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The Refresh With YES: CPT Eye Procedures Learning Path provides learners with highlights of eye surgery CPT codes, such as cataract extraction, retinal repair, vitrectomy, and Mohs surgery, divided into 14-29-minute webinars. This learning path goes in-depth on the anatomy of the eye and adnexa. Learners will also review CPT Guidelines, CPT Assistant instructions, and real-world coding scenarios for eye procedures.
The AMA CPT Editorial Panel has expedited the publication of two new CPT codes to document the latest in COVD-19 testing and medical services (AMA, 2020). These new Category I codes for COVID-19 supplies, services, and tests are available for review on the AMA’s Public Health Resource Center (AMA, 2020).
The Refresh With YES: Root Operations – Biopsy, Excision, & Resection Learning Path shows learners how to code ICD-10-PCS root operations procedures, such as biopsies, excisions, and resections, divided into 11-16-minute webinars. This learning path dives into the definitions and procedure examples of applicable root operation procedures. Learners will also review excision vs resection when coding lymph nodes. Applicable Coding Clinic articles and coding guidelines are reviewed.
Growing a ProFee coding department’s accuracy and quality can be a daunting task – especially if the healthcare organization doesn’t know where to start. Our team of accomplished HIM and medical coding experts has 20+ years’ experience in the industry and is ready to develop a ProFee Coding Quality Improvement Plan specifically tailored to each organization’s goals. Facilities or healthcare organizations that need help developing their ProFee coders should contact us today.
On average, organizations managed 9.70 petabytes (PB) of data in 2018; this is an explosive growth of 569 percent compared to the 1.45 PB managed two years prior (Dell Technologies, 2019). Healthcare organizations are no different, in fact, according to HIT Infrastructure (2019). Healthcare organizations have seen a health data growth rate of 878% since 2016, reaching 8.41PB on average by 2018. As you can imagine, it is physically impossible for a human to read through and analyze the tremendous amount of data collected. Healthcare organizations are rapidly turning to Artificial Intelligence (AI) and Natural Language Processing (NLP) to help collect, transform, understand, and drive decisions in a timely manner.
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