The aim of healthcare sector is to provide safe, efficient, and high- quality patient care in a cost-effective way. Thus, automated systems are in demand for clinical as well as administrative purposes. Clinical decision support system (CDSS) is such an automated application that analyses data, to help clinicians in making decisions for improving patient care. People know that, nurses are the assisted service providers to in-patients and emergency care units in every hospital or clinical department. In spite of a pretty big work and working hours, nurses have to take decisions some times during doctor’s absence. Lack of nursing expertise during their preliminary career stages or physical tiredness due to overwork, many times wrong decisions would be made from nurse's end. As they are the direct contact point for every in-patient, development of specific decision support systems for nurses is highly relevant. Even though many CDSS have been created for doctors, now developed countries are promoting researchers for investigating and designing nurse's decision support system (NDSS). That awareness about the need and application of specific NDSS in India, is the motivation of our ongoing research work. Designing specific NDSS could improve the nurse's service, and thus socio economic importance. This paper mainly focuses on existing decision support system for nurses from previous 7 years, and to review about it. The research objective is to, solve specific barriers by investigating on advanced-applied intelligence techniques. Thus in the coming future, we would be able to develop specific NDSS on real data with the help of domain experts.