The Machine-Human Collaboration in Healthcare Innovation

Toward Super-Creativity - Improving Creativity in Humans, Machines, and Human - Machine Collaborations Pub Date : 2019-10-08 DOI:10.5772/intechopen.88951

Neta Kela-Madar, I. Kela

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引用次数: 1

Abstract

The biopharma industry is in crisis, demonstrated by unsustainable research and development (R&D) costs. In parallel, the healthcare system suffers from skyrocketing costs, driven by the prevalence of chronic diseases and increased life expectancy. Innovative technologies have the potential to alleviate challenges both in the biopharma R&D model and in healthcare. This chapter considers how Big Data analysis based on artificial intelligence and machine learning offer opportunities to drive greater efficiency across the entire R&D value chain, enhance the quality of assets produced, and improve the time and cost to bring products to market. We also consider the unique challenges that arise with the integration of these fields into healthcare and medicine, specifically, the initially high costs when new medical and healthcare technologies are brought to the marketplace; widening socioeconomic health inequalities due to high marketplace costs; and unique methodological challenges presented by cross industry innovation, research, development, and implementation.

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医疗保健创新中的人机协作

生物制药行业正处于危机之中，不可持续的研发成本证明了这一点。与此同时，由于慢性病的流行和预期寿命的延长，医疗保健系统的成本也在飙升。创新技术有可能缓解生物制药研发模式和医疗保健领域的挑战。本章考虑了基于人工智能和机器学习的大数据分析如何提供机会，以提高整个研发价值链的效率，提高生产资产的质量，并缩短产品上市的时间和成本。我们还考虑了将这些领域整合到医疗保健和医学中所产生的独特挑战，特别是，当新的医疗和医疗保健技术进入市场时，最初的高成本;由于市场成本高，社会经济卫生不平等现象日益扩大;跨行业创新、研究、开发和实施带来了独特的方法论挑战。

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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Toward Super-Creativity - Improving Creativity in Humans, Machines, and Human - Machine Collaborations

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