Wireless monitoring and real-time adaptive predictive indicator of deterioration
作者： Heather P. Duncan , Balazs Fule , Iain Rice , Alice J. Sitch , David Lowe
DOI: 10.1038/S41598-020-67835-4
关键词:
摘要: To assist in the early warning of deterioration hospitalised children we studied feasibility collecting continuous wireless physiological data using Lifetouch (ECG-derived heart and respiratory rate) WristOx2 (pulse-oximetry derived pulse sensors. We compared our bedside paediatric (PEW) score a machine learning automated approach: Real-time Adaptive Predictive Indicator Deterioration (RAPID) to identify experiencing significant clinical deterioration. 982 patients contributed 7,073,486 min during 1,263 monitoring sessions. The proportion intended time was 93% for 55% WristOx2. Valid 63% 50% 29 experienced 36 clinically deteriorations. The RAPID Index detected more frequently (77% 97%) earlier than PEW ≥ 9/26. High sensitivity negative predictive value the RAPID associated with low specificity positive value. conclude that it is feasible collect valid wirelessly time. RAPID identified deterioration, before score, but has specificity. By system some life-threatening events may be averted.
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