Healthcare, the world's largest and most critical industry, is undergoing transformative change due to the Internet of Things (IoT). As healthcare providers increasingly invest in technology to improve care delivery, the Internet of Medical Things (IoMT) has emerged as a dynamic and integrated ecosystem of interconnected medical devices, sensors, and software platforms. IoMT facilitates remote healthcare by continuously monitoring patients' vital signs, managing chronic diseases, assisting elderly care, and enabling epidemic response through population-level surveillance. The adoption of Artificial Intelligence (AI) enhances diagnostic precision and preventive care, while software frameworks such as Node.js, Django, and Python power scalable applications. AI-based anomaly detection systems in smart hospitals help reduce inefficiencies, prevent medical errors, and mitigate cybersecurity risks. This research paper investigates the pivotal role of software programming in building robust IoT-enabled healthcare infrastructures. It emphasizes how modern development environments and data analytics are reshaping patient outcomes and healthcare delivery efficiency.