Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Previously submitted to: Journal of Medical Internet Research (no longer under consideration since Aug 15, 2023)

Date Submitted: Mar 21, 2023

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Key Indicators of Digital Health Dissemination and Application in Healthcare Settings: A Combined Analytic Hierarchy Process and Cross-sectional Survey Analysis in South Korea

  • Hye Hyeon Kim; 
  • JooHyun Lee; 
  • Jong Hyun Kim; 
  • Sang Sook Beck; 
  • Yu Rang Park

ABSTRACT

Background:

Digital technologies such as mobile technology, the Internet of Things (IoT), artificial intelligence (AI), and virtual reality have revolutionized healthcare, and the COVID-19 pandemic has further highlighted the importance of implementing digital health in healthcare settings. However, the key indicators of digital health dissemination and application are yet to be identified, making it challenging to adopt digital health innovations in healthcare. Therefore, to promote digital health adoption, it is critical to identify the key indicators and applications of digital health-related technologies.

Objective:

This study aimed to identify the key indicators of digital health dissemination and application in healthcare settings by surveying digital health experts, workers in medical institutions, and industry experts regarding the priorities and demand for digital health adoption, and to determine if demand gaps exist.

Methods:

We surveyed 254 participants in South Korea between January 2022 and May 2022 to identify the key indicators, priorities, and demands related to digital health dissemination and application in healthcare settings. An Analytical Hierarchy Process (AHP) method was applied to derive the weight of the key indicators of digital health dissemination and application, and an online survey was conducted to obtain related information from workers in medical institutions and digital health-related fields.

Results:

Three surveys were conducted among 68 digital health experts and 186 medical workers to identify the key indicators of digital health dissemination and application. The results indicated that the standardization of healthcare information is essential for digital health adoption (AHP-weighted mean score: 78.11), with healthcare providers prioritizing digital health use for mental illness and chronic diseases. In addition, the findings revealed inconsistencies in the demand for digital health technology among digital health experts, workers in medical institutions, and workers in digital health-related industries. While digital health experts prioritized digital health systems, medical workers expressed a high demand for mobile healthcare and telemedicine.

Conclusions:

Identifying the key indicators of digital health dissemination and application is crucial to facilitate the adoption of digital health. Our study found that the standardization of healthcare information is essential for digital health, with healthcare providers prioritizing its use in mental illness and chronic disease management. Prioritizing the dissemination and application of digital health at the point of care based on key indicators and the needs of healthcare providers is necessary for the successful implementation of digital health in the healthcare sector.


 Citation

Please cite as:

Kim HH, Lee J, Kim JH, Beck SS, Park YR

Key Indicators of Digital Health Dissemination and Application in Healthcare Settings: A Combined Analytic Hierarchy Process and Cross-sectional Survey Analysis in South Korea

JMIR Preprints. 21/03/2023:47485

DOI: 10.2196/preprints.47485

URL: https://preprints.jmir.org/preprint/47485

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.