Abstract:

In the era of globalization, there is a need to access any data from the most remote parts of the world. The world has gradually begun to switch to electronic versions of medical records, but they are not distributed in all medical institutions and these cards are intended only for the institutions themselves. A more universal solution would be to create a system for maintaining and monitoring the patient´s condition, which will not be tied to a particular institution. Also, all modern medical institutions store only data taken in a certain period of time, which does not give us a complete picture of the human condition. There are the following reasons for creating large-scale databases in the medical system: The patient´s medical records are outdated, and when they are used there are a lot of problems that do not arise when using electronic versions. Non-operational access to information. With the electronic version, you can get information much faster when it is urgently needed, for example, when calling an ambulance. Much larger range of information needed for diagnosis. Currently, the patient´s card does not contain enough information necessary for prompt and effective treatment. This concept has an advantage over other modern electronic means of storing information about the patient, because they are all tied to certain medical institutions, which is impractical in terms of access to information. It is more practical to replace a bunch of unrelated repositories with one large and universal one with the possibility of division into subdivisions. This allows you not to be tied to a particular institution and access data in a manner similar to viewing a profile on social networks. The advantage of such a system is open access, which will allow the patient to monitor their condition directly at home through personal or specialized means of displaying information. This advantage can be important, for example, for the elderly, who may find it critical to monitor their health, but their condition allows them to stay at home.

Keywords: storage, data, information, diagnostics, clinic