Ambient intelligence–based monitoring of staff and patient activity in the intensive care unit-Reference-Cited by-同舟云学术

Ambient intelligence–based monitoring of staff and patient activity in the intensive care unit

Published:2023-01 Issue:1 Volume:36 Page:92-98
ISSN:1036-7314
Container-title:Australian Critical Care
language:en
Short-container-title:Australian Critical Care

Author:

Chan Peter Y.^ORCID,Tay Andrew,Chen David^ORCID,De Freitas Maria,Millet Coralie,Nguyen-Duc Thanh,Duke Graeme,Lyall Jessica,Nguyen John T.,McNeil John,Hopper Ingrid

Publisher

Elsevier BV

Subject

Critical Care Nursing,Emergency Nursing

Reference20 articles.

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2. Burnout and post-traumatic stress disorder in frontline nurses during the COVID-19 pandemic: a systematic literature review and meta-analysis of studies published in 2020;Caruso;Acta Biomed,2021

3. Predictors of compassion satisfaction and compassion fatigue in health care workers providing health and rehabilitation services in rural and remote locations: a scoping review;McGrath;Aust J Rural Health,2022

4. A discrete event simulation tool to support and predict hospital and clinic staffing;DeRienzo;Health Inf J,2017

5. Intensive care unit staffing during the periods of fluctuating bed occupancy: an alternative dynamic model;Jin;Intensive Crit Care Nurs,2021

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1. Use of a Multiscale Vision Transformer to Predict Nursing Activities Score From Low-Resolution Thermal Videos in an Intensive Care Unit;IEEE Sensors Letters;2024-07

2. Smart Healthcare: Exploring the Internet of Medical Things with Ambient Intelligence;Electronics;2024-06-13

3. Applied Artificial Intelligence in Healthcare: A Review of Computer Vision Technology Application in Hospital Settings;Journal of Imaging;2024-03-28

4. A voice-based digital assistant for intelligent prompting of evidence-based practices during ICU rounds;Journal of Biomedical Informatics;2023-10

5. Critical care workforce in crisis: A path forward;Australian Critical Care;2023-01