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

Theme Issue (2020): Human Factors of the COVID-19 Outbreak (52) JMIR Theme Issue: COVID-19 Special Issue (2452) Outbreak and Pandemic Preparedness and Management (1727) Intensive Care Unit (ICU) (112) Teamwork (58) Electronic Health Records (1053) Theme Issue: Medical Informatics and COVID-19 (107) Infectious Diseases (non-STD/STI) (1575) New Methods (944)

Published on in Vol 8, No 1 (2021): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25724, first published .
Collaboration Structures in COVID-19 Critical Care: Retrospective Network Analysis Study

Collaboration Structures in COVID-19 Critical Care: Retrospective Network Analysis Study

Collaboration Structures in COVID-19 Critical Care: Retrospective Network Analysis Study

Authors of this article:

Chao Yan1 Author Orcid Image ;   Xinmeng Zhang1 Author Orcid Image ;   Cheng Gao2 Author Orcid Image ;   Erin Wilfong3 Author Orcid Image ;   Jonathan Casey3 Author Orcid Image ;   Daniel France4 Author Orcid Image ;   Yang Gong5 Author Orcid Image ;   Mayur Patel6, 7, 8, 9 Author Orcid Image ;   Bradley Malin1, 2, 10 Author Orcid Image ;   You Chen1, 2 Author Orcid Image
Article Authors Cited by (10) Tweetations (3) Metrics

Journals

  1. Rule A, Melnick E, Apathy N. Using event logs to observe interactions with electronic health records: an updated scoping review shows increasing use of vendor-derived measures. Journal of the American Medical Informatics Association 2022;30(1):144 View
  2. Zhang X, Yan C, Malin B, Patel M, Chen Y. Predicting next-day discharge via electronic health record access logs. Journal of the American Medical Informatics Association 2021;28(12):2670 View
  3. Li P, Chen B, Rhodes E, Slagle J, Alrifai M, France D, Chen Y. Measuring Collaboration Through Concurrent Electronic Health Record Usage: Network Analysis Study. JMIR Medical Informatics 2021;9(9):e28998 View
  4. Mannering H, Yan C, Gong Y, Alrifai M, France D, Chen Y. Assessing Neonatal Intensive Care Unit Structures and Outcomes Before and During the COVID-19 Pandemic: Network Analysis Study. Journal of Medical Internet Research 2021;23(10):e27261 View
  5. Dashtian H, Murthy D, Kong G. An Exploration of e-Cigarette–Related Search Items on YouTube: Network Analysis. Journal of Medical Internet Research 2022;24(1):e30679 View
  6. Bruyneel A, Bouckaert N, Maertens de Noordhout C, Detollenaere J, Kohn L, Pirson M, Sermeus W, Van den Heede K. Association of burnout and intention-to-leave the profession with work environment: A nationwide cross-sectional study among Belgian intensive care nurses after two years of pandemic. International Journal of Nursing Studies 2023;137:104385 View
  7. Jeong E, Malin B, Nelson S, Su Y, Li L, Chen Y. Revealing the dynamic landscape of drug-drug interactions through network analysis. Frontiers in Pharmacology 2023;14 View
  8. Maghsoodi E, Vanaki Z, Mohammadi E. Nurses’ perception of work and life under COVID-19 pandemic conditions: a qualitative study. Frontiers in Public Health 2023;11 View
  9. Liu X, Guo Y, Zhou Y. The present situation of the nursing practice environment and its influence on nursing quality in a post-epidemic era: a cross-sectional study. BMC Nursing 2024;23(1) View
  10. Booth J, Eriksson M, Marks S, Bryant W, Denaxas S, Pope R, Sebire N. Method to apply temporal graph analysis on electronic patient record data to explore healthcare professional–patient interaction intensity: a cohort study. BMJ Health & Care Informatics 2024;31(1):e101072 View