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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{enumerate}  \item  failure to diagnose a medical condition of the mother, such as preeclampsia, Rh incompatibility, hypoglycemia, anemia, or gestational diabetes • \end{enumerate}  \begin{enumerate}  \item  failure to identify birth defects • \end{enumerate}  \begin{enumerate}  \item  failure to identify ectopic pregnancies, or • \end{enumerate}  \begin{enumerate}  \item  failure to diagnose a disease that could be contagious to the mother's fetus (such as genital herpes or neonatal lupus). \end{enumerate}\begin{itemize}  \item   \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.