Generalized Nets Мodel of neonatal Critical Congenital Heart Defects screening process

The Generalized Nets (GN) approach is an advanced way of parallel process modeling and analysis of complex systems, such as neonatal critical congenital heart defects (CCHDs) screening, based on a new two-channel parallel measurement pulse oximetry method. The risk of mortality caused by critical congenital heart defects in newborns in-creases when there is a delay in diagnosis. Infants with CCHD usually need surgery or catheter intervention in the first few months of life. Newborns diagnosed with CCHD are at significant risk of death or disability if measures are not taken soon after birth. Screening for CCHDs is usually done when the baby is 24 to 48 hours old. These heart defects often cause low levels of oxygen saturation, known as hypoxemia, and can potentially be diagnosed using pulse oximetry. The present study proposes a new developed generalized net-based model of the CCHD screening process with the inclusion of additional procedures to avoid false positives and increase the reliability of pulse oximetry results. The proposed model covers all the aspects of the CCHDs screening process including new developed parallel measurements method reducing false positives and increasing the reliability of the oximetry measurements.