IBM Canada, Ottawa, ON, Canada.
Quality of Care NL, Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada.
Methods Mol Biol. 2021;2249:631-644. doi: 10.1007/978-1-0716-1138-8_34.
The behavior of individuals can affect both their own health and the health of those around them. Furthermore, the behavior of healthcare providers obviously affects the health of those receiving the care. In both of these cases, and in spite of its known benefits, behavior change is difficult for most people. To make change easier, big data can provide insight through an objective and nonjudgmental perspective. It may also help make specific, individualized, evidence-based recommendations for effective change. We provide a historical perspective on data and health and then describe the value of adding big data systems and how they are implemented. We discuss some of the sources of big data and how it is collected. We also review the additional challenges for analysis, interpretation, and application of big data that require specific technologies. We end with a summary of current uses of big data for behavior change and suggestions for additional approaches, which may be of benefit.
个人的行为既会影响自身健康，也会影响周围人的健康。此外，医疗保健提供者的行为显然会影响接受护理的人的健康。在这两种情况下，尽管行为改变的好处众所周知，但对大多数人来说，行为改变都很困难。为了使改变更容易，大数据可以通过客观和非评判的视角提供深入的了解。它还可能有助于针对有效的改变提供具体、个性化、基于证据的建议。我们提供了数据和健康的历史视角，然后描述了添加大数据系统的价值以及如何实现这些系统。我们讨论了大数据的一些来源以及如何收集这些数据。我们还回顾了分析、解释和应用大数据的额外挑战，这些挑战需要特定的技术。最后，我们总结了目前利用大数据进行行为改变的情况，并提出了可能有益的其他方法建议。
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