The functioning of healthcare practice can not be imagined without the tools of support during the medical decision-making process. Supporting systems during decision-making processes are based on scientific evidences. In everyday work, healthcare staff are dealing with a large qauantity of informations and data that is useful in making-decisions during therapeutic and diagnostic procedures. It is often necessary to make the decisions crucial for the patients life quickly, where by the supporting systems in the decision-making processes are of great value in healthcare. According to the research of prediction made by the resuscitation teams about successful outcomes of cardiopulmonary resuscitations (CPR) in hospital-settings, the accuracy of their prediction was estimated around 50%. In order to increase the accuracy of outcome prediction, GO-FAR (Good outcomes following attempted resuscitation) predictive model has been developed. According to this model, the final outcomes of in-hospital resuscitation depend on factors related to the patients characteristics, the patient's environment and the persistence of the resuscitation team during the resuscitation procedure. There is a need for the development and practical application of a generally accepted model to evaluate predictive factors of (un)favorable outcome of CPR in specific conditions in our hospitals. Such model would help to reconcile the uneven views on the minimum time required to carry out CPR procedures. Assessing which patient is a good candidate for a favorable CRP outcome is not reliable in practice, especially with an unexperienced resuscitation team. Unrealiable assessment of patients who are not expected to have a favorable outcome of resuscitation after cardiac arrest makes it difficult to make a decision whether to proceed with CPR or to discontinue it. The aim of this research is to outline the most important factors associated with favorable outcomes of in-hospital resuscitation in adults. Data on possible predictive factors related to survival with good neurological outcome after CPR would be collected and processed by searching recently published literature relating to in-hospital CPR. Particular consideration would be given to the application of the GO-FAR predictive model and its importance in clinical practice, especially its application in Croatian hospitals.