PODCAST: Better Management of Veteran Diagnostic Orders

In the following Sage HMS podcast interview, Dr. Katherine Gray, President and Founder of Sage HMS, discusses the recent issue of VA canceled radiology orders, and provides insights into how care organizations can best leverage qualified Clinical Decision Support Mechanisms (qCDSM).

The recent news about more than 250,000 radiology orders being canceled at Veteran Affairs hospitals nationwide creates many questions, and the headlines don’t often tell the full story. For example, it’s not clear what proportion of the total orders this represents for the VA, why these orders were actually cancelled, and how many orders were actually duplicates.

However, this news points to the need for better decision-making that starts at order submission. A qCDSM can provide appropriate recommendations that are symptom driven and evidence-based – helping to reduce overall diagnostic errors. This is the best way to ensure quality care that is aligned with appropriate use criteria (AUC) recommendations.

For example, Sage HMS RadWise solution gives providers the ability to consult robust, evidence-based knowledge for diagnostic imaging and receive AUC recommendations. The solution also helps providers gain access to complete diagnostic information at the time and point of care, reduces inappropriate orders and meets claim requirements.

Here are the highlights from this interview:

·         Why we need more information about the recent cancellation of radiology orders at Veteran Affairs hospitals. (:22)

·         Insights into how care organizations need an AUC to determine more about why the orders were cancelled. (2:32)

·         Insights into the CMS AUC program, and why diagnostic appropriateness is so important. (5:25)

·         More about the Sage HMS RadWise solution. (7:32)

·         Insights into a new grant that will focus on how to improve the ordering of diagnostic procedures (8:44)


If you would like more information about how Sage HMS can help your facility leverage evidence-based knowledge for diagnostic imaging to meet the new CMS regulations, please contact us here.