The system analyzes the historical data of medical institutions: the number of patients with diagnosis, the treatment regime and costs. Based on this, artificial intelligence creates an incidence estimate for individual nosologies and calculates the optimal supply volume.
Pilot tests have shown that the model is 42% more effective than human planning in optimizing drug support. This prevents the lack of vital drugs, prevents the suspension of treatment due to lack of drugs, and rationally helps to use budget funds.
Technology can also predict the need for a hospital that increases the efficiency of medical institutions. The correct supply planning prevents both deficiency and excessive accumulation of drugs.
The decision was presented at the Eastern Economic Forum.
Source: Ferra
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