Real-time health monitoring by examining the role of next-generation elements in a medical app

Abstract

The healthcare sector is undergoing a profound transformation driven by the rapid rise in healthcare applications (mHealth apps), which are becoming integral to how patients manage their health. This paper examines the role of next-generation technologies such as Blockchain, the Internet of Things (IoT), Artificial Intelligence (AI) and Machine Learning (ML) in enhancing healthcare applications, specifically in telemedicine, health tracking and medical delivery. The research is motivated by the dramatic surge in mHealth app usage, particularly following the COVID-19 pandemic and the growing demand for digital solutions to improve patient care. By conducting a comprehensive analysis of existing healthcare apps, this study evaluates their functionalities, user engagement and adoption rates. It finds that integrating advanced technologies significantly improves the user experience, enhances operational efficiency and increases adoption rates among patients and healthcare providers. These technologies facilitate appointment scheduling, health monitoring and access to medical records, ultimately enabling users to manage wellness goals and illnesses more effectively. Furthermore, they streamline healthcare operations, making them more efficient and cost-effective. The paper highlights the transformative potential of integrating these technologies into healthcare apps, which can greatly improve patient care outcomes and pave the way for future innovations in digital health solutions. Through qualitative and quantitative assessments, this study provides valuable insights for developers and healthcare professionals looking to optimize the effectiveness and adoption of digital health applications.