematic analysis of the data. In the subsequent phases, a questionnaire, developed based on the findings from the first phase, was distributed to a sample of eight experts. The objective was to prioritize the benefits and potential expansion domains of ChatGPT in healthcare building blocks, utilizing gray SWARA (Stepwise Weight Assessment Ratio Analysis) and gray MABAC (Multi-Attributive Border Approximation Area Comparison), respectively.

RESULTS

The systematic review yielded 74 studies. A thematic analysis of the data from these studies identified 11 unique themes. In the second phase, employing the gray SWARA method, clinical decision-making (weight: 0.135), medical diagnosis (weight: 0.098), medical procedures (weight: 0.070), and patient-centered care (weight: 0.053) emerged as the most significant benefit of ChatGPT in the healthcare sector. Subsequently, it was determined that ChatGPT demonstrated the highest level of usefulness in the information and infrastructure, information and communication technologies blocks.

CONCLUSION

The study concluded that, despite the significant benefits of ChatGPT in the clinical domains of healthcare, it exhibits a more pronounced potential for growth within the informational domains of the healthcare industry's building blocks, rather than within the domains of intervention and clinical services.

摘要

引言

ChatGPT作为一种人工智能工具,已被引入医疗保健领域用于各种目的。本研究的目的是调查ChatGPT在医疗服务中应用的主要益处,并确定其在医疗行业组成部分内潜在的扩展领域。

方法

采用混合方法进行了一项全面的三阶段研究。第一阶段包括对数据的系统综述和主题分析。在随后的阶段,根据第一阶段的研究结果编制了一份问卷,并分发给八位专家组成的样本。目的是分别利用灰色SWARA(逐步权重评估比率分析)和灰色MABAC(多属性边界近似区域比较),对ChatGPT在医疗保健组成部分中的益处和潜在扩展领域进行优先级排序。

结果

系统综述产生了74项研究。对这些研究的数据进行主题分析,确定了11个独特的主题。在第二阶段,采用灰色SWARA方法,临床决策(权重:0.135)、医学诊断(权重:0.098)、医疗程序(权重:0.070)和以患者为中心的护理(权重:0.053)被确定为ChatGPT在医疗保健领域最显著的益处。随后,确定ChatGPT在信息和基础设施、信息和通信技术板块中表现出最高的有用性水平。

结论

该研究得出结论,尽管ChatGPT在医疗保健的临床领域有显著益处,但它在医疗行业组成部分的信息领域,而非干预和临床服务领域,展现出更显著的增长潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bcbb/11571260/961cf6d44efd/10.1177_20552076241297059-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bcbb/11571260/ee756526a603/10.1177_20552076241297059-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bcbb/11571260/961cf6d44efd/10.1177_20552076241297059-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bcbb/11571260/ee756526a603/10.1177_20552076241297059-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bcbb/11571260/961cf6d44efd/10.1177_20552076241297059-fig2.jpg

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