Mobile Apps for Wound Assessment and Monitoring: Limitations, Advancements and Opportunities.
With the proliferation of wound assessment apps across various app stores and the increasing integration of artificial intelligence (AI) in healthcare apps, there is a growing need for a comprehensive evaluation system. Current apps lack sufficient evidence-based reliability, prompting the necessity...
| Publicado en: | Journal of Medical Systems Vol. 48; no. 1; pp. 1 - 15 |
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| Autores principales: | , , , , , , |
| Formato: | pictorial research systematic review tables/charts Journal Article |
| Publicado: |
Springer Nature
8/24/2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=179604413&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 179604413 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: 8/24/2024 vid: 48 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 179604413 179604413 179604413 10.1007/s10916-024-02091-x 179604413 ppf: 1 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Mobile Apps for Wound Assessment and Monitoring: Limitations, Advancements and Opportunities. aug: au: Kabir, Muhammad Ashad Samad, Sabiha Ahmed, Fahmida Naher, Samsun Featherston, Jill Laird, Craig Ahmed, Sayed affil: https://ror.org/00wfvh315 School of Computing, Mathematics and Engineering, Charles Sturt University, 2795, Bathurst, NSW, Australia sug: subj: Mobile Applications Standards Wound Assessment Monitoring, Physiologic Health Services Accessibility Mobile Applications Evaluation Reproducibility of Results Human Smartphone Artificial Intelligence Systematic Review Interrater Reliability Confidence Intervals Descriptive Statistics Funding Source Scales ab: With the proliferation of wound assessment apps across various app stores and the increasing integration of artificial intelligence (AI) in healthcare apps, there is a growing need for a comprehensive evaluation system. Current apps lack sufficient evidence-based reliability, prompting the necessity for a systematic assessment. The objectives of this study are to evaluate the wound assessment and monitoring apps, identify limitations, and outline opportunities for future app development. An electronic search across two major app stores (Google Play store, and Apple App Store) was conducted and the selected apps were rated by three independent raters. A total of 170 apps were discovered, and 10 were selected for review based on a set of inclusion and exclusion criteria. By modifying existing scales, an app rating scale for wound assessment apps is created and used to evaluate the selected ten apps. Our rating scale evaluates apps' functionality and software quality characteristics. Most apps in the app stores, according to our evaluation, do not meet the overall requirements for wound monitoring and assessment. All the apps that we reviewed are focused on practitioners and doctors. According to our evaluation, the app ImitoWound got the highest mean score of 4.24. But this app has 7 criteria among our 11 functionalities criteria. Finally, we have recommended future opportunities to leverage advanced techniques, particularly those involving artificial intelligence, to enhance the functionality and efficacy of wound assessment apps. This research serves as a valuable resource for future developers and researchers seeking to enhance the design of wound assessment-based applications, encompassing improvements in both software quality and functionality. pubtype: Academic Journal doctype: pictorial research systematic review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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