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Düzeltme: The Role of Artificial Intelligence in Home Care Services: A Bibliometric Analysis

Yıl 2025, Cilt: 4 Sayı: 4, 387 - 404, 30.11.2025
Bu makalenin ilk hali 31 Temmuz 2025 tarihinde yayımlandı. https://dergipark.org.tr/tr/pub/ebshealth/issue/93903/1674263

Düzeltme Notu

The article was determined to be lacking content due to a mistake in the layout process, and the decision was made to republish the article. The article was initially published in Volume 4, Issue 2 (2025). The DOI for the previous version of the publication can be found at https://doi.org/10.59312/ebshealth.1674263.

Öz

Aim: This study aims to examine the role of artificial intelligence technologies in home care services and the development of academic literature in this field through a bibliometric analysis method.

Methods: The data of the study were selected from the Web of Science (WoS) database on 1 April 2025 among the publications between January 2014 and March 2025. Within the scope of bibliometric analysis, 735 publications were identified as a result of searches with the keywords ‘home care’ and ‘artificial intelligence’. These publications were evaluated using performance analysis and scientific mapping techniques through VOSviewer software.

Results: Research results show that there has been a major increase in the focus on AI-based solutions, especially in the post-COVID-19 period. As a result, the integration of AI and ML in home care services; concepts such as ‘artificial intelligence’, ‘machine learning’ and ‘telemedicine’ according to keyword studies are not only the subject of study, but also key elements in the digital transformation of home care services.

Conclusion: This study makes an important contribution to understanding the transformative potential of AI in home care services and the future directions of research in this field. It is recommended that future research should address the literature more comprehensively by combining different databases and integrating methods such as meta-analysis.

