Bibliometric Analysis of IoT-Based Technologies for Health Monitoring: Trends, Impact, and Key Findings (2014-2024)

Authors

DOI:

https://doi.org/10.56294/saludcyt20251060

Keywords:

telemedicine, patient safety, delivery of health care, data management, chronic disease indicator

Abstract

Introduction:
The integration of IoT technologies into health monitoring has revolutionized healthcare delivery, enabling real-time data collection, remote patient monitoring, and improved management of chronic diseases. 
Objective:
This study conducts a comprehensive bibliometric analysis of IoT-based health monitoring research, aiming to identify influential contributors and emerging research themes.
Methods:
The analysis was based on data retrieved from the Scopus database using a search query designed to capture studies focused on IoT in health monitoring. Only peer-reviewed journal articles published between 2014 and 2024 in English or Spanish were included. The study adhered to PRISMA guidelines for literature selection and employed the biblioshiny package in R for data processing and visualization.
Results:
The analysis revealed an increase in research activity, particularly after 2017, with notable peaks in publication volume during the COVID-19 pandemic. Journals such as Sensors and IEEE Access were identified as key publication outlets, while authors like Pasi Liljeberg and Amir M. Rahmani were the most influential contributors. Geographically, the United States, China, and India dominated scientific output. Thematic analysis indicated an evolution from early studies focused on IoT architecture to recent concerns over data privacy, cybersecurity, and interoperability.
Conclusions:
The growing body of research on IoT-based health monitoring highlights its transformative potential for healthcare, especially in managing chronic conditions and remote care. However, challenges such as data security and device interoperability must be addressed. Future research should focus on developing standardized protocols and ensuring the ethical use of IoT in healthcare to enhance its adoption and effectiveness

References

1. Alsayaydeh JAJ, Yusof MFB, Halim MZBA, Zainudin MNS, Herawan SG. Patient Health Monitoring System Development using ESP8266 and Arduino with IoT Platform. Int J Adv Comput Sci Appl. 2023;14(4). Disponible en: http://thesai.org/Publications/ViewPaper?Volume=14&Issue=4&Code=IJACSA&SerialNo=67 DOI: 10.14569/IJACSA.2023.0140467

2. Cazañas-Gordón A, Parra-Mora E. The Internet of Things in Healthcare. An Overview. Zenodo. 2020;7(1). Disponible en: https://zenodo.org/record/5730386 DOI: 10.5281/ZENODO.5730386

3. Usman SFU, Hindarto D, Desanti RI. Designing Integrated IT Architecture for Health Monitoring Internet of Things: Findings Exploratory Study. Sinkron. 2024;8(2):1080–90. Disponible en: https://jurnal.polgan.ac.id/index.php/sinkron/article/view/13592 DOI: 10.33395/sinkron.v8i2.13592

4. Khan DrMM. IoT Based Smart Healthcare Services for Rural Unprivileged People in Bangladesh: Current Situation and Challenges. En: Proceedings of 1st International Electronic Conference on Applied Sciences. Sciforum.net: MDPI; 2020. p. 7535. Disponible en: http://sciforum.net/conference/ASEC2020/paper/7535 DOI: 10.3390/ASEC2020-07535

5. Sivaraman H. IoT-Enabled Healthcare Monitoring: A Systematic Review of Wearable Devices. Inf Technol Ind. 2019;7(3):78–86. Disponible en: http://it-in-industry.org/index.php/itii/article/view/815 DOI: 10.17762/itii.v7i3.815

6. Talaat FM, El-Balka RM. Stress monitoring using wearable sensors: IoT techniques in medical field. Neural Comput Appl. 2023;35(25):18571–84. Disponible en: https://www.researchgate.net/publication/371248558_Stress_monitoring_using_wearable_sensors_IoT_techniques_in_medical_field DOI: 10.1007/s00521-023-08681-z

