This review article examines the rapid integration of new technologies into modern healthcare systems to address critical challenges such as inefficiencies, rising costs, limited access, and complexities in data administration. The primary concern is the fragmented application of digital tools and technology, which often exhibit deficiencies in interoperability and scalability within healthcare systems. The technique involved a systematic literature assessment of over 40 peer-reviewed articles from the past decade, concentrating on technologies such as artificial intelligence (AI), Internet of Medical Things (IoMT), blockchain, telemedicine, and big data analytics. The study employed thematic analysis to categorise and evaluate the functions, benefits, and limitations of several technologies within clinical, administrative, and research sectors. The findings indicate significant enhancements in diagnostic precision, remote patient surveillance, instantaneous data transmission, and personalised treatment regimens. Data protection, regulatory compliance, infrastructural inadequacies, and user adoption pose significant challenges. The article concludes that while emerging technologies are transforming patient outcomes and healthcare delivery, a reliable framework ensuring security, interoperability, and ethical governance is essential for sustainable use. Future research should prioritise the explicability of artificial intelligence, criteria for integration, and equitable access to advancements in digital healthcare.