Kaynakça

  • Akalın, B., & Veranyurt, Ü. (2020). Sağlikta dijitalleşme ve yapay zekâ. SDÜ Sağlık Yönetimi Dergisi, 2(2), 128-137. 2. https:// https://dergipark.org.tr/en/download/article-file/1452754
  • Alhajj, M. N., Halboub, E., Al-Maweri, S. A., Alkheraif, A. A., Smran, A., Alqerban, A., & Samran, A. (2022). Bibliometric analysis and evaluation of the Journal of Prosthodontic Research from 2009 to 2021. Journal of Prosthodontic Research, 66(4), 525-529. https://doi.org/10.2186/jpr.JPR_D_21_00311
  • Alhashmi, S. M., Hashem, I. A. T., & Al-Qudah, I. (2024). Artificial intelligence applications in healthcare: a bibliometric and topic model-based analysis. Intelligent Systems with Applications, 21, 200299. https://doi.org/10.1016/j.iswa.2023.200299
  • Anghel, I., Cioara, T., Bevilacqua, R., Barbarossa, F., Grimstad, T., Hellman, R., ... & Gabrielsen, C. (2025). New care pathways for supporting transitional care from hospitals to home using AI and personalized digital assistance. Scientific Reports, 15(1), 1-12. https://doi.org/10.1038/s41598-025-03332-w
  • Barr, J. R., D’Auria, D., & Persia, F. (2020, September). Telemedicine, Homecare in the Era of COVID-19 & beyond. In 2020 Third International Conference on Artificial Intelligence for Industries (AI4I) (pp. 48-51). IEEE. https://doi.org/10.1109/AI4I49448.2020.00017
  • Chien, S. C., Yen, C. M., Chang, Y. H., Chen, Y. E., Liu, C. C., Hsiao, Y. P., ... & Chung, R. H. (2025). Use of artificial intelligence, internet of things, and edge intelligence in long-term care for older people: Comprehensive analysis through bibliometric, Google trends, and content analysis. Journal of Medical Internet Research, 27, e56692. https://doi.org/10.2196/56692
  • Dave, N. (2020, November). Innovation in elderly care.
  • Fosso Wamba, S., & Queiroz, M. M. (2023). Responsible artificial intelligence as a secret ingredient for digital health: Bibliometric analysis, insights, and research directions. Information Systems Frontiers, 25(6), 2123-2138. https://doi.org/10.1007/s10796-021-10142-8
  • Gaviria-Marin, M., Merigó, J. M., & Baier-Fuentes, H. (2019). Knowledge management: A global examination based on bibliometric analysis. Technological Forecasting and Social Change, 140, 194-220. https://doi.org/10.1016/j.techfore.2018.07.006
  • Golder, S., & McCambridge, J. (2021). Alcohol, cardiovascular disease and industry funding: a co-authorship network analysis of systematic reviews. Social science & medicine, 289, 114450. https://doi.org/10.1016/j.socscimed.2021.114450
  • Gu, D., Andreev, K., & Dupre, M. E. (2021). Major trends in population growth around the world. China CDC weekly, 3(28), 604. https://doi.org/10.46234/ccdcw2021.160
  • Hamelink, C. J., & Keizer, B. (2025). Elderly People and the Right to Health. In Global Health and Human Rights (pp. 149-159). Routledge.
  • Hou, J., Yang, X., & Chen, C. (2018). Emerging trends and new developments in information science: A document co-citation analysis (2009–2016). Scientometrics, 115, 869-892. https://doi.org/10.1007/s11192-018-2695-9
  • Imtiaz, R., & Khan, A. (2024). Perceptions of Humanoid Robots in Caregiving: A Study of Skilled Nursing Home and Long Term Care Administrators. arXiv preprint arXiv:2401.02105. https://doi.org/10.48550/arXiv.2401.02105
  • Islam, M. M., Poly, T. N., Alsinglawi, B., Lin, L. F., Chien, S. C., Liu, J. C., & Jian, W. S. (2021, April). Application of artificial intelligence in COVID-19 pandemic: bibliometric analysis. In Healthcare (Vol. 9, No. 4, p. 441). MDPI. https://doi.org/10.3390/healthcare9040441
  • Jimma, B. L. (2023). Artificial intelligence in healthcare: A bibliometric analysis. Telematics and Informatics Reports, 9, 100041. https://doi.org/10.1016/j.teler.2023.100041
  • Kreps, G. L., & Neuhauser, L. (2013). Artificial intelligence and immediacy: designing health communication to personally engage consumers and providers. Patient education and counseling, 92(2), 205-210. https://doi.org/10.1016/j.pec.2013.04.014
