Big data and predictive analytics have immense potential to improve risk stratification, particularly in data-rich fields like oncology. Careeva’s oncology data platform characterizes evidence-based use cases of predictive analytics in oncology into three distinct fields: (1) population health management, (2) radiomics, and (3) pathology. Our oncology solution highlight promising future use cases of predictive analytics in clinical decision support and genomic risk stratification.
Our Oncology module can help you in following ways:
- In computational capacity and machine learning that will lead to well-publicized breakthroughs in clinical risk stratification.
- Our improving risk stratification models in oncology can push toward more patient-centric care.
- Our predictive analytics in population health management, radiomics, and pathology interpretation are potentially generalization in oncology practice.
- Our Predictive analytic tools can make inroads in routine clinical decision support and genomic risk stratification.
- We can help you in comprehensive data acquisition.