In the past few years it was clear that mobile cloud computing was established via integrating both mobile computing and cloud computing to be add in both storage space and processing speed. These advancements in mobile computing has a potential impact to improve health care delivery, reduce health care costs, make health care services more convenient to patients and increase the overall efficiency and effectiveness of health care providers. The system provides assistance to patients identifies and selects doctors based on the location and the specialties of the doctors. The system allows patients to make appointments with doctors and assigns reminders to take the prescribed medications and vaccinations. The results of testing the applications show a big saving of time and mobility of doctors and patients. The system allows patients to take the prescribed medications and vaccinations. Generally referred to as m-Health, mobile devices are used in conjunction with other information and communication technology facilities to deliver care. A promise of m-Health is its capacity to facilitate the consumption of Electronic Health Record (EHR) data using mobile devices, which is central to promoting remote healthcare delivery. Through mobile technology, physicians are facilitated to interact with patients in a more efficient manner. m-Health employs mobile technology, remote healthcare delivery can be facilitated through patient monitoring, patient data collection, out of health facility patient care, and cost management I.INTRODUCTION Efficient Emergency Pharmaceutical Service via Cloud Server that is used to focuses on supporting patients (persons with tender hemophilia) to self-regulate wounds in occasions of minor scenes. In this Application patients to self-manage injuries in cases of minor incidents. If patients have any query about the minor health problem , they will send the query and get the information about how to manage the injuries. This involves bi-directional exchanges of the Electronic Health Record (EHR) amongst patients and the care facility. In any case, mobile phones rely on wireless communication channels (e.g., 3.5/4G, et cetera.) to transmit data and these channels can experience sporadic disconnections due to bandwidth fluctuations and user mobility. This work took advantage of the ubiquitous nature of mobile cloud computing and proposes a middleware, which facilitates efficient process of medical data synchronization, and with minimal latency. The work details state-of-the-art architecture of the cloud-based middleware that is built and tested for real-world use following four methodologies namely: reflective, tuple space, contextawareness, and event-based.