My specialty is bridging the gap between clinical knowledge and digital system functionality. To fully leverage decision support in any electronic clinical system, you must have an understanding of the medical knowledgebase and clinical workflows bundled with a detailed technical understanding of what your electronic systems can do. In the past, ICD and CPT codes dictated reimbursement. If good quality resulted, that was a bonus but it was not the prime directive. However, the paradigm will shift. Quality and resource utilization will be King. Specifically, the quality story told by data will be King. Just saying that your organization has good quality will be insufficient. Your story is irrelevant if your data doesn't tell the same story. The difficulty is that insertion of discrete data elements into the clinical workflow to tell a data story often requires odd, cumbersome workarounds. However, there are ways to build decision support that won't drive your clinicians crazy. Moreover, even if you can create the data, unlocking hidden truths out of masses of clinical information can be even more difficult. Likewise, to extract the story that one wants to tell, one needs to couple an organization's reporting and analytical needs with knowledge of the data infrastructure. However, data specialists often don't understand clinical needs or workflows. Clinical operational staff often don't understand how data is collected and stored. As a skilled clinical informatician, I can close this virtuous loop and relate operational needs to the data team and the technical capabilities back to the clinical staff.