Literature DB >> 30153924

Innovation process of mHealth: An overview of FDA-approved mobile medical applications.

Reiko Onodera1, Shintaro Sengoku2.   

Abstract

Mobile health or mHealth is expected to provide a way to revolutionize patient care through a wide range of usages. In reality, regulatory authorities have also begun approving mobile medical applications as medical devices. However, the key factors that drive innovations in mHealth, in particular, the dynamics of technological development and market creation, are unclear. To address these issues, the present study explores the key factors that drive the growth of the mHealth industry and potential innovation pathways that need to be incorporated into corporate development strategies of organizations. We analyzed the mHealth products approved by FDA to date (N = 189) in accordance with the novelty of market and/or products and found that new product development in the existing medical market formed the majority (N = 171) whereas diversification or new market development took up only a minor portion (N = 16 or 2, respectively). We also found that the present mHealth industry is being shaped by new entrants or start-ups with expertise in the field of information and communication technology, particularly in collaboration with incumbents in the pharmaceutical and medical devices industry in the cases of radical innovation.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Innovation management; Medical device; Mobile application; Mobile health; R&D management; Regulation

Mesh:

Year:  2018        PMID: 30153924     DOI: 10.1016/j.ijmedinf.2018.07.004

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  10 in total

1.  Cancer Prevention Using Machine Learning, Nudge Theory and Social Impact Bond.

Authors:  Daitaro Misawa; Jun Fukuyoshi; Shintaro Sengoku
Journal:  Int J Environ Res Public Health       Date:  2020-01-28       Impact factor: 3.390

2.  Uncertain Multiplicative Language Decision Method Based on Group Compromise Framework for Evaluation of Mobile Medical APPs in China.

Authors:  Junchang Li; Jiantong Zhang; Ye Ding
Journal:  Int J Environ Res Public Health       Date:  2020-04-21       Impact factor: 3.390

3.  A Mobile App and Dashboard for Early Detection of Infectious Disease Outbreaks: Development Study.

Authors:  Euijoon Ahn; Na Liu; Tej Parekh; Ronak Patel; Tanya Baldacchino; Tracy Mullavey; Amanda Robinson; Jinman Kim
Journal:  JMIR Public Health Surveill       Date:  2021-03-09

4.  A Dynamic Equilibrium Mechanism of Core Layer Interests in the Mobile Medical Platform Ecosystem.

Authors:  Zheng Shenghua; Hakam Bader; Chen Jue
Journal:  Appl Bionics Biomech       Date:  2022-01-21       Impact factor: 1.781

Review 5.  Critical Factors and Economic Methods for Regulatory Impact Assessment in the Medical Device Industry.

Authors:  Jan Maci; Petra Marešová
Journal:  Risk Manag Healthc Policy       Date:  2022-01-19

6.  Exploring the Shift in International Trends in Mobile Health Research From 2000 to 2020: Bibliometric Analysis.

Authors:  Jianfei Cao; Yeongjoo Lim; Shintaro Sengoku; Xitong Guo; Kota Kodama
Journal:  JMIR Mhealth Uhealth       Date:  2021-09-08       Impact factor: 4.773

7.  Analysis of the Regulatory, Legal, and Medical Conditions for the Prescription of Mobile Health Applications in the United States, The European Union, and France.

Authors:  Parina Hassanaly; Jean Charles Dufour
Journal:  Med Devices (Auckl)       Date:  2021-11-24

8.  A Layered Adopter-Structure Model for the Download of COVID-19 Contact Tracing Apps: A System Dynamics Study for mHealth Penetration.

Authors:  Makoto Niwa; Yeongjoo Lim; Shintaro Sengoku; Kota Kodama
Journal:  Int J Environ Res Public Health       Date:  2022-04-04       Impact factor: 3.390

9.  Wound Care Knowledge, Attitudes, and Practices and Mobile Health Technology Use in the Home Environment: Cross-Sectional Survey of Social Network Users.

Authors:  Ya-Ting Kuan; Tze-Fang Wang; Chao-Yu Guo; Fu-In Tang; I-Ching Hou
Journal:  JMIR Mhealth Uhealth       Date:  2020-03-26       Impact factor: 4.773

10.  Effects of Patient-Generated Health Data: Comparison of Two Versions of Long-Term Mobile Personal Health Record Usage Logs.

Authors:  Do-Hoon Kim; Yura Lee; Ji Seon Oh; Dong-Woo Seo; Kye Hwa Lee; Young-Hak Kim; Woo Sung Kim; Jae-Ho Lee
Journal:  Healthcare (Basel)       Date:  2021-12-28
  10 in total

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