协调大型数字健康项目的十个简单规则:来自欧盟的观点和对全球背景的影响
Lucia Sacchi1, Blaž Zupan2,3, Silvana Quaglini1
1Department of Electrical, Computer, and Biomedical Engineering, University of Pavia, Pavia, Italy.
领导大型数字健康项目需要仔细规划. 本指南为协调国际生物医学研究提供了十条实用规则,重点是用于癌症患者护理的AI和远程医疗.
科学领域:
- 数字健康数字健康
- 生物医学研究生物医学研究
- 人工智能 (AI) 是一种人工智能.
- 远程医疗远程医疗
背景情况:
- 协调大规模的数字健康项目涉及复杂的科学,行政和人际关系挑战.
- 由于合作伙伴和工作实践的多样性,医疗保健和IT领域的国际合作存在独特的障碍.
研究的目的:
- 为成功协调多个合作伙伴的生物医学研究项目提供实际指导.
- 为了分享领导CAPABLE欧洲2020年计划项目的经验教训.
主要方法:
- 借鉴欧洲2020年视野项目 (CAPABLE) 的经验,专注于癌症患者的AI和远程医疗.
- 制定十项实用规则,以应对大规模数字健康倡议中的挑战.
主要成果:
- 确定多合作伙伴生物医学研究的关键挑战,包括建立联盟,时间表管理,监管合规和文化调整.
- 通过有效传播和利用研究成果来确保长期影响的战略.
结论:
- 国际数字健康项目的成功协调取决于科学领导力,行政效率和人际敏感性的混合.
- 提出的规则旨在提高未来大规模数字健康倡议的成功概率.
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