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Back in 2022, The University of Arkansas for Medical Sciences (UAMS) had a sophisticated CDI team by all accounts. But the complexities of CDI? Exponentially growing. Even with the best team in place, it was virtually impossible to review every data point of every chart. Terri Meier, Assistant Vice Chancellor Revenue Cycle for UAMS, knew that to capture every quality and revenue opportunity on the table, she would need to adopt clinical AI.
Get this case study to:
- Learn how UAMS shifted the workload for their CDI team, allowing them to do more with less and practice at the top of their licenses.
- Discover how clinical AI helped UAMS adopt a net new revenue stream that amounts to $5.3M annually.
- Uncover other ways clinical AI is helping hospital teams succeed financially and operationally.
.jpg)
Back in 2022, The University of Arkansas for Medical Sciences (UAMS) had a sophisticated CDI team by all accounts. But the complexities of CDI? Exponentially growing. Even with the best team in place, it was virtually impossible to review every data point of every chart. Terri Meier, Assistant Vice Chancellor Revenue Cycle for UAMS, knew that to capture every quality and revenue opportunity on the table, she would need to adopt clinical AI.
Get this case study to:
- Learn how UAMS shifted the workload for their CDI team, allowing them to do more with less and practice at the top of their licenses.
- Discover how clinical AI helped UAMS adopt a net new revenue stream that amounts to $5.3M annually.
- Uncover other ways clinical AI is helping hospital teams succeed financially and operationally.