Perspective Chapter: Integrating Large Language Models and Blockchain in Telemedicine

Abstract

This perspective paper examines how combining artificial intelligence in the form of large language models (LLMs) with blockchain technology can potentially solve ongoing issues in telemedicine, such as personalized care, system integration, and secure patient data sharing. The strategic integration of LLMs for swift medical data analysis and decentralized blockchain ledgers for secure data exchange across organizations could establish a vital learning loop essential for advanced telemedicine. Although the value of combining LLMs with blockchain technology has been demonstrated in non-healthcare fields, wider adoption in medicine requires careful attention to reliability, safety measures, and prioritizing access to ensure ethical use for enhancing patient outcomes. The perspective article posits that a thoughtful convergence could facilitate comprehensive improvements in telemedicine, including automated triage, improved subspecialist access to records, coordinated interventions, readily available diagnostic test results, and secure remote patient monitoring. This article looks at the latest uses of LLMs and blockchain in telemedicine, explores potential synergies, discusses risks and how to manage them, and suggests ways to use these technologies responsibly to improve care quality.