Análise de confiabilidade de monitores multiparamétricos utilizados em unidades de terapia intensiva

Abstract

A multi-parameter monitoring system is usually applied to keep track of the clinical condition of patients in Intensive Care Units (ICUs). ICUs are continuous monitoring environments used to host patients in serious health conditions. These Systems of Systems (SoS), used in ICUs comprise of a set of Constituent Systems (CS) to measure parameters such as heart rate, respiratory frequency, and temperature. Due to the critical nature and relevance of ICUs, such SoS shall be as reliable as possible. This is specially true in emergency situations, as is the case of the COVID-19 outbreak, which resulted in the burden of health care systems. Multi-parameter monitoring systems in ICUs shall have high levels of reliability, given that failures can provide risks to the safety of patients. We performed relia-bility analysis and provided insights to assist the management of multi-parameter monitoring systems used in ICUs, also considering preventive maintenance. We elicited requirements by interviewing a professional with more than fifteen years of hospital experience in maintenance. In addition, we analyzed existing systems and literature reviews. Therefore, we modeled multi-parameter monitoring systems for ICUs using the CHESS-ML modeling language. Afterward, we conducted reliability analysis by applying the CHESS-SBA plugin state-based analysis, simulating different scenarios. Based on the reliability analysis, we identified that main power supply and the battery are the CS that present major negative impacts in the total reliability the entire system in failure situations. In emergency situations, reduced time ranges of preventive maintenance, when applied during a short period, showed to be promising strategies to increase quality of multiparameter monitoring systems for ICUs.