  • Liu, C., & Prajapati, S. (2022, August). Insight from keywords co-occurrence in SEG annual meetings: A bibliometric study. In Second International Meeting for Applied Geoscience & Energy (pp. 1810-1814). Society of Exploration Geophysicists and American Association of Petroleum Geologists. https://doi.org/10.1190/image2022-3726975.1
  • Muhuri, P. K., Shukla, A. K., Janmaijaya, M., & Basu, A. (2018). Applied soft computing: A bibliometric analysis of the publications and citations during (2004–2016). Applied Soft Computing, 69, 381-392. https://doi.org/10.1016/j.asoc.2018.03.041
  • Muramatsu, N., Žefran, M., Stiehl, E., & Cornwell, T. (2024). AI-based technology in home-based care in aging societies: challenges and opportunities. Handbook of Artificial Intelligence at Work, 166-190. https://doi.org/10.4337/9781800889972.00017
  • Nguyen, H. S., & Voznak, M. (2024). A bibliometric analysis of technology in digital health: Exploring health metaverse and visualizing emerging healthcare management trends. IEEE Access, 12, 23887-23913. https://doi.org/10.1109/ACCESS.2024.3363165
  • Nti, I. K., Adekoya, A. F., Weyori, B. A., & Keyeremeh, F. (2023). A bibliometric analysis of technology in sustainable healthcare: Emerging trends and future directions. Decision Analytics Journal, 8, 100292. https://doi.org/10.1016/j.dajour.2023.100292
  • Tang, X., Chen, X., Wu, B., Ma, C., Ge, S., Sun, H., & Zhou, L. (2021). Where are we and what shall we do next? A qualitative study of the quality of home care in Shanghai, China. Journal of Transcultural Nursing, 32(3), 276-285. https://doi.org/10.1177/1043659620911965
  • Telarico, F. A., Mali, F., & Žiberna, A. (2024). Revealing dynamic co-authorship structure in the social sciences through blockmodeling: the Slovenian case (1991–2020). Scientometrics, 129(9), 5635-5672. https://doi.org/10.1007/s11192-024-05130-z
  • Türkiye İstatistik Kurumu (TÜİK). (2024a). İstatistiklerle yaşlılar 2024. Erişim adresi: https://data.tuik.gov.tr/Bulten/Index?p=Istatistiklerle-Yaslilar-2024-54079, ( Erişim: 04.04.2025).
  • Türkiye İstatistik Kurumu (TÜİK). (2024b). Hizmetlere Erişim ve Ayrımcılık, 2024. Erişim adresi: https://data.tuik.gov.tr/Bulten/Index?p=Hizmetlere-Erisim-ve-Ayrimcilik-2024-57935, (05.04.2025).
  • Van Eenoo, L., van der Roest, H., Onder, G., Finne-Soveri, H., Garms-Homolova, V., Jonsson, P. V., ... & Declercq, A. (2018). Organizational home care models across Europe: A cross sectional study. International journal of nursing studies, 77, 39-45. https://doi.org/10.1016/j.ijnurstu.2017.09.013Get rights and content
  • Vishwakarma, L. P., Singh, R. K., Mishra, R., & Kumari, A. (2025). Application of artificial intelligence for resilient and sustainable healthcare system: Systematic literature review and future research directions. International Journal of Production Research, 63(2), 822-844. https://doi.org/10.1080/00207543.2023.2188101
  • Wiig, S., Ree, E., Johannessen, T., Strømme, T., Storm, M., Aase, I., ... & Aase, K. (2018). Improving quality and safety in nursing homes and home care: the study protocol of a mixed-methods research design to implement a leadership intervention. BMJ open, 8(3), e020933. https://doi.org/10.1136/bmjopen-2017-020933
  • World Health Organization (WHO) 2024. URL: https://www.who.int/news-room/fact-sheets/detail/ageing-andhealth. Accessed: (04.04.2025).
  • Xia, Q., Huang, Q., Li, J., Xu, Y., Ge, S., Zhang, X., ... & Xia, Y. (2025). Evaluating the quality of home care in community health service centres: a machine learning approach. Journal of Advanced Nursing, 81(2), 762-776. https://doi.org/10.1111/jan.16234
  • Zheng, Q. L., Kong, L. N., Hu, P., & Liu, D. X. (2024). Identifying quality indicators for home care services: a modified Delphi and Analytic Hierarchy Process study. BMC nursing, 23(1), 494. https://doi.org/10.1186/s12912-024-02169-4
  • Zhu, Y., Yang, Q., & Mao, X. (2023). Global trends in the study of smart healthcare systems for the elderly: Artificial intelligence solutions. International Journal of Computational Intelligence Systems, 16(1), 105. https://doi.org/10.1007/s44196-023-00283-w

