大数据分析在医疗保健中的挑战和机遇
Priyanshi Goyal1, Rishabha Malviya1
1Department of Pharmacy, School of Medical and Allied Sciences Galgotias University Greater Noida UP India.
Health care science
|June 28, 2024
概括
数据科学和大数据分析从医疗保健数据中提供了有价值的见解. 适当管理和分析这些数据对于可靠的发现和医疗行业的战略决策至关重要.
科学领域:
- 数据科学数据科学数据科学
- 医疗保健分析 医疗保健分析
- 医疗信息学 医疗信息学
背景情况:
- 医疗保健行业产生大量结构化和非结构化数据,包括患者人口统计数据,治疗结果和保险信息.
- 物联网 (IoT) 设备越来越多地为医疗保健中的数据环境做出了贡献.
- 有效处理,管理,分析和整合这些不同的数据对于提取有意义的见解至关重要.
研究的目的:
- 为医疗保健应用程序中的过程数据分析提供全面的研究和讨论.
- 探索在医疗领域使用大数据分析 (BDA) 的优缺点.
- 突出BDA如何帮助制定战略决策以改善医疗保健系统.
主要方法:
- 对数据科学和医疗保健中的大数据分析现有文献的审查和综合.
- 讨论处理,管理和分析大型医疗保健数据集的方法.
- 检查病例研究和数据科学技术在医疗环境中的应用.
主要成果:
- 数据科学利用大数据,机器学习和数据挖掘,从复杂的医疗数据中提取关键信息.
- BDA为改善医疗保健运营,患者护理和战略规划提供了巨大的潜力.
- 在管理和分析大量和多样化的医疗保健数据方面存在挑战.
结论:
- 数据科学和BDA对于释放医疗保健数据的潜力至关重要.
- 有效的数据分析是获得可靠研究结果和支持医疗保健中明智决策的关键.
- 数据科学方法的整合可以提高医疗保健系统的效率和有效性.
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