A Novel Visualisation System for ICU Nursing Effort Per-Patient (2013)

View/ Open
Type of Content
Conference Contributions - OtherPublisher
University of Canterbury. Mechanical EngineeringCollections
Abstract
Patient and nurse interaction in the Intensive Care Unit (ICU) influences patient recovery, care and outcome [1-3]. In particular, it is imperative to build up a nurse-to-patient ratio system for ICU. However, most of evaluation systems are patient oriented, focusing on assessing the patient condition. The assumption made in these evaluation systems is that the sicker the patient, the higher nursing care provision is required. These systems are broad and may not easily differentiate patients needing more or less care. There is no standard method to consistently quantify patient and bedside nurse interaction. This paper presents a new Nurse Motion Tracking System (NMTS), which is developed to track and evaluate nursing motion at the patient bedside, aimed to quantify the time nurses spend on nursing activities.
Citation
Guo, P., Chiew, Y.S., Shaw, G.M., Chase, J.G. (2013) A Novel Visualisation System for ICU Nursing Effort Per-Patient. Christchurch, New Zealand: Health Research Society of Canterbury (HRSC) Meeting, 3 Oct 2013. 1pp.This citation is automatically generated and may be unreliable. Use as a guide only.
ANZSRC Fields of Research
42 - Health sciences::4205 - Nursing::420501 - Acute care32 - Biomedical and clinical sciences::3202 - Clinical sciences::320212 - Intensive care
Related items
Showing items related by title, author, creator and subject.
-
In-parallel Ventilator Sharing During an Acute Shortage: Too Much Risk for a Wider Uptake.
Chase, Geoff; Chiew Y-S; Lambermont B; Morimont P; Shaw, Geoff; Desaive T (American Thoracic Society, 2020) -
Safe doubling of ventilator capacity: A last resort proposal for last resorts
Chiew YS; Lambermont B; Morimont P; Shaw, Geoff; Desaive T; Chase, Geoff (Springer Science and Business Media LLC, 2020) -
Accurate Glycemic Control in Critically Ill Patients: The Stochastic Targeted Framework
Penning, S.; Desaive, T.; Massion, P.; Le Compte, A.J.; Pretty, C.G.; Shaw, Geoff; Chase, Geoff; Moorhead, K.T. (University of Canterbury. Mechanical Engineering, 2011)Stochastic TARgeted (STAR) is a model-based, adaptive and patient-specific accurate glycemic control (AGC) framework, customizable to clinically specified glycemic targets, control approaches and clinical resources. This ...