健康领域的区块链--从试点到主流以及对人工智能的影响

Sathya Krishnasamy, MS, Badri Gopalakrishnan, PhD, Atul Apte, BSc, MODERATOR: Anjum Khurshid, MD, PhD
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引用次数: 0

摘要

演讲者深入探讨了之前发表的 BHHTY 期刊文章 "超越概念验证和试点,迈向主流:区块链在医疗保健领域的探索与经验》,网址:https://doi.org/10.30953/bhty.v6.280。这一持续的企业区块链技术之旅扩展了框架和解决方案组合,包括进一步的发展,并与生成式人工智能和伦理学交叉。目标 了解有关区块链经济学的具体案例,揭示从试点到采用的低悬果实。探索以下概念 数据完整性、最小数据、实体间精简以提高效率,以及技术堆栈的发展和效率经济学(以百万为单位)已成为可能,文章来自之前发表的 BHTY 文章(DOI: https://doi.org/10.30953/bhty.v6.280) 学习其他垂直行业的经验,以建立一个更全面、涵盖全球视角的框架 针对不断发展的技术进行未来验证和阶梯式设计--为寻找和执行机会提供整体指导 根据文章获得区块链应用框架。此外,作者还论述了区块链应用的学术观点,即区块链应用是技术、政策、经济、消费者参与和可操作性的结合。获得多维度的发现和具体的区块链构造,包括出处-共识、信任地图、融合、dApp 人际循环和未来证明/阶梯式发展 掌握全球视角,了解许多垂直领域不断发展的框架,以及区块链转型、运营、区块链-企业格局和人工智能自动化的多维度性质。更好地理解为什么区块链是未来负责任的人工智能和解决方案可扩展性的必要技术
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Blockchain in Health - From Pilots to Mainstream and Implications for AI
Speakers delve into and beyond the previously published BHHTY journal article “Moving Beyond Proof of Concept and Pilots to Mainstream: Discovery and Lessons from Blockchain in Healthcare,” located at https://doi.org/10.30953/bhty.v6.280. This continuous enterprise blockchain technology journey extends the framework and solution assemblies including further developments, with cross over into generative AI and ethics. Objectives Learn specific examples on the economics of blockchain revealing low-hanging fruit for the move from pilots to adoption. Explore concepts such as: Data integrity, minimal data, inter-entity streamlining leading to efficiencies, and what is already possible with tech stack developments and economics in efficiency (in millions) from the previously published BHTY article at DOI: https://doi.org/10.30953/bhty.v6.280 Learn from other verticals to build a framework that is more comprehensive encompassing global perspectives Future proofing and stair-stepping design for an evolving technology – holistic guidance to find and execute the opportunities Obtain a framework for blockchain adoption based on the article. In addition, authors address the academic view of blockchain adoption, and that it is a combination of tech, policy, economics, consumer engagement, and operationalization. Acquire multi-dimensional discovery and specific blockchain constructs including provenance- consensus, trust maps, convergence, dApp human loops, and future proofing /stair-stepping Grasp global perspectives on evolving frameworks with in many verticals and the multi-dimensional nature of blockchain transformation, operationalization, blockchain-enterprise landscape, and AI automation. Gain a better understanding of why is blockchain an essential technology for the future of responsible AI and for scalability of solutions
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来源期刊
CiteScore
2.40
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期刊最新文献
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