7. Akhbarifar S, Javadi HHS, Rahmani AM, Hosseinzadeh M. A secure remote health monitoring model for early disease diagnosis in cloud-based IoT environment. Pers Ubiquitous Comput. 2023;27(3):697–713. Disponible en: https://www.researchgate.net/publication/346532354_A_secure_remote_health_monitoring_model_for_early_disease_diagnosis_in_cloud-based_IoT_environment DOI: 10.1007/s00779-020-01475-3

8. Hamid DE, Amer HM, Salah Moustafa HED, Marie HS. Empowering health data protection: machine learning-enabled diabetes classification in a secure cloud-based IoT framework. Indones J Electr Eng Comput Sci. 2024;34(2):1110. Disponible en: https://www.researchgate.net/publication/380252672_Empowering_health_data_protection_machine_learning-enabled_diabetes_classification_in_a_secure_cloud-based_IoT_framework DOI: 10.11591/ijeecs.v34.i2.pp1110-1121

9. Xu G. IoT-Assisted ECG Monitoring Framework With Secure Data Transmission for Health Care Applications. IEEE Access. 2020;8:74586–94. Disponible en: https://www.researchgate.net/publication/340673457_IoT-Assisted_ECG_Monitoring_Framework_With_Secure_Data_Transmission_for_Health_Care_Applications DOI: 10.1109/ACCESS.2020.2988059

10. Irwansyah MA, Winardi B, Mardikawati B, Anurogo D. Analysis of Research Development on the Use of Internet of Things (IoT) Technology in Health Monitoring. West Sci Interdiscip Stud. 2023;1(11):1146–56. Disponible en: https://wsj.westscience-press.com/index.php/wsis/article/view/339 DOI: 10.58812/wsis.v1i11.339

11. Qadri YA, Zulqarnain, Nauman A, Musaddiq A, Garcia-Villegas E, Kim SW. Preparing Wi-Fi 7 for Healthcare Internet-of-Things. Sensors. 2022;22(16):6209. Disponible en: https://pubmed.ncbi.nlm.nih.gov/36015968/ DOI: 10.3390/s22166209

12. Uslu BÇ, Okay E, Dursun E. Analysis of factors affecting IoT-based smart hospital design. Journal of Cloud Comput. 2020;9(1):67. Disponible en: https://pubmed.ncbi.nlm.nih.gov/33532168/ DOI: 10.1186/s13677-020-00215-5

13. Vijayalakshmi A, Abishek BE, Stephen CA. IoT based Sensor Fusion Algorithm for Online Smart Health Monitoring. International Journal of Recent Technology and Engineering (IJRTE). 2019;8(2):6040–6. Disponible en: https://www.researchgate.net/publication/364118292_IoT_based_Sensor_Fusion_Algorithm_for_Online_Smart_Health_Monitoring DOI: 10.35940/ijrte.B3738.078219

14. Baca Gómez Y, Estrada Esquivel H, Martínez Rebollar A, Villanueva Vásquez D. A Novel Air Quality Monitoring Unit Using Cloudino and FIWARE Technologies. Math Comput Appl. 2019;24(1):15. Disponible en: https://www.researchgate.net/publication/330598753_A_Novel_Air_Quality_Monitoring_Unit_Using_Cloudino_and_FIWARE_Technologies DOI: 10.3390/mca24010015

15. Hussain F. The Application of the Internet of Things in Healthcare. International Journal of Computer Applications. 2018;180(18):19–23. Disponible en: https://www.researchgate.net/publication/323222865_The_Application_of_the_Internet_of_Things_in_Healthcare DOI: 10.5120/ijca2018916454

16. Oikonomou FP, Ribeiro J, Mantas G, Bastos JMCS, Rodriguez J. A Hyperledger Fabric-based Blockchain Architecture to Secure IoT-based Health Monitoring Systems. 2021 IEEE International Mediterranean Conference on Communications and Networking (MeditCom). Athens, Greece: IEEE; 2021. p. 186–90. Disponible en: https://ieeexplore.ieee.org/document/9647521/ DOI: 10.1109/MeditCom49071.2021.9647521

