Dychka A. Algorithms and software for automatic identification processes based on multicolor interference-resistant barcodes in medical information systems

Automatic identification is a technology for entering information into the processing system by scanning a special mark applied to the surface of the accounting object. Data entry based on barcoding of information is one of the most common types of automatic identification, the advantages of which are high speed and accuracy of data entry into the computer system. The technology of barcoding information is used in various industries, its application is also relevant for the medical industry. With the development of information technology, the task of informatization for medical industry arises. Digital medicine is an important component of public life. One of the important components of e-health is medical information systems. The medical information system is a software and hardware complex, the use of which allows to increase the efficiency of the functioning of a medical institution and improve the organization of patient care. The analysis of existing medical information systems shows that the degree of automation of processes in the provision of medical services is insufficient; it is necessary to strengthen the protection and integrity of personal and medical data of patients, automate patients' access to their own medical data, and to ensure electronic visually secure interaction between doctor and patient using mobile devices. The solution of these problems is possible due to the use of multicolor barcoding of information in the medical information system, which allows several times to increase the information density of barcode symbols compared to black and white barcodes. The outlined tasks and trends in the development of digital medicine determine the actual scientific and technical task of improving and developing the theoretical foundations of creating algorithmic and software tools for automatic identification processes in medical information systems based on multicolor noise- immunity barcoding of personal and medical data of patients using mobile devices, which is solved in this dissertation. The purpose of the dissertation is to improve the technology of developing specialized applied software as part of medical information systems based on automatic identification of medical documentation objects using multicolor noise- resistant barcoding of information.