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The Interactive Mobile App Review Toolkit (IMART): a Clinical Practice-Oriented System

The Interactive Mobile App Review Toolkit (IMART): a Clinical Practice-Oriented System The inadequacy of infrastructure for bringing mobile healthcare apps from developers to clinical practitioners has kept the 165,000+ currently available healthcare apps from integration into routine clinical practice. The absence of regulatory and certification processes and the unlikelihood that many apps will be tested with credible clinical trials leaves it up to expert reviews to lead clinicians to high-quality apps. However, most app reviews are not collected in an easily searchable location that facilitates comparison of the merits of alternative apps, and surveys of existing expert reviews reveal a lack of standards for objective and reliable assessments. Furthermore, most published recommendations for apps are not based on their validity or appropriateness for clinical use.This article describes development of the Interactive Mobile App Review Toolkit (IMART), a technology-assisted system for producing verifiable app reviews intended for clinicians and its accompanying evidence-based thesaurus of standards. IMART will present systematized reviews in a searchable, curated library where clinicians can find and compare reviews about apps that are tagged as to the treatment needs of clients/patients and that address how the apps could be integrated into the visitor’s clinical practice.The assessment criteria in the “Digital Health Standards Thesaurus” can be used in reviewing apps and other digital health products, in developing apps, in making decisions about investing venture capital or foundation funds into concepts for new digital health products, and in selecting such products into the “formularies” of third party payers. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Technology in Behavioral Science Springer Journals

The Interactive Mobile App Review Toolkit (IMART): a Clinical Practice-Oriented System

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References (94)

Publisher
Springer Journals
Copyright
Copyright © 2017 by Springer International Publishing
Subject
Psychology; Clinical Psychology; Psychiatry; Social Work and Community Development
eISSN
2366-5963
DOI
10.1007/s41347-016-0005-z
Publisher site
See Article on Publisher Site

Abstract

The inadequacy of infrastructure for bringing mobile healthcare apps from developers to clinical practitioners has kept the 165,000+ currently available healthcare apps from integration into routine clinical practice. The absence of regulatory and certification processes and the unlikelihood that many apps will be tested with credible clinical trials leaves it up to expert reviews to lead clinicians to high-quality apps. However, most app reviews are not collected in an easily searchable location that facilitates comparison of the merits of alternative apps, and surveys of existing expert reviews reveal a lack of standards for objective and reliable assessments. Furthermore, most published recommendations for apps are not based on their validity or appropriateness for clinical use.This article describes development of the Interactive Mobile App Review Toolkit (IMART), a technology-assisted system for producing verifiable app reviews intended for clinicians and its accompanying evidence-based thesaurus of standards. IMART will present systematized reviews in a searchable, curated library where clinicians can find and compare reviews about apps that are tagged as to the treatment needs of clients/patients and that address how the apps could be integrated into the visitor’s clinical practice.The assessment criteria in the “Digital Health Standards Thesaurus” can be used in reviewing apps and other digital health products, in developing apps, in making decisions about investing venture capital or foundation funds into concepts for new digital health products, and in selecting such products into the “formularies” of third party payers.

Journal

Journal of Technology in Behavioral ScienceSpringer Journals

Published: Jan 11, 2017

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