Effective Factors on the Use of Internet of Things in Controlling the COVID-19 Epidemic in Iranian Hospitals: A Qualitative Study

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Pourgholam sarivi Javad; Rahmaty Fatemeh; Yaghoubi Maryam

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: HOSPITAL Year:2023 | Volume:22 | Issue:2 Page(s): 98-113

Download Full-Text

Persian Verion

View:

Download:

Cites:

Information Journal Paper

Title

Effective Factors on the Use of Internet of Things in Controlling the COVID-19 Epidemic in Iranian Hospitals: A Qualitative Study

Author(s)

Pourgholam sarivi Javad | Rahmaty Fatemeh | Yaghoubi Maryam | Issue Writer Certificate

Keywords

Artificial IntelligenceQ4

CoronavirusQ4

COVID-19Q4

Internet of ThingsQ4

Abstract

Introduction : The Internet of Things (IoT) enables the connectivity of all devices in our daily lives, and it has had a positive impact on healthcare, specifically in disease diagnosis and prevention, especially during times of crisis. The objective of this research is to identify the factors that influence the use of IoT in combating COVID-19 in hospitals. Materials and Methods: This qualitative study was conducted in 2023, using semi-structured face-to-face and telephone interviews with ten experts in health information technology and the Internet of Things. Data analysis was conducted using directed content analysis with MAXQDA software, version 2018. Results: The data analysis resulted in 124 codes, which were then divided into 32 subcategories. These subcategories were further classified into six categories according to the model of the International Telecommunication Union. The categories include Network (five subcategories), Application (ten subcategories), Equipment (four subcategories), Support (three subcategories), Management (six subcategories), and Security (four subcategories). The Application category had the highest frequency, while the Support category had the lowest. Conclusion: Infrastructure and legal aspects are among the most significant factors in the implementation of the Internet of Things in healthcare, particularly in the fight against COVID-19

Cites

No record.

References