Current Challenge:
Accessing longitudinal real-world data in oncology for complex case correlation, building a data lake to speed up treatments insights, innovations and R&D.
Use Cases:
Enhance comprehension of the correlation between features derived from initial CT (Computed Tomography) scans and the response as well as outcomes in NSCLC (Non-Small Cell Lung Cancer), Pancreatic Cancer., etc. to optimize protocols and refine guidelines further
Effectively establish an external control arm with longitudinal patient data
Benefits of Segmed Solution:
Rapidly access de-identified patient datasets with high quality, curation speed and diversity sourced from over 1,000 sites on 5 continents
Store and process fully de-identified patient data, compliant with HIPAA
Data Overview
Patient demographics (age, gender, race, and ethnicity where available)
Chemo regimen & how many cycles
Radiation (yes/ no) & how many cycles
Response Evaluation Criteria in Solid Tumors (RECIST) outcomes, time to progression & time to death (if applicable)
Resection (yes/ no/ when)