Introduction:
Primary care physicians play a central role in the management of patients presenting with persistent or new symptoms after COVID‑19 infection. Inadequate recording of long‑COVID-related conditions in electronic health records and variability in ICD‑10 coding practices hinder accurate epidemiological assessment and planning of primary care resources.

Aim of the research:
To characterize health problems recorded in primary care after COVID‑19 infection, assess diagnostic trends between 2018–2024, and compare ICD‑10 category dynamics before and after the pandemic.

Material and methods:
A retrospective observational study was conducted using anonymised electronic medical record data from 11 primary healthcare facilities reporting to the CliniNET system. The analysis included 68,926 unique adult patients with at least one ICD‑10 diagnosis from predefined categories. Temporal trends and differences between the pre‑pandemic (2018–2020) and post‑pandemic (2021–2024) periods were evaluated.

Results:
The study demonstrates substantial post‑pandemic increases in several ICD‑10 diagnostic A total of 249,582 patient‑events were analyzed. The most frequent ICD‑10 categories were type 2 diabetes (E11), dyslipidaemia (E78), and spondylosis (M47). Between the two analyzed periods, the number of patients increased by 39% (from 102,343 to 141,977). The highest proportional increases were observed for E16, E79, T78, J98, and F03. Metabolic, cardiovascular and musculoskeletal conditions accounted for the majority of patient visits.

Conclusions:
The study demonstrates substantial post‑pandemic increases in several ICD‑10 diagnostic groups and highlights the need for consistent coding practices to ensure appropriate clinical management, resource planning and epidemiological monitoring. Accurate post‑COVID documentation and thorough clinical interview remain essential in primary care.