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Using Real-Time Data to Develop and Improve Teaching of Clinical Skills in Virtual Nursing Simulation Laboratories During COVID-19 Pandemic.
Lokmic-Tomkins, Zerina; Marriott, Philippa; Tuddenham, Annie; Martin, Joanne.
  • Lokmic-Tomkins Z; Department of Nursing, The University of Melbourne, Australia.
  • Marriott P; Centre for Digital Transformation of Health, The University of Melbourne, Australia.
  • Tuddenham A; Department of Nursing, The University of Melbourne, Australia.
  • Martin J; Department of Nursing, The University of Melbourne, Australia.
Stud Health Technol Inform ; 284: 153-157, 2021 Dec 15.
Article in English | MEDLINE | ID: covidwho-1606233
ABSTRACT
During COVID-19 pandemic public health measures, face-to-face simulation laboratories were cancelled. A rapid transition to online teaching environments required staff and students to rapid upskilling in digital literacy. The purpose of this article is to describe a model of virtual nursing simulation laboratory implemented in graduate entry to practice Master's nursing program to teach clinical skills. The model used cloud-based communication app Zoom and real time feedback data to improve content delivery, student engagement and confidence in skill development. This model was co-designed with the student cohort to ensure students, as stakeholders, had a voice in having their education needs met during these challenging times.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Laboratories Type of study: Cohort study / Observational study / Prognostic study Limits: Humans Language: English Journal: Stud Health Technol Inform Journal subject: Medical Informatics / Health Services Research Year: 2021 Document Type: Article Affiliation country: SHTI210688

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Laboratories Type of study: Cohort study / Observational study / Prognostic study Limits: Humans Language: English Journal: Stud Health Technol Inform Journal subject: Medical Informatics / Health Services Research Year: 2021 Document Type: Article Affiliation country: SHTI210688