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

Viewpoints and Proposals (2) Formative Studies and eHealth/mHealth Development (516) Theoretical Frameworks and Concepts (232) Design and Formative Evaluation of Mobile Apps (664) Mobile Apps for Cardiology (127) Formative Evaluation of Digital Health Interventions (2226) Myocardial Infarction (Heart Attack) (40)

Published on in Vol 2, No 1 (2018): Jan-Jun

Digital Health Innovation: A Toolkit to Navigate From Concept to Clinical Testing

Digital Health Innovation: A Toolkit to Navigate From Concept to Clinical Testing

Digital Health Innovation: A Toolkit to Navigate From Concept to Clinical Testing

Authors of this article:

Francoise Adeline Marvel1 Author Orcid Image ;   Jane Wang2 Author Orcid Image ;   Seth Shay Martin1 Author Orcid Image
Article Authors Cited by (19) Tweetations (23) Metrics

Journals

  1. Wongvibulsin S, Martin S, Steinhubl S, Muse E. Connected Health Technology for Cardiovascular Disease Prevention and Management. Current Treatment Options in Cardiovascular Medicine 2019;21(6) View
  2. Arps K, Pallazola V, Cardoso R, Meyer J, Jones R, Latina J, Gluckman T, Stone N, Blumenthal R, McEvoy J. Clinician's Guide to the Updated ABCs of Cardiovascular Disease Prevention: A Review Part 2. The American Journal of Medicine 2019;132(7):e599 View
  3. Irizarry T, Allen M, Suffoletto B, Einhorn J, Burke L, Kamarck T, Rollman B, Muldoon M. Development and Preliminary Feasibility of an Automated Hypertension Self-Management System. The American Journal of Medicine 2018;131(9):1125.e1 View
  4. Harris J, Cheevers K, Armes J. The emerging role of digital health in monitoring and supporting people living with cancer and the consequences of its treatments. Current Opinion in Supportive & Palliative Care 2018;12(3):268 View
  5. Kelley L, Fujioka J, Liang K, Cooper M, Jamieson T, Desveaux L. Barriers to Creating Scalable Business Models for Digital Health Innovation in Public Systems: Qualitative Case Study. JMIR Public Health and Surveillance 2020;6(4):e20579 View
  6. Tahri Sqalli M, Al-Thani D. Evolution of Wearable Devices in Health Coaching: Challenges and Opportunities. Frontiers in Digital Health 2020;2 View
  7. Marvel F, Spaulding E, Lee M, Yang W, Demo R, Ding J, Wang J, Xun H, Shah L, Weng D, Carter J, Majmudar M, Elgin E, Sheidy J, McLin R, Flowers J, Vilarino V, Lumelsky D, Bhardwaj V, Padula W, Shan R, Huynh P, Wongvibulsin S, Leung C, Allen J, Martin S. Digital Health Intervention in Acute Myocardial Infarction. Circulation: Cardiovascular Quality and Outcomes 2021;14(7) View
  8. Hughes J, Lennon M, Rogerson R, Crooks G. Scaling Digital Health Innovation: Developing a New ‘Service Readiness Level’ Framework of Evidence. International Journal of Environmental Research and Public Health 2021;18(23):12575 View
  9. Bhardwaj V, Spaulding E, Marvel F, LaFave S, Yu J, Mota D, Lorigiano T, Huynh P, Shan R, Yesantharao P, Lee M, Yang W, Demo R, Ding J, Wang J, Xun H, Shah L, Weng D, Wongvibulsin S, Carter J, Sheidy J, McLin R, Flowers J, Majmudar M, Elgin E, Vilarino V, Lumelsky D, Leung C, Allen J, Martin S, Padula W. Cost-effectiveness of a Digital Health Intervention for Acute Myocardial Infarction Recovery. Medical Care 2021;59(11):1023 View
  10. Cordero Tous N, Santos Martín L, Sánchez Corral C, Román Cutillas A, Núñez Alfonsel B, Román Moyano M, Horcajadas Almansa Á. Development of an integrated solution for patients with neurostimulator for chronic pain in times of COVID-19: A mobile application with a support center. Neurocirugía (English Edition) 2022;33(6):318 View
  11. Duffy A, Christie G, Moreno S. The Challenges Toward Real-world Implementation of Digital Health Design Approaches: Narrative Review. JMIR Human Factors 2022;9(3):e35693 View
  12. Seneviratne M, Connolly S, Martin S, Parakh K. Grains of Sand to Clinical Pearls: Realizing the Potential of Wearable Data. The American Journal of Medicine 2023;136(2):136 View
  13. Cordero Tous N, Santos Martín L, Sánchez Corral C, Román Cutillas A, Núñez Alfonsel B, Román Moyano M, Horcajadas Almansa Á. Desarrollo de una solución integrada para pacientes con dolor crónico portadores de neuroestimulador en tiempos del COVID-19: una aplicación para móvil con centro de soporte. Neurocirugía 2022;33(6):318 View
  14. Dalko K, Kraft B, Jahn P, Schildmann J, Hofstetter S. Cocreation of Assistive Technologies for Patients With Long COVID: Qualitative Analysis of a Literature Review on the Challenges of Patient Involvement in Health and Nursing Sciences. Journal of Medical Internet Research 2023;25:e46297 View
  15. Weimar S, Martjan R, Terzidis O. Conceptualizing the landscape of digital health entrepreneurship: a systematic review and research agenda. Management Review Quarterly 2024 View

Books/Policy Documents

  1. Elshafeey A, Mhaimeed O, Al Ani J, Elshazly M. Machine Learning in Cardiovascular Medicine. View
  2. Marvel F, Huynh P, Martin S. Precision Medicine in Cardiovascular Disease Prevention. View
  3. Sqalli M, Al-Thani D, Qaraqe M, Fernandez-Luque L. Multiple Perspectives on Artificial Intelligence in Healthcare. View