Lee Michelle S, Grabowski Matthew M, Habboub Ghaith, Mroz Thomas E
Cleveland Clinic Foundation, Cleveland, OH, USA.
Global Spine J. 2020 Jan;10(1 Suppl):99S-103S. doi: 10.1177/2192568219878133. Epub 2020 Jan 6.
As exponential expansion of computing capacity converges with unsustainable health care spending, a hopeful opportunity has emerged: the use of artificial intelligence to enhance health care quality and safety. These computer-based algorithms can perform the intricate and extremely complex mathematical operations of classification or regression on immense amounts of data to detect intricate and potentially previously unknown patterns in that data, with the end result of creating predictive models that can be utilized in clinical practice. Such models are designed to distinguish relevant from irrelevant data regarding a particular patient; choose appropriate perioperative care, intervention or surgery; predict cost of care and reimbursement; and predict future outcomes on a variety of anchored measures. If and when one is brought to fruition, an artificial intelligence platform could serve as the first legitimate clinical decision-making tool in spine care, delivering on the value equation while serving as a source for improving physician performance and promoting appropriate, efficient care in this era of financial uncertainty in health care.
随着计算能力的指数级增长与不可持续的医疗保健支出相交汇,一个充满希望的机会出现了:利用人工智能提高医疗保健质量和安全性。这些基于计算机的算法可以对大量数据执行分类或回归等复杂且极其复杂的数学运算,以检测该数据中复杂且可能先前未知的模式,最终创建可用于临床实践的预测模型。此类模型旨在区分与特定患者相关或不相关的数据;选择适当的围手术期护理、干预或手术;预测护理成本和报销情况;并根据各种既定指标预测未来结果。如果且当其中一个得以实现,人工智能平台可以成为脊柱护理中首个合法的临床决策工具,在实现价值等式的同时,作为提高医生绩效的源泉,并在这个医疗保健面临财务不确定性的时代促进适当、高效的护理。