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Issue: 2026, Vol. 31, No. 2

V. S. Lesovik, A. A. Netskina, O. V. Zaitsev

DIGITAL TECHNOLOGIES AND PROGNOSTIC SCALES IN WOUND ASSESSMENT: CLINICAL UTILITY, MARKET ANALYSIS, AND IMPLEMENTATION PATHWAYS

Keywords
wound assessment scales, wound healing, artificial intelligence, clinical utility
Abstarct
The evolution of wound assessment methods – from clinical scoring systems to AI-powered digital platforms – is analyzed. Standardization of wound evaluation is critical for objective healing monitoring, risk prediction, and optimization of interdisciplinary collaboration. Specialized diabetic foot scales such as WIfI and SINBAD demonstrate high prognostic value in stratifying amputation risk. Digital systems (Swift Medical, Tissue Analytics) achieve measurement accuracy of 95–98% and reduce interrater variability by 60–80 %. Global market data (2015–2025) indicate growth from USD 450 million to 1.8 billion (CAGR: 14.3%), with projections reaching USD 4.2 billion by 2030. Key growth drivers include population aging, rising diabetes prevalence, and telemedicine expansion. Clinical evidence confirms that digital documentation reduces wound assessment time by more than half and lowers treatment costs by 12%. AI-based models detect sepsis risk 4–6 hours earlier than conventional criteria. Implementation challenges include fragmented standards, data quality requirements, and integration with electronic health records. Future directions encompass multimodal analysis, explainable AI, and remote monitoring capabilities. The integration of validated clinical scales with digital platforms represents an evidence-based strategy for improving both clinical outcomes and cost-effectiveness in the management of chronic and infected wounds.

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