Düzeltme: Evde Bakım Hizmetlerinde Yapay Zekanın Rolü: Bibliyometrik Bir Analiz

Yıl 2025, Cilt: 4 Sayı: 4, 387 - 404, 30.11.2025
Bu makalenin ilk hali 31 Temmuz 2025 tarihinde yayımlandı. https://dergipark.org.tr/tr/pub/ebshealth/issue/93903/1674263

Düzeltme Notu

Makalede mizanpaj sürecinde meydana gelen hatadan dolayı içerikte eksik öğeler tespit edildiğinden düzeltme versiyonu oluşturularak yeniden basılmasına karar verilmiştir. Makalenin ilk versiyonu Cilt 4, Sayı 2'de (2025) basılmıştır. Makalenin önceki versiyonuna ait DOI numarası: https://doi.org/10.59312/ebshealth.1674263

Öz

Amaç: Bu çalışma, yapay zekâ teknolojilerinin evde bakım hizmetlerindeki rolünü ve bu alandaki akademik literatürün gelişimini bibliyometrik bir analiz yöntemiyle incelenmesi amacıyla yapılmıştır.

Yöntem: Araştırmanın verileri, 1 Nisan 2025 tarihinde Web of Science (WoS) veri tabanından Ocak 2014 – Mart 2025 yılları arasındaki yayınlar arasından seçilmiştir. Bibliyometrik analiz kapsamında, "home care" ve "artificial intelligence" anahtar sözcükleriyle yapılan aramalar sonucunda 735 yayın tespit edilmiştir. Bu yayınlar, VOSviewer yazılımı aracılığıyla performans analizi ve bilimsel haritalama teknikleri kullanılarak değerlendirilmiştir.

Bulgular: Araştırma sonuçları, özellikle COVID-19 sonrası dönemde YZ tabanlı çözümlere odaklanmada büyük bir artış olduğunu göstermektedir. Bu eğilim, yayın sayısında ve işbirlikçi yapıların büyümesinde görülmektedir.Sonuç olarak, YZ’nın ve ML'nin evde bakım hizmetlerinde entegrasyonu; anahtar kelime çalışmalarına göre “yapay zeka”, “makine öğrenimi” ve “teletıp” gibi kavramlar yalnızca çalışma konusu olmakla kalmayıp, aynı zamanda evde bakım hizmetlerinin dijital dönüşümünde de temel unsurlardır.

Sonuç: Bu çalışma, yapay zekânın evde bakım hizmetlerindeki dönüştürücü potansiyelini ve bu alandaki araştırmaların gelecekteki yönelimlerini anlamaya yönelik önemli bir katkı sunmaktadır. Gelecekteki araştırmaların farklı veritabanlarını birleştirerek ve meta-analiz gibi yöntemleri entegre ederek literatürü daha kapsamlı bir şekilde ele alması önerilir.

