Technological adoption trends in healthcare: a bibliometric and network analysis across a global tech manufacturer

Jun Takagi (), Keisuke Shinagawa () and Tetsuaki Oda ()
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Jun Takagi: Graduate School of Technology Management (MOT), Ritsumeikan University, Osaka, Japan
Keisuke Shinagawa: Fukuoka Women’s University, Fukuoka, Japan
Tetsuaki Oda: Graduate School of Technology Management (MOT), Ritsumeikan University, Osaka, Japan

Access Journal, 2026, vol. 7, issue 2, 331-354

Abstract: Healthcare systems worldwide face growing challenges, including aging populations, rising healthcare costs, workforce shortages, and increasing demand for equitable care. Emerging technologies are increasingly expected to address these issues and transform healthcare delivery. Objectives: This study aims to analyze long-term trends in new technology adoption in healthcare by examining bibliometric networks of healthcare-related publications co-authored by researchers affiliated with Qualcomm, a global leader in semiconductor and telecommunications technologies. Methods/Approach: Using the PubMed database, healthcare-related publications co-authored by Qualcomm-affiliated researchers between 2005 and 2024 were identified and analyzed through bibliometric network analysis. VOSviewer was employed to conduct keyword co-occurrence and thematic network analyses. Results: Qualcomm-related healthcare research increased substantially after approximately 2014, accompanied by diversification in disease domains, diagnostic and therapeutic approaches, ethical considerations, patient-centered topics, and technological themes. Early-stage research primarily focused on health promotion and preventive care, whereas later-stage studies expanded toward diverse disease areas including HIV, diabetes, and cognitive dysfunction. Simultaneously, advanced technologies such as artificial intelligence, mobile health, telemedicine, large language models, biosignals, and wearable sensors increasingly emerged. Keywords including mobile health, research ethics, privacy, and informed consent exhibited high frequency and strong network connectivity. Conclusions: The findings suggest that Qualcomm’s healthcare-related research evolved through four representative stages: health support, medical intervention, technological integration, and social application. These results indicate that semiconductor- and communication-based technologies may play an important role in shaping the evolution of healthcare innovation and may contribute to the development of integrated, data-driven, and digitally enabled healthcare ecosystems.

Keywords: Digital Health; Healthcare Management; Health Innovation; Technology Adoption; Cross-sectoral Collaboration; Bibliometric Analysis (search for similar items in EconPapers)
JEL-codes: I15 O30 O33 (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:aip:access:v:7:y:2026:i:2:p:331-354

DOI: 10.46656/access.2026.7.2(5)

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