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

Background: Caregiver workload in the ICU setting is difficult to numerically quantify. Ambient Intelligence utilises computer vision-guided neural networks to continuously monitor multiple datapoints in video feeds, has become increasingly efficient at automatically tracking various aspects of human movement.Objectives: To assess the feasibility of using Ambient Intelligence to track and quantify allpatient and caregiver activity within a bedspace over the course of an ICU admission and also to establish patient specific factors, and environmental factors such as time ofday, that might contribute to an increased workload in ICU workers.

Source: Australian Critical Care - October 13, 2022 Category: Nursing Authors: Peter Y. Chan, Andrew Tay, David Chen, Maria De Freitas, Coralie Millet, Thanh Nguyen-Duc, Graeme Duke, Jessica Lyall, John T. Nguyen, John McNeil, Ingrid Hopper Tags: Research paper Source Type: research