Date of Publication :5th June 2025

Abstract: In this current era, several humans are suffering from health diseases, and the diagnosis process will be arduous to know the actual issue. Programming technologies contain many techniques to accomplish high values in healthcare activities such as diagnosis, decision-making, support, and treatment. However, there are several difficulties in understanding the root causes of the actual issue in the body. A programming technique with AI can improve the end-to-end process and save lives. A healthcare knowledge management system can ensure that the knowledge development system is based on several data sets in the hospital. It will enhance the big data technologies to capture, organize, transfer, and manage the large amount of the data of medical knowledge, which can’t be handled with traditional data handling process techniques. Moreover, machine learning algorithms are used to drive understanding at the higher process level and treatment of patients. It will try to search for similar patterns of diseases in the data banks and try to give the output. This can lead to making an appropriate treatment and post-recovery process. The orchestration of the knowledge system, big data, and artificial intelligence bring several advantages to the healthcare system. My research shows that the system effectively ensures the knowledge development process, serving the knowledge exploration to improve the decision-making in the healthcare system and laboratories. The knowledge orchestration is demonstrated for detecting high blood pressure and brain hemorrhage in text and CT or MRI image processing for records of the hospitals. It could support doctors in accurately diagnosing diseases and giving appropriate treatment procedures.

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