数据作为医学的支柱:重新定义其价值,以促进数据经济的创新
1SAP SE, Walldorf, Germany michael.byczkowski@sap.com.
BMJ health & care informatics
|September 11, 2025
概括
医疗数据收集对医院和研究人员来说是劳动密集型的,但生命科学公司的利最多. 这种不平等的经济分配引发了关于医疗保健数据共享的公平性和可持续性的关键问题.
科学领域:
- 卫生经济学 卫生经济学
- 医疗信息学 医疗信息学
- 生物技术是生物技术.
背景情况:
- 现代医学越来越依赖数据,因此需要仔细研究其经济影响.
- 当前在医疗保健中数据利用的模型显示,经济效益的差异很大.
- 医院和研究机构在数据收集和管理方面投入了大量资金.
研究的目的:
- 分析医疗数据利用中的经济权衡.
- 调查数据收集者和数据用户之间的财务奖励不平衡.
- 探索医学当前数据经济产生的伦理和可持续性问题.
主要方法:
- 对医疗数据共享现有经济模式的定性分析.
- 关于医疗保健中的知识产权和数据权的文献审查.
- 研究机构与生命科学公司之间的数据伙伴关系的案例研究分析.
主要成果:
- 在产生医疗数据的实体和货币化数据的实体之间存在很大的经济差距.
- 生命科学公司不成比例地从医疗保健提供者和研究人员收集的数据中受益.
- 目前的系统引发了关于公平补偿和公平数据治理的担忧.
结论:
- 医疗数据的经济模式需要重新评估,以确保数据生成者的公平性.
- 解决这种不平衡对于数据驱动的医疗创新的可持续增长至关重要.
- 建立数据权利和利益共享的明确框架对于伦理医疗数据实践至关重要.
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