Published on in Vol 23, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23715, first published .
eHealth Implementation Issues in Low-Resource Countries: Model, Survey, and Analysis of User Experience

eHealth Implementation Issues in Low-Resource Countries: Model, Survey, and Analysis of User Experience

eHealth Implementation Issues in Low-Resource Countries: Model, Survey, and Analysis of User Experience

Journals

  1. Ferreira V, Seddighi H, Beumeler L, Metting E, Gallo V. eHealth tools to assess neurological function: a systematic review protocol for a mapping exercise. BMJ Open 2022;12(9):e062691 View
  2. Rinty M, Prodhan U, Rahman M. A prospective interoperable distributed e-Health system with loose coupling in improving healthcare services for developing countries. Array 2022;13:100114 View
  3. Young M. Neuroethics in the Era of Teleneurology. Seminars in Neurology 2022;42(01):067 View
  4. Berger J, Bruthans J, Kofránek J. Improving Implementation of an Electronic Prescription System for COVID-19 Vaccination in the Czech Republic: Process Modeling Approach. JMIR Formative Research 2023;7:e41575 View
  5. Mamuye A, Nigatu A, Chanyalew M, Amor L, Loukil S, Moyo C, Quarshie S, Antypas K, Tilahun B. Facilitators and Barriers to the Sustainability of eHealth Solutions in Low- and Middle-Income Countries: Descriptive Exploratory Study. JMIR Formative Research 2023;7:e41487 View
  6. Del Vecchio P, Mele G, Villani M. System Dynamics for E-Health: An Experimental Analysis of Digital Transformation Scenarios in Health Care. IEEE Transactions on Engineering Management 2023;70(8):2920 View
  7. Ferreira V, Metting E, Schauble J, Seddighi H, Beumeler L, Gallo V. eHealth tools to assess the neurological function for research, in absence of the neurologist – a systematic review, part I (software). Journal of Neurology 2024;271(1):211 View
  8. Ndlovu K, Mauco K, Makhura O, Hu R, Motlogelwa N, Masizana A, Lo E, Mphoyakgosi T, Moyo S. Experiences, Lessons, and Challenges With Adapting REDCap for COVID-19 Laboratory Data Management in a Resource-Limited Country: Descriptive Study. JMIR Formative Research 2024;8:e50897 View
  9. Edo O, Ang D, Etu E, Tenebe I, Edo S, Diekola O. Why do healthcare workers adopt digital health technologies - A cross-sectional study integrating the TAM and UTAUT model in a developing economy. International Journal of Information Management Data Insights 2023;3(2):100186 View
  10. Zhao Q, Li C, Zhang Y, Tang H, Wang J, Yu X, Zhao Y, Xing Y, Yu J, Ye J, Shan E, Li X. Economic evaluations of electronic health interventions for people with age‐related cognitive impairment and their caregivers: A systematic review. International Journal of Geriatric Psychiatry 2023;38(9) View
  11. Dang T, Sadreddin A, Ahuja S. Readily available technologies in low-resource communities: a review and synthesis. Information Technology for Development 2024;30(1):132 View
  12. Stanimirovic D. Failures and fallacies of eHealth initiatives: Are we finally able to overcome the underlying theoretical and practical orthodoxies?. DIGITAL HEALTH 2024;10 View
  13. Kitanovikj B, Koteska B, Levkov N, Velinov G, Chagoroska Z. A narrative review of e-health systems' evolution – evidence from a regional study. Journal of Health Organization and Management 2024;38(3):389 View
  14. Mwogosi A, Kibusi S. Effectiveness of EHR systems on decision support in primary healthcare: a technology acceptance model 3 perspective. Journal of Health Organization and Management 2024 View

Books/Policy Documents

  1. Avagyan A, Minasyan E, Khachatryan H, Gevorgyan S. Digitalization of Medicine in Low- and Middle-Income Countries. View