Kaynakça

  • Akalın, B., & Veranyurt, Ü. (2020). Sağlikta dijitalleşme ve yapay zekâ. SDÜ Sağlık Yönetimi Dergisi, 2(2), 128-137. 2. https:// https://dergipark.org.tr/en/download/article-file/1452754
  • Alhajj, M. N., Halboub, E., Al-Maweri, S. A., Alkheraif, A. A., Smran, A., Alqerban, A., & Samran, A. (2022). Bibliometric analysis and evaluation of the Journal of Prosthodontic Research from 2009 to 2021. Journal of Prosthodontic Research, 66(4), 525-529. https://doi.org/10.2186/jpr.JPR_D_21_00311
  • Alhashmi, S. M., Hashem, I. A. T., & Al-Qudah, I. (2024). Artificial intelligence applications in healthcare: a bibliometric and topic model-based analysis. Intelligent Systems with Applications, 21, 200299. https://doi.org/10.1016/j.iswa.2023.200299
  • Anghel, I., Cioara, T., Bevilacqua, R., Barbarossa, F., Grimstad, T., Hellman, R., ... & Gabrielsen, C. (2025). New care pathways for supporting transitional care from hospitals to home using AI and personalized digital assistance. Scientific Reports, 15(1), 1-12. https://doi.org/10.1038/s41598-025-03332-w
  • Barr, J. R., D’Auria, D., & Persia, F. (2020, September). Telemedicine, Homecare in the Era of COVID-19 & beyond. In 2020 Third International Conference on Artificial Intelligence for Industries (AI4I) (pp. 48-51). IEEE. https://doi.org/10.1109/AI4I49448.2020.00017
  • Chien, S. C., Yen, C. M., Chang, Y. H., Chen, Y. E., Liu, C. C., Hsiao, Y. P., ... & Chung, R. H. (2025). Use of artificial intelligence, internet of things, and edge intelligence in long-term care for older people: Comprehensive analysis through bibliometric, Google trends, and content analysis. Journal of Medical Internet Research, 27, e56692. https://doi.org/10.2196/56692
  • Dave, N. (2020, November). Innovation in elderly care.
  • Fosso Wamba, S., & Queiroz, M. M. (2023). Responsible artificial intelligence as a secret ingredient for digital health: Bibliometric analysis, insights, and research directions. Information Systems Frontiers, 25(6), 2123-2138. https://doi.org/10.1007/s10796-021-10142-8
  • Gaviria-Marin, M., Merigó, J. M., & Baier-Fuentes, H. (2019). Knowledge management: A global examination based on bibliometric analysis. Technological Forecasting and Social Change, 140, 194-220. https://doi.org/10.1016/j.techfore.2018.07.006
  • Golder, S., & McCambridge, J. (2021). Alcohol, cardiovascular disease and industry funding: a co-authorship network analysis of systematic reviews. Social science & medicine, 289, 114450. https://doi.org/10.1016/j.socscimed.2021.114450
  • Gu, D., Andreev, K., & Dupre, M. E. (2021). Major trends in population growth around the world. China CDC weekly, 3(28), 604. https://doi.org/10.46234/ccdcw2021.160
  • Hamelink, C. J., & Keizer, B. (2025). Elderly People and the Right to Health. In Global Health and Human Rights (pp. 149-159). Routledge.
  • Hou, J., Yang, X., & Chen, C. (2018). Emerging trends and new developments in information science: A document co-citation analysis (2009–2016). Scientometrics, 115, 869-892. https://doi.org/10.1007/s11192-018-2695-9
  • Imtiaz, R., & Khan, A. (2024). Perceptions of Humanoid Robots in Caregiving: A Study of Skilled Nursing Home and Long Term Care Administrators. arXiv preprint arXiv:2401.02105. https://doi.org/10.48550/arXiv.2401.02105
  • Islam, M. M., Poly, T. N., Alsinglawi, B., Lin, L. F., Chien, S. C., Liu, J. C., & Jian, W. S. (2021, April). Application of artificial intelligence in COVID-19 pandemic: bibliometric analysis. In Healthcare (Vol. 9, No. 4, p. 441). MDPI. https://doi.org/10.3390/healthcare9040441
  • Jimma, B. L. (2023). Artificial intelligence in healthcare: A bibliometric analysis. Telematics and Informatics Reports, 9, 100041. https://doi.org/10.1016/j.teler.2023.100041
  • Kreps, G. L., & Neuhauser, L. (2013). Artificial intelligence and immediacy: designing health communication to personally engage consumers and providers. Patient education and counseling, 92(2), 205-210. https://doi.org/10.1016/j.pec.2013.04.014
  • Liu, C., & Prajapati, S. (2022, August). Insight from keywords co-occurrence in SEG annual meetings: A bibliometric study. In Second International Meeting for Applied Geoscience & Energy (pp. 1810-1814). Society of Exploration Geophysicists and American Association of Petroleum Geologists. https://doi.org/10.1190/image2022-3726975.1
