The Integration and Implementation of the Healthcare Internet of Things and Its Comprehensive Analysis of Benefits, Challenges, and Future Prospects
Healthcare Internet of Things (HIoT) integration and deployment promise safe, real-time, and networked healthcare solutions, and as such, offer a fundamental paradigm change in modern healthcare. This study made use of a systematic examination of the suggested HIoT approach and a comparison to more conventional methodologies, each of which has its own advantages and disadvantages. Evaluation criteria including accuracy, precision, recall, and F1-Score were used to put a numerical value on the quality of the solutions. The story that the research uncovered is rather fascinating. The suggested HIoT technique beat traditional methods across all assessment criteria. In comparison to more established approaches like “Blockchain Encryption” (8.4) and “Data Validation” (7.9), the suggested method achieved a far higher accuracy rating (9.2). The recommended strategy demonstrated its excellence across several categories, receiving ratings of 8.8 for interoperability and 8.9 for real-time monitoring. Data accuracy, which had a score of 9.1, was another advantage of the recommended strategy that showed how helpful it was in avoiding medical errors. The study's findings demonstrate how HIoT may completely transform the way healthcare is provided. Although they are still there, worries about cyber security and data privacy are manageable. Only by working together will lawmakers, regulators, IT companies, and healthcare providers be able to fully reap the benefits of HIoT. With the introduction of tailored treatment plans, data-driven decision making, and real-time monitoring, the future of health information technology seems bright. The study's findings indicate that the recommended strategy has the potential to greatly enhance patient-centeredness, efficacy, and efficiency in healthcare. Healthcare has a bright future with the potential to save lives and enhance the quality of treatment thanks to the Internet of Things.
Authors
- Manish Goyal (ORCID: https://orcid.org/0000-0002-7781-2360)
- A Kannagi
- Karishma Desai (ORCID: https://orcid.org/0009-0009-5171-9588)
Institutions
- Jain University (IN)
- Bhartiya Skill Development University (IN)
- Vivekananda Global University (IN)
Publication Details
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1109/acroset62108.2024.10743411
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00