ScholarWorks@경상국립대학교

초록

This study analyzed patent trends in decision support systems for worker health management to provide foundational data for future development of worker decision support systems. A total of 989 patents retrieved from the KIPRIS website, spanning from 1997 to 2025, were analyzed using Python-based Jupyter Notebook with keywords including "worker" and IPC codes (G16H/G06N/H04W). The analysis revealed four distinct periods of technological evolution: Period 1 exhibited a concentrated hub network centered on a few core technologies; Period 2 showed keyword diversification with the emergence of platform and smart technologies; Period 3 entered a convergent stage with the proliferation of AI and big data; and Period 4 demonstrated the convergence of mega-topics based on hyper-connected platforms and generative AI technologies, illustrating temporal changes across periods. Future research could verify whether shifts in network centrality correlate with actual industrial competitiveness, potentially serving as a strategic decision-making tool.

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