Case Study: Flexibility and Minimalist Approach are Keys to Meeting Appropriate Use Criteria (AUC)

Large, Multi-State Health System Shares PAMA Implementation Experience


A large, multi-state health system was challenged with choosing a solution to achieve the Protecting Access to Medicare Act of 2014 (PAMA) compliance, which requires that all advanced imaging services meet the appropriate use criteria (AUC) with a fully qualified Clinical Decision Support Mechanism (CDSM) to comply with the mandate.1

“We introduced another PAMA solution that was not well received by the ordering providers. They were unhappy with the user interface, the volume of inquiries and the complexity of the data entry,” said Mark Binstock, Chief Medical Information Officer at the large, multi-state health system.

There were a lot of moving parts and some major challenges in trying to satisfy the PAMA mandate in a way that was acceptable to ordering providers. The organization was looking for flexibility and a minimalist approach.2 The Stanson Clinical Decision Support (CDS) tool, backed by artificial intelligence (AI), natural language processing (NLP) and machine learning (ML), was designed to help meet the PAMA mandate, was easy to implement and was helpful to providers.3

Download our free case study to learn more about why this organization transitioned to Stanson’s PAMA.


References:
1 Appropriate Use Criteria Program (August 2020) available at: https://www.cms.gov/Medicare/Quality-Initiatives-Patient-Assessment-Instruments/Appropriate-Use-Criteria-Program. Accessed: Aug. 17, 2020.
2 Based on interview with Dr. Mark Binstock at large, multi-state health system on October 7, 2020.
3 Ibid.

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