AI in Medical Coding Market Soars: 2023-2030 Trends Report
The global AI in medical coding market is poised for substantial growth, projected to reach USD 5.71 billion by 2030, with a notable compound annual growth rate (CAGR) of 13.7% from 2023 to 2030. The adoption of artificial intelligence (AI) in medical coding is driven by the increasing complexity of healthcare coding processes. The surge in healthcare data volume necessitates advanced technologies to streamline and automate coding operations. AI offers a powerful solution, capable of analyzing extensive datasets, identifying intricate patterns, and accurately assigning codes, enhancing operational efficiency and reducing billing errors.
The COVID-19 pandemic has transformed the AI in medical
coding industry, with the influx of healthcare data and the need for
streamlined processes driving rapid AI adoption. The shift to remote work and
the rise of telehealth services have further emphasized the demand for AI in
medical coding. The technology allows remote access and analysis of medical
records, accommodating pandemic-induced changes. Automated medical coding
offers multiple benefits, including improved efficiency, accuracy, and revenue
cycle management.
Key players are introducing innovative solutions to stay
competitive. For instance, Diagnoss launched an AI
assistant that detects coding errors in real time. AGS Health introduced an AI
platform for revenue cycle management and medical coding. The outsourced
segment dominates the market, driven by healthcare providers outsourcing to
reduce costs and streamline workflows. North America holds the majority share
due to technological advancements and improved healthcare infrastructure.
Comments
Post a Comment