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Can Publicly Available Artificial Intelligence Successfully Identify Current Procedural Terminology Codes for Common

Geoffrey R O'Malley1, Syed A Sarwar2, Nicholas D Cassimatis1

  • 1Department of Neurosurgery, Hackensack Meridian School of Medicine, Nutley, New Jersey, USA.

World Neurosurgery
|January 14, 2024
PubMed
Summary

Publicly available artificial intelligence (AI) shows promise in assisting neurosurgeons with complex procedure coding. AI platforms demonstrated higher accuracy than Google in identifying Current Procedural Terminology (CPT) codes and Revenue Value Units (RVU).

Keywords:
Artificial intelligenceBillingNeurosurgery

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Area of Science:

  • Neurosurgery
  • Medical Coding
  • Artificial Intelligence

Background:

  • Neurosurgical procedure coding is intricate and subject to annual changes in codes and modifiers.
  • Accurate coding is crucial for operational efficiency and financial reimbursement in neurosurgical practices.

Purpose of the Study:

  • To evaluate the efficacy of publicly available artificial intelligence (AI) in assisting neurosurgeons with procedure coding.
  • To compare the accuracy of AI platforms against traditional search engines for neurosurgical coding tasks.

Main Methods:

  • Multiple AI platforms and Google were queried for Current Procedural Terminology (CPT) codes and Revenue Value Unit (RVU) values for common brain and spine neurosurgical procedures.
  • AI-generated codes and RVUs were compared against valid CPT codes and potential RVU gains.

Main Results:

  • AI platforms achieved higher accuracy in identifying CPT codes for endovascular (70%), spinal (55%), and cranial (75%) procedures compared to Google (25%).
  • Top AI performers successfully obtained a significant percentage of potential RVUs for various neurosurgical procedures.
  • AI platforms demonstrated superior average accuracy (45%) over Google (25%) in neurosurgical coding tasks.

Conclusions:

  • Publicly available AI holds significant potential for improving neurosurgical coding accuracy and efficiency.
  • Future AI development should prioritize enhanced accuracy and the inclusion of supporting documentation for coding decisions.
  • Advancements in AI capabilities can lead to substantial operational efficiencies and cost savings for neurosurgical practices.