Importance of IoHT in Intelligent Healthcare Facilities: Improving Patient Outcomes through the Use of Networked Medical Equipment
Shanmugam Muthu, V. Samuthira Pandi, D Shobana, Jayant Giri, G. Karthikeyan
- Year
- 2025
- Citations
- 4
Abstract
The Internet of Healthcare Things (IoHT) is enabling truly intelligent healthcare facilities through the use of networked medical equipment, real-time data analytics, and artificial intelligence in order to produce enhanced patient care and operational efficiency. With the power of IoHT, healthcare providers can improve diagnostics, support remote monitoring, and optimize management of hospital resources and therefore enhance the patient experience. Telehealth services can include networked medical devices like wearables biosensors, smart infusion pumps, and AI-driven imaging systems that can offer continuous data on a patient’s health condition, which improves clinical decision-making and early disease diagnosis that, in turn, lowers hospital readmission rates, eliminates human errors, and customizes treatment plans to patient preferences, which is what the modern healthcare industry needs—human-centric care. The emerging IoHT can be attributed to the advances in wireless communications and cloud computing and edge computing, due to the timely and secure exchange of data between the medical device and hospital information systems. With real-time analytics, healthcare professionals can respond to patient needs proactively, better manage chronic diseases, and make emergency response protocols more efficient. Moreover, providing data privacy and regulatory compliance, blockchain and cyber security solutions are vital in addressing the issue of patient information being compromised. IoHT offers several advantages, covering the cost due to its ease of use and telemedicine solutions, but has many challenges, like data interoperability, infrastructure costs, cybersecurity risks, etc., which need continuous research and policy development to make its reliable and scalable presence in healthcare environments. An AI-enabled IoHT could, for example, strengthen the cybersecurity approaches of edge nodes in a hospital for the secure transfer, storage, and use of sensitive health data in any location. Bio-Digital spaces are part of this vision: smart hospitals with intelligent automation and robotic-assisted operations to improve health delivery and resource optimization. As the adoption of IoHT continues to grow, partnerships between tech developers, healthcare institutions, and regulators will be necessary to address technical and ethical issues while guaranteeing equitable access to advanced healthcare solutions. Through the integration of several patient-oriented systems, IoHT has the potential to revolutionize the healthcare landscape to improve patient outcomes, reduce medical costs, and enhance the quality of medical care in a myriad of ways.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991