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\section{Related Work}  It actually integrated Decision Support Systems (DSS) into their day to day operating activities. Decision Support Systems are a class of computerized information system that supports decision-making activities. It is an interactive computer-based systems and subsystems intended to help decision makers use communication technologies, data, documents, knowledge and/or models to complete decision process tasks. When DSS is used effectively, they may improve the quality of the diagnostic process in accuracy and efficiency. Making an update on patients’ health information, and giving accurate prescriptions will be more strategic. Also, chosen users (e.g. physicians, medical staff, and patients) can access the information they need without hassle. CDSS has included the impact of the system on the quality of decision making, impact on clinical actions, usability, integration with workflow, and the quality of clinical advice offered.  One theory that prompted this research on how patients are being diagnosed that leads to misdiagnosis or giving a delayed diagnosis by the doctor.  A number of fetal injuries can be caused by medical malpractice; including brain injuries (such as cerebral palsy and seizure disorders), fractured bones, and erb's and klumpke's palsy (damage to nerves that control the arms and hands). However, keep in mind that these injuries are more often caused by something other than medical malpractice (Michon, Kathleen 2016).   A physician or obstetrician's negligence can happen during childbirth or long before.  \textbf{Negligent prenatal care.} If negligent medical treatment is provided during the pregnancy, it could harm the fetus or the mother (or both). Some examples of negligent prenatal care include the physician or obstetricians:  \begin{itemize}  \item failure to diagnose a medical condition of the mother, such as preeclampsia, Rh incompatibility, hypoglycemia, anemia, or gestational diabetes  \end{itemize}  \begin{itemize}  \item failure to identify birth defects  \end{itemize}  \begin{itemize}  \item failure to identify ectopic pregnancies, or  \end{itemize}  \begin{itemize}  \item failure to diagnose a disease that could be contagious to the mother's fetus (such as genital herpes or neonatal lupus).  \end{itemize}  \textbf{Negligence during childbirth.} A doctor's negligence during childbirth could cause injury to the baby and harm to the mother. Common medical errors during childbirth include the physician or obstetricians:  \begin{itemize}  \item failure to anticipate birth complications due to the baby's large size or because the umbilical cord got tangled  \end{itemize}  \begin{itemize}  \item failure to respond to signs of fetal distress  \end{itemize}  \begin{itemize}  \item failure to order a cesarean section when one was appropriate, or  \end{itemize}  \begin{itemize}  \item incompetent use of forceps or a vacuum extractor.   \end{itemize}  Therefore, further study helps us understand how to improve the quality of medical decisions at the time and place that these decisions are made. The specific objectives of this study is to develop a better Clinical Decision Support System that will provide guidelines through which the physicians can model their decisions, and to create decision support system that can lead to a reduction of the practice pattern variation that plagues the healthcare delivery process. The dynamic environment surrounding patient diagnosing complicates the process of diagnosis due to the numerous variables in play, such as individual patient circumstances, the location, time and physician’s previous experiences. A clinical decision support system aims to reduce the effects of these variables.  In addition, misdiagnosis will be eliminated due to the Decision Support System which will output the exact interpretation based on the diagnoses done from the patient. The study mainly focused on the development of decision-making in pediatrics and electronic prescribing (e-prescribing) which generated an intelligent interpretation of the diagnoses and prescribe the best treatment as an action plan for the patients (such as newborn babies up to 21 years of age).   Clinical Decision Support Systems (CDSS) has several definitions, one of which is:  Any piece of software that takes as input information about a clinical situation and that produces as output inferences, that can assist practitioners in their decision making and that would be judged as intelligent by the program’s users (Musen, 1997).  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 (OpenClinical 2000).  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 (NLM 2001). 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 (Coiera, 1997).  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 (Carlo 1986; Snowden, 1997) and in prescriptions, for example of parenteral nutrition solutions (Ball, 1985). Systems have also been used for the prediction of length of inpatient stay (Zernikow, 1999) as well as prognosis of respiratory distress syndrome (Hermansen, 1987). These systems were generally reported to have beneficial effects on neonatal care.  Any information system, including CDSS, ought to be systematically evaluated before being introduced for patient care (Wyatt, 2000). The use of randomized controlled trials for evaluation of CDSS has been questioned. It was thought that, in a fast changing environment, other approaches to evaluation might also be required (Mowatt, 1997). Other pertinent issues are that CDSS may influence the behavior of a physician, which then carries over when treating control patients (contamination of the control group) and it is sometimes impossible to blind patients and staff to the presence of a CDSS (Randolph, 1999).   A number of CDSS have been successfully evaluated using the randomized controlled trial design (Wyatt, 1990). 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 (Hunt, 1998). Although there are general reviews on the use of CDSS in pediatrics, like the effect of CPOE on prescribing (Kaushal, 2001), there are no systematic reviews on the effects of CDSS on care of newborn infants.