For the last several decades we’ve been working on imaging informatics. Imaging 3.0 is the convergence and payoff for all of this hard work. There’s actually a broad consensus about the elements of an ideal end-state for imaging informatics. The key elements of this ideal end-state include frictionless versions of all of the key steps in the imaging value chain. And frictionless is the key word here. We’re talking about: Appropriateness Determination and Patient Scheduling, Imaging Protocol Optimization, Imaging Modality Operations, Interpretation and Reporting, And Communication back to the Referring Physician and the Patient. In addition to care delivery, this covers the ongoing learning enabled by Data Mining and Business Intelligence. Look, no one is saying that this is going to be an easy transition. But for the first time, we believe that all the pieces are beginning to fall into place to make this possible. And one of the major reasons for it is that you all have demanded it from radiology, which is a good thing. Now we’re to talk about some of the IT tools applied to each of these steps and look at some case studies. Slide 43
For the last several decades we’ve been working on imaging informatics. Imaging 3.0 is the convergence and payoff for all of this hard work. There’s actually a broad consensus about the elements of an ideal end-state for imaging informatics. The key elements of this ideal end-state include frictionless versions of all of the key steps in the imaging value chain. And frictionless is the key word here. We’re talking about: Appropriateness Determination and Patient Scheduling, Imaging Protocol Optimization, Imaging Modality Operations, Interpretation and Reporting, And Communication back to the Referring Physician and the Patient. In addition to care delivery, this covers the ongoing learning enabled by Data Mining and Business Intelligence. Look, no one is saying that this is going to be an easy transition. But for the first time, we believe that all the pieces are beginning to fall into place to make this possible. And one of the major reasons for it is that you all have demanded it from radiology, which is a good thing. Now we’re to talk about some of the IT tools applied to each of these steps and look at some case studies. Slide 43
Speaker-Toolkit--Imaging-30-External-Stakeholders.docx