Revolutionizing Health Care With AI-Powered Contactless Remote Patient Monitoring: The Case of Dozee

Abstract

Abstract The advent of Artificial Intelligence (AI) is transforming health care, particularly in remote patient monitoring (RPM). This chapter explores the clinical and business impact of Dozee, an AI-powered noninvasive RPM system designed to fill critical gaps in patient care, especially in non-ICU settings. By continuously tracking vital signs, Dozee enables early detection of deteriorating health conditions, triggering timely interventions. Its AI-powered Early Warning System (EWS) can predict health complications up to 16 hours in advance, thereby enhancing patient outcomes. The system’s scalability and cloud integration facilitate its use across hospitals and home care settings, offering an efficient, noninvasive alternative to traditional monitoring methods. Additionally, Dozee’s regulatory compliance ensures the highest standards of patient data safety and system reliability. This chapter discusses how Dozee’s innovative technology is driving the adoption of AI in health care, leading to operational efficiencies, cost savings, and enhanced patient experiences. The case of Dozee exemplifies the future of value-based care in an increasingly digital and data-driven healthcare landscape.

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