17. Sheikh PP, Riyad T, Tushar BD, Alam SS, Ruddra IM, Shufian A. Analysis of Patient Health Using Arduino and Monitoring System. Journal of Engineering Research and Reports. 2024;26(3):25–33. Disponible en: https://www.researchgate.net/publication/378402358_Analysis_of_Patient_Health_Using_Arduino_and_Monitoring_System DOI: 10.9734/jerr/2024/v26i31090

18. Islam MdM, Rahaman A, Islam MdR. Development of Smart Healthcare Monitoring System in IoT Environment. SN Computer Science. 2020;1(3):185. Disponible en: https://pubmed.ncbi.nlm.nih.gov/33063046/ DOI: 10.1007/s42979-020-00195-y

19. Zakerabasali S, Ayyoubzadeh SM. Internet of Things and healthcare system: A systematic review of ethical issues. Health Science Reports. 2022;5(6). Disponible en: https://pubmed.ncbi.nlm.nih.gov/36210869/ DOI: 10.1002/hsr2.863

20. Deng H, Chen J. A Survey of Structural Health Monitoring Advances Based on Internet of Things (IoT) Sensors. nternational Journal of Advanced Computer Science and Applications. 2023;14(10). Disponible en: http://thesai.org/Publications/ViewPaper?Volume=14&Issue=10&Code=IJACSA&SerialNo=25 DOI: 10.14569/IJACSA.2023.0141025

21. Ramesh Babu S, Saravanan BK, Arunkumar P. IoT Based Health Monitoring System for Physiological Investigation. International Journal of Engineering Technology and Management Sciences. 2023;7(5):510–5. Disponible en: https://www.researchgate.net/publication/375010307_IoT_Based_Health_Monitoring_System_for_Physiological_Investigation DOI: 10.46647/ijetms.2023.v07i05.064

22. Gautam A, Mahajan R, Zafar S. Revolutionary IoT and Big Data in Healthcare: A Predictive Model Analysis. Proceedings of the 2nd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2020. New Delhi, India: EAI; 2021. Disponible en: http://eudl.eu/doi/10.4108/eai.27-2-2020.2303135 DOI: 10.4108/eai.27-2-2020.2303135

23. Mihat A, Mohd Saad N, Shair EF, Aslam ABN, Abdul Rahim R. SMART HEALTH MONITORING SYSTEM UTILIZING INTERNET OF THINGS (IoT) AND ARDUINO. Asian Journal Of Medical Technology. 2022;2(1):35–48. Disponible en: https://www.researchgate.net/publication/367802921_SMART_HEALTH_MONITORING_SYSTEM_UTILIZING_INTERNET_OF_THINGS_IoT_AND_ARDUINO DOI: 10.32896/ajmedtech.v2n1.35-48

24. Mittelstadt B. Designing the Health-related Internet of Things: Ethical Principles and Guidelines. Information. 2017;8(3):77. Disponible en: https://www.mdpi.com/2078-2489/8/3/77 DOI: 10.3390/info8030077

25. Yilmaz AA, Tuzlukaya SE. The relation between intellectual capital and digital transformation: a bibliometric analysis. International Journal of Innovation Science. Disponible en: https://www.emerald.com/insight/content/doi/10.1108/IJIS-08-2022-0145/full/html Disponible en: DOI: 10.1108/IJIS-08-2022-0145

26. Atsız O, Öğretmenoğlu M, Akova O. A bibliometric analysis of length of stay studies in tourism. European Journal of Tourism Research. 2022;31:3101. Disponible en: https://www.researchgate.net/publication/358468897_A_bibliometric_analysis_of_length_of_stay_studies_in_tourism DOI: 10.54055/ejtr.v31i.2305

