Although simple, the two examples cited in the previous paragraph provide evidence of the socioeconomic impacts of scientific computing in medicine. Reducing invasive manipulation and consequent risks for the patient while reducing costs of the procedures associated with the treatment (for example, decreasing the length of surgery) and the time of hospitalization (which, among other things, decreases the possibility of hospital infections), can contribute to a better quality of life for patients. Finally, the information explosion, specifically patient-specific biological data, through methodologies that developed at a quick pace in the last ten years such as genomics, proteomics and metabolomics are promising towards introducing a revolution in medicine by anticipating the disease and provide an effective and rational treatment. The integration of these data and the construction of new algorithms represent a challenge and one of the forefront scientific activities of the INCT-MACC, seeking to produce an impact and reengineer the evolution of Health Systems.

The use of scientific and technological innovations in the medical field entails new challenges with regard to the HR and its continuous updating in view of the short time interval that currently exists between scientific development and its corresponding technological implementation. This concern is present among researchers that constitute the INCT-MACC team. Thus, these innovations are also aimed to contribute to the education and professional training at all levels in healthcare, as well as in other areas involved. In this sense, several of the participating institutions have graduate programs (including programs of multidisciplinary character, as in the case of the LNCC/MCTI) that contribute to meet these requirements for HR in various subjects related to Medicine Assisted by Scientific Computing.