【24h】

Identifying Essential Factors for Deriving Value from Big Data Analytics in Healthcare

机译:确定从医疗保健大数据分析中获取价值的基本因素

获取原文

摘要

Big data analytics is emerging in many industries and is a prominent undertaking in healthcare. The healthcare industry has more opportunities now to garner insights and advantages from data than ever before. Big data analytics has the potential to enhance many aspects of the industry from enhancing quality of patient care to revenue cycle improvements. However, successfully leveraging big data analytics poses challenges as well, such as data standardization and integrity. Therefore, it will be important to identify the essential factors that will facilitate the ability to derive the maximum value from big data analytics for such endeavors. This research proposes to identify these pivotal factors of big data analytics in healthcare by utilizing value-focused thinking (VFT). VFT will entail interviews with both healthcare data analysts and management to identify these important factors. The findings can provide guidance to practitioners when considering the essential factors for big data analytics success, as well as provide topics for future research.
机译:大数据分析在许多行业中正在兴起,并且是医疗保健领域的重要工作。现在,医疗保健行业比以往任何时候都拥有更多的机会来从数据中获取见解和优势。大数据分析具有增强行业许多方面的潜力,从提高患者护理质量到收益周期改善。但是,成功利用大数据分析也带来了挑战,例如数据标准化和完整性。因此,重要的是确定有助于实现从大数据分析中获得最大价值的能力的基本因素。这项研究建议通过利用以价值为中心的思维(VFT)来识别医疗保健中大数据分析的这些关键因素。 VFT将需要与医疗保健数据分析师和管理层进行访谈,以确定这些重要因素。研究结果可为从业人员在考虑大数据分析成功的关键因素时提供指导,并为将来的研究提供主题。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号