Characteristics of Digital Health Platforms for Wound Management: Content Analysis Through Systematic Review and Search of App Stores (Preprint)

Author:

Guo YuchenORCID,Zhao Chunlin,Liang Zhimin,Yang Xue,Zhu Ling,Xu Xinxin,Yuan Linyan,Chen Xiao,Wang Jing,Li Lingli

Abstract

BACKGROUND

With the development of interdisciplinary research, digital health exhibits considerable potential in wound management, and artificial intelligence (AI) has emerged as a vital technology in wound image recognition and the construction of risk prediction models which plays a significant role in promoting wound management.

OBJECTIVE

This scoping review aims to systematically review the current state of digital health platforms (DHP) designed for wound management. Specifically, we focus on the AI-powered functions of these apps to explore the gaps between the research and practical application of machine learning.

METHODS

According to the scoping review methodology, mainstream app markets including GooglePlay (Android), AppStore (iOS), Huawei App Market (Harmony) and other types of DHPs were searched by keywords, installed and screened out. At the same time, PubMed (MEDLINE), Embase (OVID), Cochrane Library, Web of Science, IEEE Xplore, CNKI, Wanfang were searched and recorded, supplementing the incomplete part of the app stores. Qualifying DHPs were evaluated based on parameters such as characteristics, functionality, usage, privacy and security.

RESULTS

In total, 23,894 documents were searched, resulting in 51 compliant studies. The DHPs for wound management encompassed 65 mobile apps, 3 Software as a Service (SaaS), 1 Progressive Web Application (PWA), and 2 Electronic Health Records (EHR), with an aggregate of 52 being launched on app stores. The majority were for chronic wounds or all types of wound management (43/52, 82.7%), and over half of the apps are AI-powered(33/52, 63.5%). Overall, wound management apps occupied a limited part of the app market, which were characterized by low download volumes, delayed updates, and predominantly single-functionality, rendering them insufficient to fulfill the requirements of home-based wound management for patients. And most of launched apps lacked the support of academic studies (39/52, 75.0%), which couldn’t guarantee to be scientific. And only a modest portion of DHPs mentioned in articles had real-world applicability (17/71, 23.9%).

CONCLUSIONS

In this review, DHPs have proliferated for research or commercial use which facilitate the management of chronic wound and surgical wound. Given the digital health landscape, propelling the development and AI integration of apps is crucial as they can cater to individual needs, promote self-management and contribute significantly to wound management. Nonetheless, the quality, function, privacy and security of the existing launched wound management apps vary significantly, necessitating further research to address disparities and challenges.

CLINICALTRIAL

https://doi.org/10.17605/OSF.IO/MGPEU.

Publisher

JMIR Publications Inc.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3