  • Muhuri, P. K., Shukla, A. K., Janmaijaya, M., & Basu, A. (2018). Applied soft computing: A bibliometric analysis of the publications and citations during (2004–2016). Applied Soft Computing, 69, 381-392. https://doi.org/10.1016/j.asoc.2018.03.041
  • Muramatsu, N., Žefran, M., Stiehl, E., & Cornwell, T. (2024). AI-based technology in home-based care in aging societies: challenges and opportunities. Handbook of Artificial Intelligence at Work, 166-190. https://doi.org/10.4337/9781800889972.00017
  • Nguyen, H. S., & Voznak, M. (2024). A bibliometric analysis of technology in digital health: Exploring health metaverse and visualizing emerging healthcare management trends. IEEE Access, 12, 23887-23913. https://doi.org/10.1109/ACCESS.2024.3363165
  • Nti, I. K., Adekoya, A. F., Weyori, B. A., & Keyeremeh, F. (2023). A bibliometric analysis of technology in sustainable healthcare: Emerging trends and future directions. Decision Analytics Journal, 8, 100292. https://doi.org/10.1016/j.dajour.2023.100292
  • Tang, X., Chen, X., Wu, B., Ma, C., Ge, S., Sun, H., & Zhou, L. (2021). Where are we and what shall we do next? A qualitative study of the quality of home care in Shanghai, China. Journal of Transcultural Nursing, 32(3), 276-285. https://doi.org/10.1177/1043659620911965
  • Telarico, F. A., Mali, F., & Žiberna, A. (2024). Revealing dynamic co-authorship structure in the social sciences through blockmodeling: the Slovenian case (1991–2020). Scientometrics, 129(9), 5635-5672. https://doi.org/10.1007/s11192-024-05130-z
  • Türkiye İstatistik Kurumu (TÜİK). (2024a). İstatistiklerle yaşlılar 2024. Erişim adresi: https://data.tuik.gov.tr/Bulten/Index?p=Istatistiklerle-Yaslilar-2024-54079, ( Erişim: 04.04.2025).
  • Türkiye İstatistik Kurumu (TÜİK). (2024b). Hizmetlere Erişim ve Ayrımcılık, 2024. Erişim adresi: https://data.tuik.gov.tr/Bulten/Index?p=Hizmetlere-Erisim-ve-Ayrimcilik-2024-57935, (05.04.2025).
  • Van Eenoo, L., van der Roest, H., Onder, G., Finne-Soveri, H., Garms-Homolova, V., Jonsson, P. V., ... & Declercq, A. (2018). Organizational home care models across Europe: A cross sectional study. International journal of nursing studies, 77, 39-45. https://doi.org/10.1016/j.ijnurstu.2017.09.013Get rights and content
  • Vishwakarma, L. P., Singh, R. K., Mishra, R., & Kumari, A. (2025). Application of artificial intelligence for resilient and sustainable healthcare system: Systematic literature review and future research directions. International Journal of Production Research, 63(2), 822-844. https://doi.org/10.1080/00207543.2023.2188101
  • Wiig, S., Ree, E., Johannessen, T., Strømme, T., Storm, M., Aase, I., ... & Aase, K. (2018). Improving quality and safety in nursing homes and home care: the study protocol of a mixed-methods research design to implement a leadership intervention. BMJ open, 8(3), e020933. https://doi.org/10.1136/bmjopen-2017-020933
  • World Health Organization (WHO) 2024. URL: https://www.who.int/news-room/fact-sheets/detail/ageing-andhealth. Accessed: (04.04.2025).
  • Xia, Q., Huang, Q., Li, J., Xu, Y., Ge, S., Zhang, X., ... & Xia, Y. (2025). Evaluating the quality of home care in community health service centres: a machine learning approach. Journal of Advanced Nursing, 81(2), 762-776. https://doi.org/10.1111/jan.16234
  • Zheng, Q. L., Kong, L. N., Hu, P., & Liu, D. X. (2024). Identifying quality indicators for home care services: a modified Delphi and Analytic Hierarchy Process study. BMC nursing, 23(1), 494. https://doi.org/10.1186/s12912-024-02169-4
  • Zhu, Y., Yang, Q., & Mao, X. (2023). Global trends in the study of smart healthcare systems for the elderly: Artificial intelligence solutions. International Journal of Computational Intelligence Systems, 16(1), 105. https://doi.org/10.1007/s44196-023-00283-w
Toplam 33 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Evde Bakım Hizmetleri
Bölüm Düzeltme
Yazarlar

Hakan Işık 0000-0002-9907-9315

Selda Palabıyık 0000-0001-6457-5733

Yayımlanma Tarihi 30 Kasım 2025
Gönderilme Tarihi 11 Nisan 2025
Kabul Tarihi 16 Haziran 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 4 Sayı: 4

Kaynak Göster

APA Işık, H., & Palabıyık, S. (2025). Evde Bakım Hizmetlerinde Yapay Zekanın Rolü: Bibliyometrik Bir Analiz. Doğu Karadeniz Sağlık Bilimleri Dergisi, 4(4), 387-404.

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