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<p>This study presents a comprehensive comparative analysis of smart contract applications in healthcare across scholarly publications and patents, addressing the growing importance of blockchain technology in healthcare systems. Through a multi-stage computational analysis pipeline, we examined 4156 scholarly publications and 10,204 patents to identify knowledge transfer patterns, keyword evolution, and innovation dynamics. Our findings challenge traditional models of knowledge diffusion by revealing a bidirectional flow of innovation between academic and commercial domains, with technical keywords often appearing in patents years before scholarly exploration (mean lag of − 8.12&#xa0;years). The analysis demonstrates distinct but complementary conceptual emphases: patents focus primarily on technical implementation mechanisms while publications emphasize governance frameworks, interoperability standards, and ethical considerations. Geographic analysis revealed striking asymmetries, with European institutions dominating scholarly output while the United States holds overwhelming dominance in patent activity. Using advanced semantic analysis through SciBERT embeddings, we identified two distinct clusters within scholarly publications, with application-oriented research representing the largest thematic focus (79.4% of publications).This research contributes to understanding the complex ecosystem of healthcare blockchain innovation and highlights significant opportunities for improved knowledge integration between academic research and commercial development to advance secure, ethical implementations of smart contract technology in healthcare.</p>

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Divergent priorities, convergent goals: semantic analysis of publications and patents in healthcare smart contracts

  • 期刊论文

  • 发表日期：

    2025年11月6日

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  • Serhat Burmaoglu,
  • Esra Dundar Aravacik,
  • Arif Soyler

摘要

This study presents a comprehensive comparative analysis of smart contract applications in healthcare across scholarly publications and patents, addressing the growing importance of blockchain technology in healthcare systems. Through a multi-stage computational analysis pipeline, we examined 4156 scholarly publications and 10,204 patents to identify knowledge transfer patterns, keyword evolution, and innovation dynamics. Our findings challenge traditional models of knowledge diffusion by revealing a bidirectional flow of innovation between academic and commercial domains, with technical keywords often appearing in patents years before scholarly exploration (mean lag of − 8.12 years). The analysis demonstrates distinct but complementary conceptual emphases: patents focus primarily on technical implementation mechanisms while publications emphasize governance frameworks, interoperability standards, and ethical considerations. Geographic analysis revealed striking asymmetries, with European institutions dominating scholarly output while the United States holds overwhelming dominance in patent activity. Using advanced semantic analysis through SciBERT embeddings, we identified two distinct clusters within scholarly publications, with application-oriented research representing the largest thematic focus (79.4% of publications).This research contributes to understanding the complex ecosystem of healthcare blockchain innovation and highlights significant opportunities for improved knowledge integration between academic research and commercial development to advance secure, ethical implementations of smart contract technology in healthcare.