Transforming Telemedicine: Optimizing Cloud Computing and IoT for Security, Digital Trust, and the Influence of E-WOM in Modern Healthcare Services

Abstract

Telemedicine has emerged as a transformative solution in modern healthcare, leveraging Cloud Computing, the Internet of Things (IoT), and AI-driven diagnostics to enhance medical service accessibility, efficiency, and patient engagement. This study explores the key factors influencing telemedicine adoption, including technological integration, patient trust, regulatory challenges, and the impact of Electronic Word of Mouth (E-WOM) on user perceptions. Findings indicate that Cloud-based healthcare systems improve real-time data access and interoperability, while IoT-enabled medical devices enhance remote patient monitoring and chronic disease management. However, challenges such as data security risks, inconsistent telemedicine regulations, and digital literacy barriers remain significant obstacles to widespread adoption. Additionally, the influence of E-WOM is crucial, as patient feedback and online reviews significantly affect trust and adoption rates. Addressing these challenges requires robust cybersecurity measures, global regulatory standardization, and improved digital health literacy. This study highlights the need for further research into AI-powered diagnostics, blockchain security for medical records, and hybrid telemedicine models to ensure a sustainable, secure, and universally accessible healthcare system.