Improving Health Care with Advanced Analytics: Practical Considerations.

Jose Benuzillo, Lucy A Savitz, Scott Evans
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引用次数: 2

Abstract

Artificial intelligence (AI) is becoming ubiquitous in health care, largely through machine learning and predictive analytics applications. Recent applications of AI to common health care scenarios, such as screening and diagnosing, have fueled optimism about the use of advanced analytics to improve care. Careful and objective considerations need to be made before implementing an advanced analytics solution. Critical evaluation before, during, and after its implementation will ensure safe care, good outcomes, and the elimination of waste. In this commentary we offer basic practical considerations for developing, implementing, and evaluating such solutions based on many years of experience.

改善医疗保健与先进的分析:实际考虑。
人工智能(AI)在医疗保健领域正变得无处不在,主要是通过机器学习和预测分析应用。最近,人工智能在筛查和诊断等常见医疗场景中的应用,引发了人们对使用高级分析来改善医疗的乐观情绪。在实现高级分析解决方案之前,需要进行仔细和客观的考虑。在实施之前、期间和之后进行严格的评估将确保安全护理、取得良好结果并消除浪费。在这篇评论中,我们根据多年的经验提供了开发、实施和评估此类解决方案的基本实际考虑因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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