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GSK's Agile Approach to Clinical Data Management
技术
- 分析与建模 - 机器学习
- 平台即服务 (PaaS) - 应用开发平台
适用行业
- 设备与机械
- 运输
适用功能
- 物流运输
- 产品研发
用例
- 库存管理
- 最后一英里交付
服务
- 数据科学服务
挑战
GSK 是一家全球医疗保健公司，由于使用多个电子数据采集 (EDC) 系统和复杂的流程，在管理其临床数据方面面临挑战。该公司在其临床数据生态系统中使用了至少四种不同类型的 EDC，每种 EDC 的定制程度都类似于拼图游戏。这种复杂性减缓了数据审查和管理的过程。此外，该公司在采用混合数字试验模型时，还面临着数字数据源激增的问题。对有效数据管理的需求已成为试验成功的关键驱动力。葛兰素史克还旨在加速提供挽救生命的治疗，但现有复杂的数据管理系统阻碍了这一目标的实现。
关于客户
GSK 是一家全球医疗保健公司，其使命是帮助人们做得更多、感觉更好、寿命更长。该公司生产各种处方药、疫苗和消费者保健产品。葛兰素史克致力于扩大其产品的使用范围，改善疾病的管理方式，并开发新的治疗方法，以帮助定义医疗保健的未来。该公司不断探索新方法，以加快提供救生治疗并提高运营效率。葛兰素史克的现代化项目证明了其利用技术增强运营并最终造福患者的承诺。
解决方案
为了应对这些挑战，GSK 决定实施 Veeva CDB，这是一个可以加速数据清理和标准化的临床数据库。这使得 GSK 的数据能够得到更有效的管理、报告和分析。该公司还采用 Veeva Vault CDMS 作为其单一核心临床数据管理 (CDM) 平台，避免了定制并根据其固有功能选择平台。这一向单一平台的转变旨在改进数据审查并降低复杂性。新系统汇总并协调来自各个来源的临床数据，以集中清理和核对。此外，葛兰素史克还利用人工智能和机器学习等技术推动因素来支持数据清理和探索，揭示试验见解。该公司还采用了敏捷开发流程，仅用了 18 个月就完成了该项目。
运营影响
数量效益
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