Pierpaolo Mincarone1, Antonella Bodini2, Saverio Sabina3, Riccardo Colella3, Maria Rosaria Tumolo1, Martin Fawdry4, Dimitrios I Fotiadis5,6, Carlo Giacomo Leo3. 1. National Research Council, Institute for Research on Population and Social Policies, Research Unit of Brindisi, Brindisi. 2. National Research Council, Institute for Applied Mathematics and Information Technologies "Enrico Magenes", Branch of Milan, Milan. 3. National Research Council, Institute of Clinical Physiology, Branch of Lecce, Lecce, Italy. 4. Boston Scientific Ltd., Galway, Ireland. 5. Unit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina. 6. Institute of Molecular Biology and Biotechnology of the Foundation for Research and Technology Hellas, Department of Biomedical Research, Ioannina, Greece.
Abstract
BACKGROUND: In silico medicine allows for pre-clinical and clinical simulated assessment of medical technologies and the building of patient-specific models to support medical decisions and forecast personal health status. While there is increasing trust in the potential central role of in silico medicine, there is a need to recognize its degree of reliability and evaluate its economic impact. An in silico platform has been developed within a Horizon 2020-funded project (In-Silc) for simulations functional to designing, developing, and assessing drug-eluting bioresorbable vascular scaffolds.The main purpose of this study was to compare the costs of 2 alternative strategies: the adoption of In-Silc platform versus the performance of only physical bench tests. METHODS: A case study was provided by a medical device company. The values of the model parameters were principally set by the project partners, with use of interviews and semi-structured questionnaires, and, when not available, through literature searches or derived by statistical techniques. An economic model was built to represent the 2 scenarios. RESULTS: The InSilc strategy is superior to the adoption of physical bench tests only. Ceteris paribus, the costs are 424,355€ for the former versus 857,811€ for the latter. CONCLUSIONS: In silico medicine tools can decrease the cost of the research and development of medical devices such as bioresorbable vascular scaffolds. Further studies are needed to explore the impact of such solutions on the innovation capacity of companies and the consequent potential advantages for target patients and the healthcare system.
BACKGROUND: In silico medicine allows for pre-clinical and clinical simulated assessment of medical technologies and the building of patient-specific models to support medical decisions and forecast personal health status. While there is increasing trust in the potential central role of in silico medicine, there is a need to recognize its degree of reliability and evaluate its economic impact. An in silico platform has been developed within a Horizon 2020-funded project (In-Silc) for simulations functional to designing, developing, and assessing drug-eluting bioresorbable vascular scaffolds.The main purpose of this study was to compare the costs of 2 alternative strategies: the adoption of In-Silc platform versus the performance of only physical bench tests. METHODS: A case study was provided by a medical device company. The values of the model parameters were principally set by the project partners, with use of interviews and semi-structured questionnaires, and, when not available, through literature searches or derived by statistical techniques. An economic model was built to represent the 2 scenarios. RESULTS: The InSilc strategy is superior to the adoption of physical bench tests only. Ceteris paribus, the costs are 424,355€ for the former versus 857,811€ for the latter. CONCLUSIONS: In silico medicine tools can decrease the cost of the research and development of medical devices such as bioresorbable vascular scaffolds. Further studies are needed to explore the impact of such solutions on the innovation capacity of companies and the consequent potential advantages for target patients and the healthcare system.
Authors: Carlo Giacomo Leo; Maria Rosaria Tumolo; Saverio Sabina; Riccardo Colella; Virginia Recchia; Giuseppe Ponzini; Dimitrios Ioannis Fotiadis; Antonella Bodini; Pierpaolo Mincarone Journal: Int J Environ Res Public Health Date: 2022-01-28 Impact factor: 3.390