The promise of remote patient monitoring (RPM) lies in its ability to revolutionize health care delivery by enabling continuous, real-time tracking of patient health outside traditional clinical settings. The COVID-19 pandemic accelerated the adoption of RPM, particularly in underserved and rural populations, highlighting both its potential and the persistent barriers that limit its widespread use. This paper explores the critical role of technological advancements—such as wearables, artificial intelligence (AI), and broadband expansion—in sustaining and optimizing RPM in the postpandemic era. We examine Michigan as a microcosm of national health care challenges, focusing on its diverse population and geographic barriers, and propose condition-specific RPM protocols to address these inequities. Key facilitators and barriers to RPM implementation are discussed, with a focus on AI integration, community engagement, and digital infrastructure. We also explore the role of policy reform and public–private partnerships in supporting RPM’s scalability and long-term sustainability. Our findings suggest that while RPM offers a powerful tool for improving health care access and outcomes, especially for chronic conditions and rural maternal health, sustained investment in technology and infrastructure is critical. By addressing these challenges, RPM can become a cornerstone of modern health care, reducing disparities and improving care delivery for underserved populations.