The impact of “internet of things”: advancing patient monitoring and health outcomes to enhance healthcare quality: a systematic review

Authors

  • Ritu Kumari Department of Obstetrics and Gynecological Nursing, ANM Training Institute Neemchak, Bathani, Gaya, Bihar, India
  • B. Kalyani Department of Obstetrics and Gynaecological Nursing, Dr. C. Sobhanadri Siddhartha School of Nursing, Vijayawada, Andhra Pradesh, India
  • Pratibha Dabhi School of Medico-Legal Studies, National Forensic Sciences University, Gandhinagar, Gujarat, India
  • Kashish Malhotra Department of Medico Legal Institute, Baba Farid University of Health Sciences, Faridkot, Punjab, India
  • Meenakshi Mundotiya Department of Obstetrics and Gynaecology, Government College of Nursing, Jaipur, Rajasthan, India
  • Rajveer S. Khatodiya Department of Medico Legal Institute, Baba Farid University of Health Sciences, Faridkot, Punjab, India
  • Suhashini Department of Obstetrics and Gynecological Nursing, HKES College of Nursing Kalaburagi, Karnataka India
  • Mohammed Umar Department of Nursing, Uttar Pradesh University of Medical Sciences, Saifai, Etawah, Uttar Pradesh, India

DOI:

https://doi.org/10.18203/2349-3259.ijct20253339

Keywords:

Internet of things, Healthcare quality, Patient monitoring, Health outcomes, Digital health, Systematic review

Abstract

The internet of things (IoT) has emerged as a transformative force in healthcare, reshaping patient monitoring, data collection, and clinical decision-making. As the global healthcare landscape becomes increasingly digitized, understanding the contributions of IoT to quality enhancement is critical. This systematic review explores the current evidence on the impact of IoT on patient monitoring and health outcomes, focusing on its role in improving healthcare quality. A comprehensive search of PubMed, Scopus, IEEE Xplore, and Google Scholar databases was conducted for studies published between January 2015 and May 2025. Keywords included “IoT in healthcare,” “patient monitoring,” “health outcomes,” and “quality improvement.” Studies were included if they focused on IoT applications in healthcare settings with measured outcomes related to patient care or quality. Preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines were followed. A total of 58 studies were included. The majority demonstrated significant improvement in early detection of clinical deterioration, chronic disease management, remote patient monitoring, and reduction in hospital readmissions. IoT was found to enhance real-time decision-making, lower operational costs, and improve patient satisfaction and safety metrics. IoT plays a pivotal role in advancing healthcare delivery by enhancing monitoring capabilities and health outcomes. However, ethical challenges, cybersecurity concerns, and interoperability barriers remain. Strategic investments and regulatory frameworks are essential for sustainable IoT integration.

 

Metrics

Metrics Loading ...

References

Islam SMR, Kwak D, Kabir MH, Hossain M, Kwak KS. The Internet of Things for Health Care: A Comprehensive Survey. IEEE Access. 2015;3:678-708. DOI: https://doi.org/10.1109/ACCESS.2015.2437951

Zanella A, Bui N, Castellani A, Vangelista L, Zorzi M. Internet of Things for Smart Cities. IEEE Internet Things J. 2014;1(1):22-32. DOI: https://doi.org/10.1109/JIOT.2014.2306328

Ray PP, Dash D, De D. Edge Computing for Internet of Things: A Survey, e-Health and IoT. IEEE Access. 2019;7:107883-902.

Li X, Dunn J, Salins D, Zhou G, Zhou W, Schüssler-Fiorenza Rose SM, et al. Digital health: Tracking physiomes and activity using wearable biosensors reveals useful health-related information. PLoS Biol. 2017;15(1):e2001402. DOI: https://doi.org/10.1371/journal.pbio.2001402

Verma N, Khanna S, Jain S. Real-Time ECG Monitoring with Wearable Device: A Comparative Study. J Med Syst. 2019;43(2):25.

Chen J, Guestrin C. Early detection of arrhythmias via wearable heart monitoring: A home-based study. JMIR Mhealth Uhealth. 2020;8(10):e18045.

Gupta RK, Tiwari A. IoT wearable systems for COVID-19 patients: A remote monitoring solution. Sensors. 2021;21(1):57.

Ghosh A, Bhattacharya S. Review on smart healthcare monitoring using IoT. Health Technol. 2021;11:997-1010.

Ramesh N, Rao K. Smart Glucometer Integrated with Mobile App: Evaluation of Impact on Glycemic Control. Indian J Endocrinol Metab. 2022;26(4):295-302.

Zhou Y, Liu Z. Integration of AI with IoT for Critical Care: ICU Decision Support System. Int J Med Inform. 2020;139:104146.

Martínez-Pérez B, de la Torre-Díez I, López-Coronado M. Mobile health applications for the most prevalent conditions by the World Health Organization: Review and analysis. J Med Internet Res. 2013;15(6):e120. DOI: https://doi.org/10.2196/jmir.2600

Harrop JP, De Maria A, Ford L. Improving Hand Hygiene Compliance using RFID-based Systems. Am J Infect Control. 2020;48(7):792-7.

