Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22866, first published .
Creation of an Evidence-Based Implementation Framework for Digital Health Technology in the Intensive Care Unit: Qualitative Study

Creation of an Evidence-Based Implementation Framework for Digital Health Technology in the Intensive Care Unit: Qualitative Study

Creation of an Evidence-Based Implementation Framework for Digital Health Technology in the Intensive Care Unit: Qualitative Study

Journals

  1. Fernando M, Abell B, Tyack Z, Donovan T, McPhail S, Naicker S. Using Theories, Models, and Frameworks to Inform Implementation Cycles of Computerized Clinical Decision Support Systems in Tertiary Health Care Settings: Scoping Review. Journal of Medical Internet Research 2023;25:e45163 View
  2. Tronstad O, Flaws D, Patterson S, Holdsworth R, Fraser J. Creating the ICU of the future: patient-centred design to optimise recovery. Critical Care 2023;27(1) View
  3. Balzer F, Agha-Mir-Salim L, Ziemert N, Schmieding M, Mosch L, Prendke M, Wunderlich M, Memmert B, Spies C, Poncette A. Staff perspectives on the influence of patient characteristics on alarm management in the intensive care unit: a cross-sectional survey study. BMC Health Services Research 2023;23(1) View
  4. Rayan A, Al-Ghabeesh S, Fawaz M, Behar A, Toumi A. Experiences, barriers and expectations regarding current patient monitoring systems among ICU nurses in a University Hospital in Lebanon: a qualitative study. Frontiers in Digital Health 2024;6 View
  5. Mosch L, Sümer M, Flint A, Feufel M, Balzer F, Mörike F, Poncette A. Alarm Management in Intensive Care: Qualitative Triangulation Study. JMIR Human Factors 2024;11:e55571 View
  6. Chai M, Roberts N, Dobbins C, Roberts J, Cotta M. Factors Influencing Integration and Usability of Model-Informed Precision Dosing Software in the Intensive Care Unit. Applied Clinical Informatics 2024;15(02):388 View