Digital Health: Forecast for 2025-2030 DOI: 10.29188/2712-9217-2025-11-3-7-18

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This report presents a forecast for the development of digital healthcare for the period 2025–2030, based exclusively on the principles of evidence-based medicine (EBM) and an analysis of regulatory trends.

The years 2025–2030 will mark a fundamental transition – from the stage of proving concepts and demonstrating clinical efficacy to the stage of large-scale implementation, optimization of integration processes, and demonstration of value. The key challenges during this period will be not technological constraints, but systemic issues: ensuring semantic interoperability of data, adapting the regulatory framework – particularly regarding artificial intelligence—and overcoming barriers to real-world adoption, including the shortage of trained personnel, physician cognitive overload, and the lack of seamless integration into existing clinical workflows.

The main conclusion is that technologies unable to demonstrate clear economic efficiency and seamless integration into existing IT infrastructures will not be adopted by practicing clinicians and healthcare administrators, regardless of their reported clinical accuracy.

Successful implementation will require healthcare leaders to invest primarily in people and processes, not solely in software.