BIO Web Conf.
Volume 86, 2024International Conference on Recent Trends in Biomedical Sciences (RTBS-2023)
|Number of page(s)
|12 January 2024
IoT-Enhanced Healthcare: A Patient Care Evaluation Using the IoT Healthcare Test
1 Peter the Great St. Petersburg Polytechnic University, Saint Petersburg 195251, Russian Federation
2 Lovely Professional University Phagwara, Punjab, India
3 Uttaranchal University, Dehradun 248007, India
4 K R Mangalam University, Gurgaon, India
5 GD Goenka University, Sohna, Haryana, India
6 GRIET, Bachupally, Hyderabad, Telangana, India
* Corresponding author: firstname.lastname@example.org
Empirical insights into the significant effects of IoT-Enhanced Healthcare on patient care and health outcomes are provided by this study. The transformational potential of IoT technology is shown by data generated from a varied patient group, which includes continuous monitoring of blood pressure, body temperature, heart rate, and blood glucose levels via IoT devices. The usage of IoT devices is directly correlated with greater cardiovascular stability, as shown by consistently normal vital signs, according to statistical assessments. Additionally, the data highlights how patients using IoT devices have better control over their blood glucose levels, as seen by fewer cases of increased glucose levels. Evaluations of the quality of patient care show improved levels of satisfaction, efficacy of therapy, and communication, highlighting the benefits of IoT-Enhanced Healthcare. The evaluation of the outcomes of the IoT Healthcare Test confirms the precision and dependability of IoT devices in medical diagnosis, highlighting the significance of IoT-Enhanced Healthcare in transforming patient care. Together, these results provide strong evidence of IoT's ability to improve patient outcomes, treatment quality, and patient health.
Key words: IoT-enhanced healthcare / Patient monitoring / Healthcare technology / Data-driven healthcare / Medical IoT
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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