Why are so many AKI records being denied? It’s hard to give one answer for why so many AKI records are being denied lately, but most appear to be due to the multiple sets of criteria available for use in determining if a patient has AKI, as well as physician documentation. As stated in Part 3 of this series, there are three main criteria/classifications used to diagnose AKI.
In previous parts of this series we looked at the definitions of AKI/ARF, causes, coding and sequencing, and the common clinical indicators that patients present with that are diagnosed with this condition. In Part 4, we will look at the documentation that should be present to report the diagnosis without fear of denial, as well as when a query is needed to clarify the diagnosis.
In the first parts of this series we looked at definitions of AKI/ARF, causes, coding and sequencing. In Part 3, we will look at what clinical indicators would possibly be present to support the diagnosis of AKI/ARF.
As discussed in Part 1 of this series, AKI/ARF is a common diagnosis that coders see daily. In Part 2, we are going to focus on the different types/specificity of AKI/ARF. We’ll learn what they mean, as well as how to code the diagnosis.
This is part 1 in a series focused on coding of acute kidney injury (AKI) and/or acute renal failure (ARF). AKI/ARF is reported often, but is also one of the most common diagnosis found in denials.
This is the final part of a three part series in which we address how coders can better interact with Clinical Documentation Improvement (CDI) professionals. In this part, we provide an actual example of an effective communication response to CDI.
This is part two of a three part series in which we address how coders can better interact with Clinical Documentation Improvement (CDI) professionals. In this part, we discuss mismatches and how to best go about resolving them. In part three we will provide a case example of best practice interaction.
This is part one of a three part series in which we address how coders can better interact with Clinical Documentation Improvement (CDI) professionals. Many times these departments are separate and the remote environment makes it difficult to interact efficiently between the two departments. In part one, we will discuss the history and objectives of CDI so the coder has a better understanding of CDI’s role.
Why are so many AKI records being denied? It’s hard to give one answer for why so many AKI records are being denied lately, but most appear to be due to the multiple sets of criteria available for use in determining if a patient has AKI, as well as physician documentation. As stated in Part 3 of this series, there are three main criteria/classifications used to diagnose AKI.
In previous parts of this series we looked at the definitions of AKI/ARF, causes, coding and sequencing, and the common clinical indicators that patients present with that are diagnosed with this condition. In Part 4, we will look at the documentation that should be present to report the diagnosis without fear of denial, as well as when a query is needed to clarify the diagnosis.
In the first parts of this series we looked at definitions of AKI/ARF, causes, coding and sequencing. In Part 3, we will look at what clinical indicators would possibly be present to support the diagnosis of AKI/ARF.
As discussed in Part 1 of this series, AKI/ARF is a common diagnosis that coders see daily. In Part 2, we are going to focus on the different types/specificity of AKI/ARF. We’ll learn what they mean, as well as how to code the diagnosis.
This is part 1 in a series focused on coding of acute kidney injury (AKI) and/or acute renal failure (ARF). AKI/ARF is reported often, but is also one of the most common diagnosis found in denials.