Leveraging AI Tools to Bridge the Healthcare Gap in Rural Areas in India

Ajit Kerketta, Dr. Sathiyaseelan Balasundaram
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Abstract

Introduction: Despite considerable progress in the healthcare sector, rural regions continue to grapple with healthcare deficiencies. However, the emergence of AI technology offers promising solutions to overcome these hurdles. Hence, the study explores the potential and efficacy of introducing artificial intelligence (AI) tools to address the healthcare disparity in rural India. Methods: The research employed a literature review method and gathered data from various databases such as Science Direct, PubMed, and Google Scholar. The screening process was aided by the Rayyan electronic software. Articles published in English between January 2020 and December 2022 were selected, followed by a thematic analysis of the findings. Results: Results indicate the potential of AI in rural healthcare settings, showing AI-driven solutions addressing healthcare access gaps and contributing to their bridging. The study also highlights hurdles related to AI tool adoption in rural healthcare and proposes collaborative efforts among policymakers, healthcare providers, and technology developers to integrate AI tools effectively. This necessitates advocating for digital infrastructure investments, capacity-building initiatives, and conducive regulatory frameworks for AI implementation. Conclusion: The study underscores AI's transformative role in bridging the healthcare gap in rural India. By harnessing AI technologies, healthcare providers and policymakers can surmount barriers, empower local healthcare workers, and improve health outcomes for rural communities. The insights and recommendations contribute to the evolving knowledge base on leveraging AI for adequate healthcare delivery, guiding future initiatives in similar contexts.
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利用人工智能工具缩小印度农村地区的医疗差距
导言:尽管医疗保健领域取得了长足的进步,但农村地区仍然面临着医疗保健不足的问题。然而,人工智能技术的出现为克服这些障碍提供了前景广阔的解决方案。因此,本研究探讨了引入人工智能(AI)工具解决印度农村地区医疗差距的潜力和效果:本研究采用文献综述法,从 Science Direct、PubMed 和 Google Scholar 等各种数据库中收集数据。筛选过程由 Rayyan 电子软件辅助。研究选取了 2020 年 1 月至 2022 年 12 月间发表的英文文章,然后对研究结果进行了专题分析:结果:研究结果表明了人工智能在农村医疗环境中的潜力,显示了人工智能驱动的解决方案能够解决医疗服务缺口,并有助于缩小这些缺口。研究还强调了在农村医疗保健中采用人工智能工具的相关障碍,并建议政策制定者、医疗保健提供者和技术开发者通力合作,有效整合人工智能工具。这就需要倡导数字基础设施投资、能力建设倡议以及有利于人工智能实施的监管框架:本研究强调了人工智能在缩小印度农村医疗差距方面的变革性作用。通过利用人工智能技术,医疗服务提供者和决策者可以克服障碍,增强当地医疗工作者的能力,改善农村社区的医疗成果。这些见解和建议为利用人工智能提供适当的医疗保健服务的知识库的发展做出了贡献,并为类似情况下的未来举措提供了指导。
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