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Epic /Radiant optimization

Abundant clinical information resides in Epic. However, accessing pertinent patient data in a streamlined fashion remains elusive to the practicing radiologist because it is both frustrating and time consuming. Yet, this must be done to ensure optimal study protocoling, Clinical decision support as well as image interpretation.


Mychart for YDR

The wide utilization of MyChart based Telehealth visits during the Covid pandemic, MyChart utilization has increased to an unprecedented 70% utilization rate. Currently unknown are the levels of satisfaction and any behavioral changes that have resulted from this initiative. It would be important to review the effects and this program and whether adjustments in timing, report release, and options for additional patient engagement should be undertaken.

Image nomenclature and clinic-based preference lists

Generic descriptors of image tests make difficult for providers to select the right study for a specific indication; as a result, as many as 5% of MRI orders and 3% of all CT orders get changed through a resource intensive process. New disease specific orders in clinic preference lists will facilitate selection of appropriate study, increase accuracy of CDS modules and increase provider satisfaction.

AI-enabled protocols
Currently the onus of ensuring appropriate imaging protocol falls on highly trained radiologists, including fellows and attendings, whose time could be better spent on higher value work. An AI-enabled model to automate high priority modalities, such as Neuro and MSK imaging will be prioritized.

AI-enabled clinical decision support

To further address the Medicare mandate for appropriate use, we will implement new AI-enabled tools developed by Care Select that can survey a patient’s prior imaging studies, review the current clinical question, and subsequently suggest the appropriate imaging modality.

One click protocols project

Working to optimize protocol templates to minimize the number of clicks for radiologists who protocol studies. Also working with the department quality and safety group to reduce the total number of studies that need to be protocoled.

Simplifying imaging orders

Working to simplify orders by using dynamic order questions to drive downstream workflow. Ultimately this project may reduce the number of imaging codes that are needed at Yale Diagnostic Radiology.

Improving follow-up documentation

As part of the Y-note project, radiologists will have access to follow-up imaging recommendations as part of the imaging dashboard.