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| Title | Ai And Blockchain Framework For Healthcare Applications |
|---|---|
| ID_Doc | 6893 |
| Authors | Ramachandran M. |
| Year | 2024 |
| Published | Facta Universitatis, Series: Electronics and Energetics, 37, 1 |
| DOI | http://dx.doi.org/10.2298/FUEE2401169R |
| Abstract | Artificial Intelligence (AI) has impacted global economy, workforce productivity, smart health, smart cities, smart transport, and much more to come. Large Language Models (LLM) such as ChatGPT and Google’s Gemini, have been widely adopted in various applications. Blockchain Technology stands as a towering disruptor in today's tech landscape, offering assurances of enhanced security and scalability for various applications. Within the realm of healthcare, its adoption has surged, spanning from streamlined record-keeping to bolstered clinical trials, fortified medical supply chains, and vigilant patient monitoring. These applications harness the intrinsic attributes of blockchain to elevate standards of safety, privacy, and security within the healthcare sector. The combined power of AI and blockchain has the potential to revolutionize healthcare delivery, ensuring improved security, transparency, and efficiency. Nevertheless, Porru et al. [1] have highlighted deficiencies in the processes, tools, and techniques within this domain. Hence, this paper aims to furnish a structured framework that ensures both security and sustainability in the development of healthcare blockchain applications. This paper also provides an overview of societal impact on both technologies. This article has evolved best practice guidelines and a systematic development framework for AI-Blockchain integration, known as AI-BlockchainOps. This research has also developed a reference architecture, exemplifying the modeling of an Electronic Health Record (EHR) using BPMN and simulation. Within this Electronic Health Record (EHR) scenario encompassing 100 user requests, the simulation absorbed 97.09% of cloud resources, with 76.33% allocated to knowledge discovery, and a utilization rate of 93.20% for blockchain scientists, alongside various other contributing factors. © 2024 by University of Niš, Serbia. |
| Author Keywords | AI; Blockchain; Requirements Engineering for AI-Blockchain (RE-AIBC); Secure and Sustainable Software Engineering Framework for AI-Blockchain (AI-BlockchainOps); Smart Contract |
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