用人工智能和区块链改变医疗保健:安全、透明和节能的方法

IF 3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Expert Systems Pub Date : 2025-07-12 DOI:10.1111/exsy.70101
Sagnik Datta, Suyel Namasudra, Nageswara Rao Moparthi, Suchi Kumari, Ruben Gonzalez Crespo
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引用次数: 0

摘要

随着区块链技术和人工智能(AI)的融合,医疗保健行业正在经历一场变革。传统医疗保健系统面临数据安全、缺乏透明度和资源分配效率低下等问题,导致风险和运营挑战增加。人工智能驱动的模型通过预测诊断、欺诈检测和个性化治疗方案提供智能解决方案,而区块链则确保数据完整性、安全性和分散的访问控制。人工智能和区块链之间的协同作用增强了决策,优化了资源利用,并通过更高透明度和安全性的自动化流程培养了对医疗保健系统的信任。基于人工智能的分析可以从庞大的医疗数据集中提取有意义的见解,从而改善患者的治疗效果并简化供应链。与此同时,区块链的不可变分类帐保护医疗数据,防止违规并确保合规。本文全面回顾了医疗保健领域的区块链解决方案,探讨了它们对增强安全性、提高透明度和提高能源效率的影响。此外,本文还介绍了人工智能和区块链在医疗保健中的集成。它对现有的基于区块链的框架进行了分类,并强调了新兴趋势、挑战和未来的研究方向。本综述旨在为研究人员和从业人员开发安全、透明和智能的医疗保健系统提供基础参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transforming Healthcare With Artificial Intelligence and Blockchain: A Secure, Transparent and Energy-Efficient Approach

The healthcare industry is undergoing a transformative shift with the integration of blockchain technology and Artificial Intelligence (AI). Traditional healthcare systems struggle with data security, lack of transparency, and inefficiencies in resource allocation, leading to increased risks and operational challenges. AI-driven models provide intelligent solutions by enabling predictive diagnostics, fraud detection, and personalised treatment plans, while blockchain ensures data integrity, security, and decentralised access control. The synergy between AI and blockchain enhances decision-making, optimises resource utilisation and fosters trust in healthcare systems by automating processes with greater transparency and security. AI-powered analytics can extract meaningful insights from vast healthcare datasets, improving patient outcomes and streamlining supply chains. Meanwhile, blockchain's immutable ledger safeguards medical data, preventing breaches and ensuring regulatory compliance. This paper presents a comprehensive review of blockchain solutions in healthcare, exploring their impact on enhancing security, promoting transparency and improving energy efficiency. Additionally, this paper also presents insights on the integration of AI and blockchain in healthcare. It categorises existing blockchain-based frameworks and highlights emerging trends, challenges, and future research directions. This review aims to serve as a foundational reference for researchers and practitioners developing secure, transparent, and intelligent healthcare systems.

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来源期刊
Expert Systems
Expert Systems 工程技术-计算机:理论方法
CiteScore
7.40
自引率
6.10%
发文量
266
审稿时长
24 months
期刊介绍: Expert Systems: The Journal of Knowledge Engineering publishes papers dealing with all aspects of knowledge engineering, including individual methods and techniques in knowledge acquisition and representation, and their application in the construction of systems – including expert systems – based thereon. Detailed scientific evaluation is an essential part of any paper. As well as traditional application areas, such as Software and Requirements Engineering, Human-Computer Interaction, and Artificial Intelligence, we are aiming at the new and growing markets for these technologies, such as Business, Economy, Market Research, and Medical and Health Care. The shift towards this new focus will be marked by a series of special issues covering hot and emergent topics.
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