Kuziemsky C E, Monkman H, Petersen C, Weber J, Borycki E M, Adams S, Collins S
Craig Kuziemsky, Telfer School of Management, University of Ottawa, Ottawa, ON, Canada, Tel: +1-613 562 5800 ext 4792, E-mail:
Yearb Med Inform. 2014 Aug 15;9(1):82-9. doi: 10.15265/IY-2014-0014.
While big data offers enormous potential for improving healthcare delivery, many of the existing claims concerning big data in healthcare are based on anecdotal reports and theoretical vision papers, rather than scientific evidence based on empirical research. Historically, the implementation of health information technology has resulted in unintended consequences at the individual, organizational and social levels, but these unintended consequences of collecting data have remained unaddressed in the literature on big data. The objective of this paper is to provide insights into big data from the perspective of people, social and organizational considerations.
We draw upon the concept of persona to define the digital persona as the intersection of data, tasks and context for different user groups. We then describe how the digital persona can serve as a framework to understanding sociotechnical considerations of big data implementation. We then discuss the digital persona in the context of micro, meso and macro user groups across the 3 Vs of big data.
We provide insights into the potential benefits and challenges of applying big data approaches to healthcare as well as how to position these approaches to achieve health system objectives such as patient safety or patient-engaged care delivery. We also provide a framework for defining the digital persona at a micro, meso and macro level to help understand the user contexts of big data solutions.
While big data provides great potential for improving healthcare delivery, it is essential that we consider the individual, social and organizational contexts of data use when implementing big data solutions.
虽然大数据为改善医疗服务提供了巨大潜力，但目前许多关于医疗大数据的说法是基于轶事报告和理论展望论文，而非基于实证研究的科学证据。从历史上看，健康信息技术的实施在个人、组织和社会层面都产生了意想不到的后果，但收集数据的这些意外后果在大数据文献中仍未得到解决。本文的目的是从人、社会和组织的角度提供对大数据的见解。
我们借鉴人物角色的概念，将数字人物角色定义为不同用户群体的数据、任务和背景的交集。然后，我们描述数字人物角色如何作为一个框架来理解大数据实施的社会技术因素。接着，我们在大数据的三个 “V” 的背景下，讨论微观、中观和宏观用户群体中的数字人物角色。
我们深入探讨了将大数据方法应用于医疗保健的潜在益处和挑战，以及如何定位这些方法以实现诸如患者安全或患者参与式护理等卫生系统目标。我们还提供了一个在微观、中观和宏观层面定义数字人物角色的框架，以帮助理解大数据解决方案的用户背景。
虽然大数据为改善医疗服务提供了巨大潜力，但在实施大数据解决方案时，考虑数据使用的个人、社会和组织背景至关重要。
