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CDSS is a tool to solve many problems that doctors have to face, namely the information overload, the overspecialization, the lack of cooperation between specialties, and the existence of errors in the health care systems like human errors, health care system errors \cite{kim2005study}.  To understand more about CDSS, here are the following studies that show the way of the facts:  Clinical Decision Support Systems (CDSS) are computer-based information systems used to integrate clinical and patient information to provide support for decision-making in patient care \cite{berner2007clinical}. The medical tasks in which CDSS have been successfully used included diagnostic assistance, the generation of alerts and reminders, therapy critiquing/planning, information retrieval, and image recognition and interpretation \cite{sintchenko2005handheld}.  Computerized systems have been developed to assist the care of newborn infants since Perlstein 1976 first described their system for incubator temperature control. Indeed, CDSS have been created for many areas of neonatal care including management of the ventilated neonate \cite{tallman1995medical} and in prescriptions, for example of parenteral nutrition solutions (Ball, 1985). Systems have also been used for the prediction of length of inpatient stay \cite{hechler2009effectiveness} as well as prognosis of respiratory distress syndrome \cite{hermansen2007respiratory}. These systems were generally reported to have beneficial effects on neonatal care.  A number of CDSS have been successfully evaluated using the randomized controlled trial design \cite{randolph1999users}. A systematic review of these rigorously conducted studies showed that CDSS were effective in improving physician performance and patient outcome, but this review did not investigate systems developed for use in newborn infants \cite{hunt1998effects}. Although there are general reviews on the use of CDSS in pediatrics, like the effect of CPOE on prescribing \cite{kaushal1998identification}, there are no systematic reviews on the effects of CDSS on care of newborn infants.The concept of computerized decision-support in pediatrics is not new. A mathematical approach was described for the diagnosis of congenital heart disease \cite{warner1961mathematical}. In this study, long before the advent of echocardiography, data were drawn from 1,035 patients referred for cardiac catheterization. Given multiple clinical findings, a matrix of 33 different congenital heart diseases and 50 associated clinical findings was used to calculate the probability of a specific diagnosis. The diagnostic accuracy of this system matched that of 3 pediatric cardiologists. Although, historically, CDSS was primarily were focused on diagnostic recommendations, pediatric decision-support that can be provided by any computer system which deals with clinical data and medical knowledge to help deliver patient-specific advice. Laboratory systems that flag abnormal values, immunization registries that issue vaccination reminders and automated pediatric electrocardiograph (ECG) interpretation are just a few examples of CDSS in common use today. Support systems may be helpful for managing illness and the survival of newborns in the first 28 days of life. They may also influence the performance of doctors treating these newborn  infants. The review authors searched the medical literature and contacted experts to find studies on CDSS used with newborns. They identified three randomized controlled studies that met the criteria for the review. Two of these three studies were on computer-aided drug prescribing and the other one was on computerized physiological monitoring of newborns. One of the studies on computer-aided prescribing showed that the CDSS used resulted in fewer drug dosage errors. The studies found no other benefits. The studies did not consider long-term outcomes in the newborns, just short-term effects. Also, with rapid changes in computer technology, current CDSS are more advanced than those used in the three studies. The Cochrane review authors conclude that there is not enough data to determine whether or not CDSS are beneficial for newborn care \cite{bowen20102010}.