Assisted prescription based on successful treatments

Medical practice is more and more based on electronic healthcare records. Big data and great amount of information drive medical staff to use decision support software to support their activities. The paper presents a software solution in this area, collecting a set of successful treatments from diverse medical software, based on tested treatments related to illness that makes suggestions to other physicians in likewise cases. The suggested treatments is verified with the characteristics of the patient if is compatible. Based on this application the physicians may use tested treatments that have good results. In order to collect a great diversity of cases and situations from as many applications as possible the technological solution is based on Cloud Computing. We expect physicians to be more confident and to relate better to the application because the suggested treatments are given mainly by physicians and are not a result of an algorithm.