27. Cobelli N, Blasioli E. To be or not to be digital? A bibliometric analysis of adoption of eHealth services. The TQM Journal. 2023;35(9):299–331. Disponible en: https://www.researchgate.net/publication/372498400_To_be_or_not_to_be_digital_A_bibliometric_analysis_of_adoption_of_eHealth_services DOI: 10.1108/TQM-02-2023-0065

28. Naeem MA, Karim S, Rabbani MR, Bashar A, Kumar S. Current state and future directions of green and sustainable finance: a bibliometric analysis. Qualitative Research in Financial Markets. 2023;15(4):608–29. Disponible en: https://www.researchgate.net/publication/364305067_Current_state_and_future_directions_of_green_and_sustainable_finance_a_bibliometric_analysis DOI: 10.1108/QRFM-10-2021-0174

29. Cheng K, Guo Q, Shen Z, Yang W, Wang Y, Sun Z, et al. Bibliometric Analysis of Global Research on Cancer Photodynamic Therapy: Focus on Nano-Related Research. Frontiers in Pharmacology. 2022;13:927219. Disponible en: https://pubmed.ncbi.nlm.nih.gov/35784740/ DOI: 10.3389/fphar.2022.927219

30. Ratten V, Fakhar Manesh M, Pellegrini MM, Dabic M. The Journal of Family Business Management: a bibliometric analysis. Journal of Family Business Management. 2021;11(2):137–60. Disponible en: https://www.researchgate.net/publication/340946541_The_Journal_of_Family_Business_Management_a_bibliometric_analysis DOI: 10.1108/JFBM-02-2020-0013

31. Yeni̇Su E, Türkoğlu D, Yeni̇Ce S. INVESTIGATION OF STUDIES ON CORPORATE GOVERNANCE RELATED TURKEY WITH BIBLIOMETRIC METHOD AND SYSTEMATIC ANALYSIS: A LITERATURE REVIEW. Giresun Üniversitesi İktisadi ve İdari Bilimler Dergisi. 2023;9(2):125–45. Disponible en: https://www.researchgate.net/publication/377085807_Investigation_of_Studies_on_Corporate_Governance_Related_Turkey_with_Bibliometric_Method_and_Systematic_Analysis_A_Literature_Review DOI: 10.46849/guiibd.1387382

32. Dadkhah M, Mehraeen M, Rahimnia F, Kimiafar K. Use of Internet of Things for Chronic Disease Management: An Overview. Journal of Science and Technology Policy Management. 2021;11(2):138–57. Disponible en: https://www.researchgate.net/publication/358244695_Exploring_the_experts'_perceptions_of_barriers_to_using_internet_of_things_for_chronic_disease_management_in_Iran DOI: 10.1108/JSTPM-07-2021-0104

33. Tai Y, Rajawat AS, Goyal SB, Bedi P, Amannah C. Internet of things‐enabled intelligent systems for remote chronic disease monitoring. Transactions on Emerging Telecommunications Technologies. 2024;35(4). Disponible en: https://www.researchgate.net/publication/376834240_Internet_of_things-enabled_intelligent_systems_for_remote_chronic_disease_monitoring DOI: 10.1002/ett.4919

34. Peyroteo M, Ferreira IA, Elvas LB, Ferreira JC, Lapão LV. Remote Monitoring Systems for Patients With Chronic Diseases in Primary Health Care: Systematic Review. JMIR MHealth and UHealth. 2021;9(12). Disponible en: https://pubmed.ncbi.nlm.nih.gov/34932000/ DOI: 10.2196/28285

35. Alsuhibany SA, Abdel-Khalek S, Algarni A, Fayomi A, Gupta D, Kumar V, et al. Ensemble of Deep Learning Based Clinical Decision Support System for Chronic Kidney Disease Diagnosis in Medical Internet of Things Environment. Computational Intelligence and Neuroscience. 2021;2021(1):4931450. Disponible en: https://pubmed.ncbi.nlm.nih.gov/34987566/ DOI: 10.1155/2021/4931450

