A key benefit of merging computer science with healthcare management is to transform how the patient is treated and how the organisation works. This research examines the application of modern computer science technologies such as AI, big data utilisation, AR, and GANs in healthcare organisations. Some of the important conclusion are as follows: While using AI in diagnostic tools, early disease detection increased by 15% while using big data analytics, it possible to increase operation efficiency by 20% by using resources judiciously. AR applications increased procedural training performance by 25% while GANs accurately synthesised medical imagery for surgical planning at 95%. The purpose of the study is also to identify the prospectives as well as the limitations of these technologies, to show that future work in these directions is needed. These advancements can be utilized to improve the precision in which diseases and disorders are diagnosed as well as the treatment received by the patient, and the effectiveness of the administration of healthcare systems. The findings of this study are also especially helpful for present and future developments in practice and research offers the potential to apply computer science innovations in health care.