医疗保健中的大数据分析:最新进展和个性化医疗潜力综述

Amaka Obijuru, Jeremiah Olawumi Arowoogun, Chinyere Onwumere, Ifeoma Pamela Odilibe, Evangel Chinyere Anyanwu, Andrew Ifesinachi Daraojimba
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引用次数: 1

摘要

这篇综合评论探讨了大数据分析对医疗保健的深远影响,重点关注其彻底改变个性化医疗的潜力。在基因组测序、人工智能和可穿戴设备等技术创新的推动下,大数据分析为精准诊断、定制化治疗和预测性医疗提供了变革性机遇。尽管前景广阔,但挑战依然存在,包括数据隐私问题、伦理考虑和技术复杂性。要克服这些障碍,就必须采取强有力的网络安全措施、减少偏见的策略、提高数据质量,并对基础设施和劳动力发展进行投资。此外,随着法规和道德准则的更新,医疗保健政策和实践必须适应不断发展的数字环境。要充分利用大数据分析的优势,改善患者护理和提高医疗保健系统的效率,跨学科合作以及持续研究和创新至关重要。关键词 大数据分析、个性化医疗、医疗保健创新、数据隐私、伦理考虑、精准诊断
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BIG DATA ANALYTICS IN HEALTHCARE: A REVIEW OF RECENT ADVANCES AND POTENTIAL FOR PERSONALIZED MEDICINE
This comprehensive review explores the profound impact of big data analytics on healthcare, focusing on its potential to revolutionize personalized medicine. Big data analytics, driven by technological innovations such as genomic sequencing, artificial intelligence, and wearable devices, offers transformative opportunities for precision diagnostics, treatment customization, and predictive healthcare. Despite the promises, challenges persist, including data privacy concerns, ethical considerations, and technical complexities. Overcoming these hurdles necessitates robust cybersecurity measures, bias mitigation strategies, enhanced data quality, and infrastructure and workforce development investments. Moreover, with updated regulations and ethical guidelines, healthcare policy and practice must adapt to accommodate the evolving digital landscape. Collaboration across disciplines and ongoing research and innovation are essential to fully harness the benefits of big data analytics, leading to improved patient care and healthcare system efficiency. Keywords:  Big Data Analytics, Personalized Medicine, Healthcare Innovation, Data Privacy, Ethical Considerations, Precision Diagno. stics
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