36. Siddiqui S, Khan AA, Dev K, Dey I. Integrating federated learning with IoMT for managing obesity in smart city. En: Intelligent Systems in Digital Transformation. The 27th Annual International Conference on Mobile Computing and Networking. Academic Press; 2023. p. 363–79. Disponible en: https://www.researchgate.net/publication/355563299_Integrating_federated_learning_with_IoMT_for_managing_obesity_in_smart_city DOI: 10.1145/3477084.3484950

37. Graham, C. M., Jones, N. Impact of IoT on geriatric telehealth. Working with Older People, 2020;24(3), 231–243. Disponible en: https://www.researchgate.net/publication/342640200_Impact_of_IoT_in_Geriatric_Telehealth DOI: 10.1108/WWOP-04-2020-0012

38. Bovenizer, W., Chetthamrongchai, P. A comprehensive systematic and bibliometric review of the IoT-based healthcare systems. Cluster Computing. 2023;26(5), 3291–3317. Disponible en: https://pubmed.ncbi.nlm.nih.gov/37359057/ DOI: 10.1007/s10586-023-04047-1

39. Kamangar, Z. U., Memon, R. A., Murtaza Memon, G., Kamangar, U. A. Integration of Internet of Things and blockchain technology in healthcare domain: A systematic literature review. International Journal of Communication Systems. 2023;36(16), e5582. Disponible en: https://www.researchgate.net/publication/372648642_Integration_of_Internet_of_Things_and_blockchain_technology_in_healthcare_domain_A_systematic_literature_review DOI: 10.1002/dac.5582

40. Vichayanan Rattanawiboomsom, Muhammad Saleem Korejo, Javed Ali, Uthen Thatsaringkharnsakun. Blockchain-Enabled Internet of Things (IoT) Applications in Healthcare: A Systematic Review of Current Trends and Future Opportunities. International Journal of Online and Biomedical Engineering (IJOE). 2023;19(10), 99–117. Disponible en: https://www.researchgate.net/publication/372842637_Blockchain-Enabled_Internet_of_Things_IoT_Applications_in_Healthcare_A_Systematic_Review_of_Current_Trends_and_Future_Opportunities DOI: 10.3991/ijoe.v19i10.41399

41. Zou TXP, Law LYN, Chu BCB, Lin V, Ko T, Lai NKY. Developing Academics’ Capacity for Internationalizing the Curriculum: A Collaborative Autoethnography of a Cross-Institutional Project. Journal of Studies in International Education. 2022;26(3):334–51. Disponible en: https://scholars.hkbu.edu.hk/en/publications/developing-academics-capacity-for-internationalizing-the-curricul DOI: 10.1177/1028315320976040

42. Peng, C., Goswami, P. Meaningful Integration of Data from Heterogeneous Health Services and Home Environment Based on Ontology. Sensors, 2019;19(8), 1747. Disponible en: https://pubmed.ncbi.nlm.nih.gov/31013678/ DOI: 10.3390/s19081747

43. Alabdulatif, A., Khalil, I., Yi, X., Guizani, M. Secure Edge of Things for Smart Healthcare Surveillance Framework. IEEE Access. 2019; 7, 31010–31021. Disponible en: https://www.researchgate.net/publication/331391866_Secure_Edge_of_Things_for_Smart_Healthcare_Surveillance_Framework DOI: 10.1109/ACCESS.2019.2899323

Downloads

Published

2025-01-01

Issue

Section

Systematic reviews or meta-analyses

How to Cite

1.
Sornoza-Parrales D, Vera Pisco D, Pincay Pilay MM, Parrales Poveda ML. Bibliometric Analysis of IoT-Based Technologies for Health Monitoring: Trends, Impact, and Key Findings (2014-2024). Salud, Ciencia y Tecnología [Internet]. 2025 Jan. 1 [cited 2024 Nov. 5];5:1060. Available from: https://sct.ageditor.ar/index.php/sct/article/view/1060