Singh D, Kaur S. IoT-based Vital Signs Monitoring and Impact on Nurse Efficiency. J Clin Nurs. 2021;30(9–10):e85-92.

Alsubaei F, Abuhussein A, Shiva S. Security and Privacy in the Internet of Medical Things: Taxonomy and Risk Assessment. J Netw Comput Appl. 2017;78:1-11. DOI: https://doi.org/10.1109/LCN.Workshops.2017.72

Silva BN, Khan M, Han K. Towards sustainable smart cities: A review of trends, architectures, components, and open challenges in smart cities. Sustainable Cities Soc. 2018;38:697-713. DOI: https://doi.org/10.1016/j.scs.2018.01.053

Ahmed MU, Björkman M, Jamshed MA, Frisk E. Risk-Aware Anomaly Detection for Healthcare IoT Systems. Future Gener Comput Syst. 2020;108:1415-31.

Choi YK, Demiris G, Lin SY, Iribarren SJ. Smartphone Applications to Support Medication Adherence in Older Adults: A Systematic Review. Aging Health. 2020;13(2):e112.

Bauer AM, Rue T, Keppel GA, Cole AM. Use of mobile health (mHealth) tools by primary care patients in the WWAMI region practice and research network (WPRN). J Am Board Fam Med. 2014;27(6):780-8. DOI: https://doi.org/10.3122/jabfm.2014.06.140108

Zhang Y, Milinovich A, Xu Z. Using internet search data to monitor dengue epidemics: A new model for health data utilization. PLoS Negl Trop Dis. 2017;11(9):e0006076.

Iqbal R, Doctor F, More B, Mahmud S. Big data analytics and IoT in healthcare: A survey. J King Saud Univ Comput Inf Sci. 2022;34(3):1283-99.

Lopez-Villegas A, Catalan-Matamoros D, Martin-Delgado J. Remote Monitoring in Heart Failure Patients Using mHealth: A Systematic Review and Meta-analysis. J Telemed Telecare. 2021;27(10):577-92.

Hassan W, Rehmani MH, Chen J. Integrating cognitive radio with IoT for smart healthcare. IEEE Access. 2017;5:16393-403.

McLean S, Sheikh A, Cresswell K, Nurmatov U, Mukherjee M, Hemmi A, et al. The impact of telehealthcare on the quality and safety of care: A systematic overview. PLoS One. 2013;8(8):e71238. DOI: https://doi.org/10.1371/journal.pone.0071238

Yu KH, Beam AL, Kohane IS. Artificial intelligence in healthcare. Nat Biomed Eng. 2018;2(10):719-31. DOI: https://doi.org/10.1038/s41551-018-0305-z

Sharma A, Jain P, Mathur R. Efficacy of Smart BP Monitors on Hypertension Management: A Randomized Controlled Trial. J Telemed Telecare. 2023;29(1):48-54.

Nguyen T, Hawkins J, Kim J. Use of Smart Inhalers to Improve Asthma Management: A Prospective Study. Respir Med. 2021;184:106476.

Rao M, Banerjee A. Remote Monitoring in Rural India: A Public-Private Initiative to Improve Chronic Disease Management. Indian J Public Health. 2020;64(2):120-5.

Mohammadzadeh N, Safdari R, Rahimi A. A new model for patient-centered medical home using IoT and AI. Health Policy Technol. 2021;10(2):100529.

Almalki M, Gray K, Martin-Sanchez F. The Use of Self-Quantification Systems for Personal Health Information: Big Data Management. J Med Internet Res. 2015;17(3):e57. DOI: https://doi.org/10.1186/2047-2501-3-S1-S1

World Health Organization. Handbook for National Quality Policy and Strategy: A Practical Approach for Developing Policy and Strategy to Improve Quality of Care. Geneva: WHO. 2018.

Rojas SV, Gagnon MP. A Systematic Review of the Key Indicators for the Evaluation of Telemedicine. J Telemed Telecare. 2008;14(2):67-72. DOI: https://doi.org/10.1089/tmj.2008.0009

Hong QN, Pluye P, Fàbregues S, Bartlett G, Boardman F, Cargo M, et al. Mixed Methods Appraisal Tool (MMAT), version 2018. Registration of Copyright (#1148552), Canadian Intellectual Property Office, Industry Canada. 2018. Available at: http://mixedmethodsappraisaltoolpublic.pbworks. com/. Accessed on 17 July 2025.

Downloads

Published

2025-10-23

How to Cite

Kumari, R., Kalyani, B., Dabhi, P., Malhotra, K., Mundotiya, M., Khatodiya, R. S., Suhashini, & Umar, M. (2025). The impact of “internet of things”: advancing patient monitoring and health outcomes to enhance healthcare quality: a systematic review. International Journal of Clinical Trials, 12(4), 338–346. https://doi.org/10.18203/2349-3259.ijct20253339

Issue

Section

Systematic Reviews