This paper is in the following e-collection/theme issue:

mHealth for Health Administration (171) E-Health Policy and Health Systems Innovation (284) Mobile Health (mhealth) (3151)

Published on in Vol 8, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20482, first published .
Assessing the Food and Drug Administration’s Risk-Based Framework for Software Precertification With Top Health Apps in the United States: Quality Improvement Study

Assessing the Food and Drug Administration’s Risk-Based Framework for Software Precertification With Top Health Apps in the United States: Quality Improvement Study

Assessing the Food and Drug Administration’s Risk-Based Framework for Software Precertification With Top Health Apps in the United States: Quality Improvement Study

Authors of this article:

Noy Alon1 Author Orcid Image ;   Ariel Dora Stern2 Author Orcid Image ;   John Torous1 Author Orcid Image
Article Authors Cited by (15) Tweetations (22) Metrics

Journals

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  11. Seiferth C, Vogel L, Aas B, Brandhorst I, Carlbring P, Conzelmann A, Esfandiari N, Finkbeiner M, Hollmann K, Lautenbacher H, Meinzinger E, Newbold A, Opitz A, Renner T, Sander L, Santangelo P, Schoedel R, Schuller B, Stachl C, Terhorst Y, Torous J, Wac K, Werner-Seidler A, Wolf S, Löchner J. How to e-mental health: a guideline for researchers and practitioners using digital technology in the context of mental health. Nature Mental Health 2023;1(8):542 View
  12. Jacob C, Lindeque J, Müller R, Klein A, Metcalfe T, Connolly S, Koerber F, Maguire R, Denis F, Heuss S, Peter M. A sociotechnical framework to assess patient-facing eHealth tools: results of a modified Delphi process. npj Digital Medicine 2023;6(1) View
  13. Chen S, Lobo B. Regulatory and Implementation Considerations for Artificial Intelligence. Otolaryngologic Clinics of North America 2024;57(5):871 View
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