创建数据市场:数字健康初创公司的资产化,估值和代理工作
Joseph Donia1, Jennifer Gibson1,2, James A Shaw2,3
1Institute of Health Policy, Management & Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
Social studies of science
|July 10, 2025
概括
数字健康数据越来越有价值,但其价值是由复杂的估值实践塑造的. 资产化和代理工作是实现智能健康技术数据价值的关键.
科学领域:
- 医疗信息学 医疗信息学
- 技术社会学技术的社会学.
- 数字健康数字健康
背景情况:
- 数字数据是现代健康和医学的核心.
- 不同的参与者将数据转化为各种形式的价值.
- 人工智能 (AI) 支持的技术产生了重要的健康数据.
研究的目的:
- 检查人工智能智能健康技术中的估值实践.
- 了解数据如何转化为资产形式.
- 探索资产化和代理工作在数字健康中的作用.
主要方法:
- 评估实践的定性分析. 评估实践的定性分析.
- 检查资产化过程.
- 在数字健康数据中代理工作的概念开发.
主要成果:
- 估值实践是多样化和偶然的,塑造人工智能健康技术及其数据.
- 资产化是数据价值实现的一个有争议但至关重要的活动.
- 代理工作介于数据生成和资产化之间,使跨站点的价值成为可能.
结论:
- 资产化是理解数字健康数据价值的主导框架.
- 这一框架影响了政府,公司和参与者对健康未来的看法.
- 资产化实践塑造了数字健康数据的潜力.
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