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当前位置：国际计算机科学进展 > 2023年 3卷 (5)期

Open Access Article

Advances in International Computer Science. 2023; 3: (5) ; 35-49 ; DOI: 10.12208/j.aics.20230049.

Opportunities and challenges of big data analytics in healthcare
大数据分析在健康医疗中的机遇与挑战

作者： 王诗诗 *

重庆大学重庆

*通讯作者：王诗诗,单位：重庆大学重庆；

发布时间: 2023-12-22 总浏览量: 1112

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摘要

随着信息技术的飞速发展，大数据分析在健康医疗领域展现出巨大潜力，同时也面临不少挑战。本研究综述了大数据在提升医疗服务效率、促进医学研究与发展、支持公共卫生决策以及优化医疗成本方面的机遇。通过实时监控患者健康状态、个性化医疗方案的制定、加速临床试验进程以及疫情监控与预防等途径，大数据技术正逐步改变传统健康医疗模式，推动行业进步。然而，数据安全与隐私保护、数据质量与标准化、技术与基础设施要求以及法律与伦理问题等挑战亟需解决。针对这些挑战，本文提出加强数据保护措施、提升数据处理能力、完善技术培训和基础设施建设、积极应对法律与伦理问题等应对策略。展望未来，跨学科、跨行业的合作对于大数据在医疗健康领域的可持续发展至关重要。

关键词： 大数据；数据分析；健康医疗

Abstract

With the rapid development of information technology, big data analytics shows great potential in healthcare and also faces many challenges. This study reviews the opportunities of big data in enhancing the efficiency of healthcare services, promoting medical research and development, supporting public health decision-making, and optimising healthcare costs. Big data technologies are gradually changing the traditional healthcare model and advancing the industry through real-time monitoring of patients' health status, development of personalised healthcare plans, acceleration of clinical trials, and outbreak monitoring and prevention. However, challenges such as data security and privacy protection, data quality and standardisation, technical and infrastructure requirements, and legal and ethical issues need to be addressed. In response to these challenges, this paper proposes coping strategies such as strengthening data protection measures, upgrading data processing capabilities, improving technical training and infrastructure development, and actively addressing legal and ethical issues. Looking ahead, interdisciplinary and cross-industry collaboration is crucial for the sustainable development of big data in healthcare.

Key words： Big data; Data analysis; Healthcare

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引用本文

王诗诗, 大数据分析在健康医疗中的机遇与挑战[J]. 国际计算机科学进展, 2023; 3: (5) : 35-49.

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