In the field of Radiation Oncology, clinical decision support has at least three main applications:
- The pre-planning prediction of dosimetric tradeoffs to assist physicians, patients and payers alike to make better informed decisions about treatment modality and dose prescription.
- The integration of dosimetric information with orthogonal data (e.g. genomics, imaging, EMR) to build accurate outcomes models of Tumor Control Probability (TCP) and Normal Tissue Complication Probability (NTCP).
- Radiomics, which is a branch of medical imaging analytics that relies upon primary extraction of quantitative imaging features (e.g. texture) to predict various clinical phenomena.