数据驱动的癌症研究和护理的新时代:机遇和挑战
Felicia Gomez1, Arpad M Danos1, Guilherme Del Fiol2
1Department of Medicine, Washington University School of Medicine, St Louis, Missouri.
Cancer discovery
|October 4, 2024
概括
癌症患者和护理人员面临着来自新诊断,预后和治疗信息的压倒性数据. 将这些复杂的癌症数据整合到护理中,为社会带来了机遇和重大挑战.
科学领域:
- 在瘤学瘤学.
- 医疗信息学 医疗信息学
- 生物信息学是一种生物信息学.
背景情况:
- 癌症患者及其护理人员被复杂的诊断,预后和治疗数据淹没.
- 数据生成的快速进步已经超过了将其整合到常规癌症护理中.
研究的目的:
- 讨论将大量数据整合到癌症治疗中所带来的机遇.
- 确定与将大量数据纳入常规癌症管理中的挑战.
主要方法:
- 这是一个评论,而不是一项研究.
- 讨论有关瘤学数据集成的现有文献和专家意见.
主要成果:
- 大数据在癌症护理中的整合为个性化医疗和改善结果提供了重大机会.
- 挑战包括数据管理,解释,伦理考虑和确保公平获取信息.
结论:
- 需要战略方法来利用大数据在瘤学中的潜力.
- 解决这些挑战对于数据驱动的癌症护理的有效和道德实施至关重要.
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