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

Theme Issue: Medical Informatics and COVID-19 (107) JMIR Theme Issue: COVID-19 Special Issue (2452) Telehealth and Telemonitoring (1671) Clinical Communication, Electronic Consultation and Telehealth (590) Outbreak and Pandemic Preparedness and Management (1727)

Published on in Vol 9, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25183, first published .
Driving Digital Transformation During a Pandemic: Case Study of Virtual Collaboration in a German Hospital

Driving Digital Transformation During a Pandemic: Case Study of Virtual Collaboration in a German Hospital

Driving Digital Transformation During a Pandemic: Case Study of Virtual Collaboration in a German Hospital

Authors of this article:

Nicholas R J Frick1 Author Orcid Image ;   Henriette L Möllmann2 Author Orcid Image ;   Milad Mirbabaie3 Author Orcid Image ;   Stefan Stieglitz4 Author Orcid Image
Article Authors Cited by (14) Tweetations (4) Metrics

Journals

  1. Mirbabaie M, Stieglitz S, Frick N. Artificial intelligence in disease diagnostics: A critical review and classification on the current state of research guiding future direction. Health and Technology 2021;11(4):693 View
  2. Burmann A, Fischer B, Brinkkötter N, Meister S. Managing Directors’ Perspectives on Digital Maturity in German Hospitals—A Multi-Point Online-Based Survey Study. International Journal of Environmental Research and Public Health 2022;19(15):9709 View
  3. Araja D, Berkis U, Murovska M. COVID-19 Pandemic-Revealed Consistencies and Inconsistencies in Healthcare: A Medical and Organizational View. Healthcare 2022;10(6):1018 View
  4. Stoumpos A, Kitsios F, Talias M. Digital Transformation in Healthcare: Technology Acceptance and Its Applications. International Journal of Environmental Research and Public Health 2023;20(4):3407 View
  5. Hospodková P, Berežná J, Barták M, Rogalewicz V, Severová L, Svoboda R. Change Management and Digital Innovations in Hospitals of Five European Countries. Healthcare 2021;9(11):1508 View
  6. Saleh A, Hussien S. Disease Diagnosis Based on Improved Gray Wolf Optimization (IGWO) and Ensemble Classification. Annals of Biomedical Engineering 2023 View
  7. Lin M, Lekhawipat W. Key influencing factors for the success of external innovation strategies in the biotechnology industry. Journal of Business & Industrial Marketing 2023;38(12):2745 View
  8. Umapathy V, Rajinikanth B S, Samuel Raj R, Yadav S, Munavarah S, Anandapandian P, Mary A, Padmavathy K, R A. Perspective of Artificial Intelligence in Disease Diagnosis: A Review of Current and Future Endeavours in the Medical Field. Cureus 2023 View
  9. Saleh A, Hussien S. Monkeypox diagnosis based on Dynamic Recursive Gray wolf (DRGW) optimization. Biomedical Signal Processing and Control 2024;87:105483 View
  10. Wu S, Wang W. Knowledge management in data-driven business models during the digital transformation of healthcare organisations. Knowledge Management Research & Practice 2023;21(5):983 View
  11. Keskenler M, Çelik E, Dal D. A New Multi-Layer Machine Learning (MLML) Architecture for Non-invasive Skin Cancer Diagnosis on Dermoscopic Images. Journal of Electrical Engineering & Technology 2024;19(4):2739 View
  12. Acehan Z, Senyigit Sarikaya O. Assessment of healthcare buildings in terms of spatial requirements in disaster cases together with healthcare professionals: Adana city hospital emergency department during the Covid-19 pandemic. International Journal of Disaster Risk Reduction 2024;108:104577 View
  13. Jovy-Klein F, Stead S, Salge T, Sander J, Diehl A, Antons D. Forecasting the future of smart hospitals: findings from a real-time delphi study. BMC Health Services Research 2024;24(1) View

Books/Policy Documents

  1. Witt V, Hauptmann B. Health Data Management. View