“…Based on and derived from this information, cost drivers can preferably be identified, and a cautious and gentile long-term optimization process can be induced towards a care-to-reimbursement adjustment. Over the years a variety of successful projects have evolved among them; optimizing chemotherapy reimbursement with reduction of oncological pharmaceutical costs by over 83% in just 2 years without changing quality of care [26,27,28], comparison of different chemoregimen [29], process analysis to discover mistakes in ordering, cost attribution, documentation, coding and billing for out-patient chemotherapies [30], prospective analysis of cost and reimbursement for participation in clinical trials [31], identification of off-label status for pharmaceuticals which are not reimbursed by statutory healthcare funds [32], analysis of costs and financial risks of expensive breast implants at 90% under-reimbursed in immediate breast reconstruction after mastectomy [33], prospective study of provider's costs of chemotherapy-related complications such as febrile neutropenia [34] and analysis and optimization of their correlating DRG reimbursement [35], prospective calculation of direct medication cost savings by biomarkers for avoiding chemotherapy in breast cancer at medium relapse risk [36], purchase and contract adjustments for reduction of costs of expensive breast ultrasound equipment to actual clinical needs [37], and identifying unexplainable reimbursement differences of mastectomy between prophylactic BRCA1/BRCA2 and breast cancer patients [38]. Even concordance of biomarker test results to Tumor Board decisions and final therapy can result in economic effects which can be used to optimize cost for their application [39].…”