Intelligent Monitoring of Health Conditions in Patients with Diabetes in the Context of Healthcare Digitalization.

Objectives: The aim of this study is to explore the potential applications of intelligent health monitoring for patients with diabetes in Russian endocrinological practice. Materials and Methods: This qualitative study was conducted between 2022 and 2023 and involved 18 practicing endocrinologists from 16 outpatient clinics in Moscow, Russia. Participants were recruited using a snowball sampling method. Data were collected through expert interviews and analyzed using discursive and hermeneutic approaches. Results: Most respondents indicated that intelligent monitoring technologies are likely to be adopted primarily by younger patients with type 1 diabetes. The high cost of digital health tools and related consumables was identified as a major barrier to broader implementation. The most in-demand features include continuous glucose monitoring, carbohydrate counting, and food diary functions. Twelve experts emphasized the importance of tracking blood glucose and glycated hemoglobin levels. Participants highlighted that intelligent monitoring can improve pa-tients' quality of life by enabling timely therapy adjustments, preventing complications, and supporting more effective disease self-management. In addition, nearly all respondents (n=17) recognized the value of these technologies in contributing to large-scale clinical research through continuous data collection. Conclusions: The study demonstrates strong interest among endocrinologists in the adoption of intelligent health monitoring systems and identifies key functionalities needed in clinical practice. While these technologies have the potential to enhance diabetes care, their succes-sful integration requires attention to economic accessibility and age-related user differences.