Russian market of medical devices

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Despite the steady growth of the domestic market in recent years, the industry is still far from mature. Many people already know about digital medicine, but according to Ranking, only 8% of Russians have used telemedicine services. According to research, the first surge in interest in "smart" devices occurred in germany whatsapp number database 2022 with the launch of the federal project "Personal Medical Assistants". The "pilot" participants were Novosibirsk, Samara, Tyumen, Ryazan, Magadan regions and the Republic of Tatarstan. Patients with diabetes and arterial hypertension from these regions were given portable devices for monitoring blood pressure and sugar throughout the year.

According to the national project "Healthcare", about 7 million Russians will be provided with "smart" devices by 2030. To achieve the goal, companies will increase production volumes. According to the head of the IC "Helsnet" Maria Galyamova, four domestic manufacturers will register their devices next year. Two of them are "Sber" and the Samara State Medical University, their developments are at an advanced stage of readiness. The other two companies are not disclosed.

Petr Kshnyakin, deputy head of the laboratory of personal medical assistants at the NTI competence center "Bionic Engineering in Medicine" of the Samara State Medical University, told Izvestia that the federal project has indeed stimulated both the technological and scientific components of the personal medical devices market. The study conducted in Samara and similar ones in Ryazan and the Moscow region have confirmed the hypothesis about the effectiveness of remote monitoring for patients with heart failure on small samples of subjects. The federal project has made it possible to expand this sample by including patients from six regions of the country.

— Mass remote monitoring requires special technical preparation: integration with regional information systems and training of personnel on-site, selection of patients with the necessary indications and training them to use the devices, it is important to establish logistics for issuing gadgets. The "pilot" contributed to technical development and training of personnel, — added Kshnyakin.

The study by "Helsnet" shows that military-political and economic crises will not stop the growth of the digital healthcare market. In addition, portable medical devices can compensate for highly specialized specialists in sparsely populated regions of the country. The state supports the market in the industry, some services and projects will be financed from the budget. In the long term, the introduction of remote monitoring will reduce mortality from chronic diseases. Such forecasts can be made based on the results of clinical trials. Thus, in Samara in 2022, a study was conducted on 392 patients. Over three months of monitoring, rehospitalization and mortality in this group were three times lower than in the control group.

Artificial Intelligence and Machine Learning
A related area of ​​technological innovation with significant growth potential is the use of artificial intelligence and machine learning in the medical gadget market. Analysts have noted a surge in research activity related to the introduction of new products for various therapeutic applications.

— But those technical and architectural solutions that work well for general-purpose devices may not be suitable for medical equipment, where we are primarily obliged to ensure the safety of patients, — Elena Baranova explained. This applies both directly to human health and to the confidentiality of their medical and personal data, the expert specified.

For example, data leakage from an IoT thermometer is not critical, as are minute delays in receiving data. Even if the data from such a thermometer disappears within a few hours of operation, it is not a matter of life and death, the expert believes.

Konstantin Mantsvetov reminds us that the integration of artificial intelligence and diagnostics has revolutionized the way we detect and treat diseases. AI-based tools use machine learning algorithms and extensive medical knowledge bases. They analyze images, help assess symptoms using chatbots, and are even used in genomic analysis to create individual treatment plans.