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

Innovative Methods in Public Health and Surveillance (336) Business and Entrepreneurship in eHealth (33)

Published on in Vol 6, No 4 (2020): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20579, first published .
Barriers to Creating Scalable Business Models for Digital Health Innovation in Public Systems: Qualitative Case Study

Barriers to Creating Scalable Business Models for Digital Health Innovation in Public Systems: Qualitative Case Study

Barriers to Creating Scalable Business Models for Digital Health Innovation in Public Systems: Qualitative Case Study

Authors of this article:

Leah Taylor Kelley1 Author Orcid Image ;   Jamie Fujioka1 Author Orcid Image ;   Kyle Liang1 Author Orcid Image ;   Madeline Cooper1 Author Orcid Image ;   Trevor Jamieson2 Author Orcid Image ;   Laura Desveaux1, 3 Author Orcid Image
Article Authors Cited by (21) Tweetations (1) Metrics

Journals

  1. Laka M, Carter D, Milazzo A, Merlin T. Challenges and opportunities in implementing clinical decision support systems (CDSS) at scale: Interviews with Australian policymakers. Health Policy and Technology 2022;11(3):100652 View
  2. Philbin S, Viswanathan R, Telukdarie A. Understanding how digital transformation can enable SMEs to achieve sustainable development: A systematic literature review. Small Business International Review 2022;6(1):e473 View
  3. Pei J. Approaches Toward Building the Digital Enterprise and Sustainable Economic Development: The Moderating Role of Sustainability. Frontiers in Psychology 2022;13 View
  4. Rakers M, van Os H, Recourt K, Mosis G, Chavannes N, Struijs J. Perceived barriers and facilitators of structural reimbursement for remote patient monitoring, an exploratory qualitative study. Health Policy and Technology 2023;12(1):100718 View
  5. Shah N, Costello K, Mehta A, Kumar D. Applications of Digital Health Technologies in Knee Osteoarthritis: Narrative Review. JMIR Rehabilitation and Assistive Technologies 2022;9(2):e33489 View
  6. Kroon D, van Dulmen S, Westert G, Jeurissen P, Kool R. Development of the SPREAD framework to support the scaling of de-implementation strategies: a mixed-methods study. BMJ Open 2022;12(11):e062902 View
  7. Lee J, Oh Y, Kim M, Cho B, Shin J. Willingness to Use and Pay for Digital Health Care Services According to 4 Scenarios: Results from a National Survey. JMIR mHealth and uHealth 2023;11:e40834 View
  8. Alami H, Shaw S, Fortin J, Savoldelli M, Fleet R, Têtu B. The ‘wrong pocket’ problem as a barrier to the integration of telehealth in health organisations and systems. DIGITAL HEALTH 2023;9 View
  9. Koebe P, Bohnet-Joschko S. The Impact of Digital Transformation on Inpatient Care: Mixed Methods Study. JMIR Public Health and Surveillance 2023;9:e40622 View
  10. Olaye I, Seixas A. The Gap Between AI and Bedside: Participatory Workshop on the Barriers to the Integration, Translation, and Adoption of Digital Health Care and AI Startup Technology Into Clinical Practice. Journal of Medical Internet Research 2023;25:e32962 View
  11. Groene N, Schneck L. Covering digital health applications in the public insurance system: how to foster innovation in patient care while mitigating financial risks—evidence from Germany. Frontiers in Digital Health 2023;5 View
  12. Chakraborty I, Nandhini K, Ilavarasan P, Edirippulige S. Factors of front-end innovation in fem-tech startups: An empirical study. Technology in Society 2024;76:102410 View
  13. Kumar S, Hartner A, Chandran A, Gaythorpe K, Li X. Evaluating effective measles vaccine coverage in the Malaysian population accounting for between-dose correlation and vaccine efficacy. BMC Public Health 2023;23(1) View
  14. Weimar S, Martjan R, Terzidis O. Conceptualizing the landscape of digital health entrepreneurship: a systematic review and research agenda. Management Review Quarterly 2024 View
  15. Skoczkowski T, Bielecki S, Wołowicz M, Sobczak L, Węglarz A, Gilewski P. Participation in demand side response. Are individual energy users interested in this?. Renewable Energy 2024;232:121104 View
  16. Coder M, McBride L, McClenahan S. Core elements of national policy for digital health technology evidence and access. npj Digital Medicine 2024;7(1) View
  17. Bell E, Heng H, Alousis N, King M, Hahne A, Collins T, See K, Webster T, O'Dowd E, Jackson P, Semciw A. Patient and Staff Insights on Digital Care Pathways for Patients With Low Back Pain in the Emergency Department: A Qualitative Study. Health Expectations 2024;27(4) View
  18. Koebe P. How digital technologies and AI contribute to achieving the health-related SDGs. International Journal of Information Management Data Insights 2025;5(1):100298 View

Books/Policy Documents

  1. Theodore J. Digital Technology in Public Health and Rehabilitation Care. View