Past decade has witnessed significant advancements in the field of radiomics and radiogenomics. Novel technical platforms, data-processing pipelines, and feature analysis toolkits for essential tasks such as image segmentation, shape and texture analysis, disease identification and classification, outcome prediction, etc., are becoming increasingly available. Efforts in translating the novel techniques into clinical practice are being made across various disease sites. In this chapter and the rest of chapters of this section, focus will be on the use of radiomics and radiogenomics tools to tackle clinical problems. While it is practically impossible to cover all applications appeared in the literature, a variety of representative examples will be summarized. Specific in this chapter, we will discuss current clinical workflow of patient management with emphasis focused on issues critical to the translation of the omics-techniques. A few use cases in the workflow will be presented to exemplify the potential utilities of the emerging quantitative imaging and omics-techniques. The reference drawn from this chapter is that seamless incorporation of radiomics and radiogenomics information into clinical workflow is challenging but critically important to the future of patient care and represents a significant step in individualized medicine. Given the successful indications and enormous potential of the omics-tools, it is foreseeable that clinical radiomics/radiogenomics will find widespread applications in the not-too-distant future, and the results from a high throughput extraction of disease features, combined with clinical, laboratory, genomic, and epigenetic data, may well be part of standard of practice for improved diagnosis and prognosis.