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Sports Injuries and Prevention Analytics: Conceptual Framework Research Opportunities

机译：运动损伤和预防分析：概念框架和研究机会

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Sport-related injuries impose a substantial economic burden, and they often have persisting adverse effects on health-related quality of life. Abundant research evidence points to a history of previous injury as the strongest predictor of injury occurrence over the course of a sport season. Although a predisposition may have existed prior to the first injury occurrence, incomplete restoration of all pre-injury functional capabilities is undoubtedly a major factor that elevates risk for a subsequent injury. Hence, detection and prevention of sports injuries becomes an important aspect of player's well-being and performance. Injury prevention has been identified as an area that has great potential for advancement through the application of big data analytics, but relatively little progress has been made to date. The prevailing sport injury management paradigm appears to lack sufficient emphasis on some important linkages of neuromuscular function and neurological processes. Our extensive review of sports medicine literature also suggests great potential for improvement of both sport-related injury management and injury prevent procedures. Unfortunately, very little high-quality research evidence is available to guide the selection of screening tests or the interpretation of their results. This study makes the first attempt in the IS field on systematically addressing this gap by synthesizing sports medicine literature to present a conceptual and theoretical underpinnings for developing a) a mobile based technology that integrates disparate data sources such as internet of things, medical records and cognitive data, b) automated data collection and analysis of on-the-fly screening processes for assessing neuromuscular or neurological injuries.
机译：与运动有关的伤害会带来巨大的经济负担，并且往往对与健康有关的生活质量产生持续的不利影响。大量的研究证据表明，以前的伤病史是整个运动季节中伤病发生的最强预测指标。尽管在第一次伤害发生之前可能已经存在易患因素，但所有伤害前功能能力的不完全恢复无疑是增加后续伤害风险的主要因素。因此，运动损伤的检测和预防成为运动员健康和表现的重要方面。预防伤害已被确认为通过应用大数据分析具有巨大发展潜力的领域，但迄今为止进展相对较小。流行的运动损伤管理范例似乎对神经肌肉功能和神经系统过程的某些重要联系缺乏足够的重视。我们对运动医学文献的广泛审查还表明，改善与运动相关的伤害管理和伤害预防程序的巨大潜力。不幸的是，很少有高质量的研究证据可用来指导筛选测试的选择或结果的解释。这项研究是IS运动领域中首次尝试通过综合运动医学文献来系统地解决这一问题，从而为开发a）基于移动技术的技术提供了概念和理论基础，该技术集成了不同的数据源，例如物联网，病历和认知数据，b）自动数据收集和动态筛选过程分析，以评估神经肌肉或神经系统损伤。

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