Factors Influencing Adoption of Disruptive Technologies in Healthcare in India: A Review

Sushim Shrivastava, Shalini Chandra, Muniza Askari
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引用次数: 1

Abstract

In India, there is a severe shortage of trained healthcare professionals. Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Internet of Things (IoT), Cloud Computing, and 5G (together referred to as disruptive technologies) offer much potential for the Global Healthcare scenario. These disruptive technologies can improve doctors' efficiency and help alleviate the shortage of doctors. While these technologies brought many benefits to developed nations, their deployment in developing countries, especially India, may have challenges. Challenges go multiple folds because these technologies are still evolving and a significant segment of deployment of disruptive technologies is in early stages even in developed nations. This paper reviews the relevant literature and tries to explain the relevance of disruptive technologies for India. It assumes that learnings from developed and developing nations can be applied to India with some modifications. Through surveying existing literature, this paper looks at what Indian Healthcare is and presents factors affecting the deployment of disruptive technologies in Indian Healthcare.
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影响印度医疗保健采用颠覆性技术的因素:综述
在印度,训练有素的医疗保健专业人员严重短缺。人工智能(AI)、机器学习(ML)、深度学习(DL)、物联网(IoT)、云计算和5G(统称为颠覆性技术)为全球医疗保健场景提供了巨大的潜力。这些颠覆性的技术可以提高医生的效率,帮助缓解医生短缺的问题。虽然这些技术给发达国家带来了许多好处,但在发展中国家,尤其是印度,它们的部署可能会面临挑战。挑战是多重的,因为这些技术仍在发展,即使在发达国家,颠覆性技术的部署也有很大一部分处于早期阶段。本文回顾了相关文献,并试图解释印度颠覆性技术的相关性。它假设发达国家和发展中国家的经验可以在稍加修改后应用于印度。通过调查现有文献,本文着眼于印度医疗保健是什么,并提出了影响印度医疗保健颠覆性技术部署的因素。
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