Towards Efficient Healthcare Management: Leveraging Computer Science Technologies.
Uloženo v:
| Název: | Towards Efficient Healthcare Management: Leveraging Computer Science Technologies. |
|---|---|
| Autoři: | Somepalli, Satyaveda, Chandra, Saurabh, Agrawal, Pratik, Lourens, Melanie |
| Zdroj: | Cuestiones de Fisioterapia; 2025, Vol. 54 Issue 2, p1060-1067, 8p |
| Témata: | ARTIFICIAL intelligence, MACHINE learning, COMPUTER engineering, COMPUTER science, SMARTWATCHES |
| Abstrakt: | This research explores the use of emerging technologies in computer science in the management of health care domain particularly with an intent to combine AI, wearable devices, blockchain, and quantum computing. They assessed deep learning models and algorithms and determine how the development of Artificial Intelligence enhance the diagnosis precision and the health care procedures. Smart watches as wearable technologies were used to collect actual health information to help a patient with managing his chronic disease. In efforts to maintain privacy of data, blockchain engineering was sort to enable secure exchange of medical information. Also, possible implications of quantum computing in reshaping medical data was also a topic of consideration. We expanded the effectiveness of AI models for medical image diagnosis to 92% of the total, and wearable devices helped decrease the rehospitalization rate for chronic patients by 30%. Blockchain was incorporated to increase efficacy of transmission of patient information across organizations by twenty-five percent. Quantum computing showed fifteen percentage improvement in the rate at which large scale medical datasets could be processed. The study also show that these technologies improve the efficiency, security and quality of the health sector and open up new opportunities in the development of modern health care platforms. More empirical enquiry should be conducted to investigate the issues of implementation, effectiveness and ethicality. [ABSTRACT FROM AUTHOR] |
| Copyright of Cuestiones de Fisioterapia is the property of Cuestiones de Fisioterapia and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Databáze: | Biomedical Index |
Nájsť tento článok vo Web of Science Buďte první, kdo okomentuje tento záznam!