Listen "Can Automation Really Solve Coding Problems?"
Episode Synopsis
Shortages in experienced coding staff and coding accuracy are persistent challenges for many healthcare organizations. While medical coding is still too complex to be fully automated, learn which technologies available on the market today can help reduce errors and increase revenue.
Across the healthcare industry, coding error rates hover around 5%, resulting in significant revenue leakage. As staff continue to leave at record numbers, they take with them institutional knowledge and experience that exacerbates the issue. Can anything be done to reduce errors and capture lost revenue? While coding cannot be fully automated, technology can increase efficiencies. The question is, what type of technology, and where does AI fit, if at all?
Join us as Michelle Juette, RCC, Business Services Manager from Yakima Valley Radiology brings us real time information from the field and an honest assessment of the role of technology in coding today. Her extensive experience in the medical coding space will deliver first hand insights about what works and doesn't to improve coding success.
Across the healthcare industry, coding error rates hover around 5%, resulting in significant revenue leakage. As staff continue to leave at record numbers, they take with them institutional knowledge and experience that exacerbates the issue. Can anything be done to reduce errors and capture lost revenue? While coding cannot be fully automated, technology can increase efficiencies. The question is, what type of technology, and where does AI fit, if at all?
Join us as Michelle Juette, RCC, Business Services Manager from Yakima Valley Radiology brings us real time information from the field and an honest assessment of the role of technology in coding today. Her extensive experience in the medical coding space will deliver first hand insights about what works and doesn't to improve coding success.
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