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| Medicine and Sciences | Operations | Regulatory and Access to market |
| IMPACTS | ||
| Quality of data: Lower variability and bias across readers | Simplified, automated and standardized seamless workflow | Quality of data presented to Health Authorities and Payers |
| Enhanced imaging criteria: Development of Advanced Imaging Biomarkers | Near real time information | Development of new Imaging Biomarkers that can themselves turn into additional claims. |
| Project management: Near real time information | Simplified reading process | |
| IT infrastructure for Data Mining | ||
| BENEFITS | ||
| Personalized diagnostics: Better evaluation of the drug candidate / new therapeutic strategy efficacy. Improved go/no go decisions | Time saving due to a reduction of administrative activities and better Management of Data workflow from sites to Central Data Base | More robust value dossier to support approval from Health Authorities whether fast track or standard processes |
| Increased reliability of the quality of the imaging data to support regulatory filings. | Reduction of missing, lost or incomplete data leading to stringer statistical power and reduction of number of patients to enroll | Supportive evidence to Pricing and reimbursement committees |
| Faster data allow better patient monitoring and coordination between sponsor and sites | Full transparency over project activities : near real time information, rapid feed –backs to the sites. | Direct access to retrospective data set to perform additional analysis for therapy assessment |
| Adaptive designs allowing less patients, faster data lock | Decentralized process (ie. Without central readings and adjudications) leads to immediate cost saving | |