AI in Medical Coding Market Analysis

  • Report ID: 6493
  • Published Date: Oct 01, 2024
  • Report Format: PDF, PPT

AI in Medical Coding Market Analysis

Mode (Outsourced, In-house)

Outsourced segment is anticipated to hold AI in medical coding market share of over 63.8% by the end of 2037. Medical coders with certification and experience working for outsourcing companies are knowledgeable about the most recent rules and guidelines. Higher coding accuracy and compliance are ensured by this experience, which is essential for accurate invoicing and regulatory compliance. Furthermore, without being constrained by workforce levels, outsourcing enables healthcare organizations to quickly scale up or down their coding operations in response to demand. This flexibility helps to drive segmental growth because it is especially useful at busy times or when dealing with abrupt spikes in patient volumes.

Healthcare providers can take advantage of AI-driven coding benefits without having to make the initial financial investment by contracting with specialized vendors for medical coding services. It offers affordable options, particularly for smaller medical facilities. In addition to relieving internal workers of coding responsibilities, outsourced coding services may quickly integrate AI technology, guaranteeing code correctness, scalability, and compliance. This strategy makes outsourcing a desirable option in the developing field of AI in medical coding since it helps healthcare organizations simplify their processes, cut expenses, and concentrate on core healthcare responsibilities.

End use (Healthcare Providers & Diagnostic Centers, Insurance Companies, Medical Coding Companies, Government Bodies)

In AI in medical coding market, healthcare providers & diagnostic centers segment is projected to hold revenue share of more than 44.9% by 2037 due to its essential role in putting these technologies into practice and reaping their benefits. Healthcare organizations, such as clinics, hospitals, and medical centers, are eager to increase revenue cycle management, decrease coding errors, and improve operational efficiency. By using AI in medical coding, they can guarantee accurate code assignments, speed up billing processes, and simplify the coding process. This is a major factor in the industry's adoption of AI since it not only saves money and generates more income but also enables healthcare professionals to refocus their energies on providing better patient care.

Our in-depth analysis of the AI in medical coding market includes the following segments:

Mode

  • Outsourced
  • In-house

Application

  • Automated Coding
  • Fraud and Error Detection
  • Data Analysis

End use

  • Healthcare Providers & Diagnostic Centers
  • Insurance Companies
  • Medical Coding Companies
  • Government Bodies
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Browse Key Market Insights with Data Illustration:


Author Credits:  Radhika Pawar


  • Report ID: 6493
  • Published Date: Oct 01, 2024
  • Report Format: PDF, PPT

Frequently Asked Questions (FAQ)

The AI in medical coding market size was USD 3.1 billion in 2024.

The global AI in medical coding market size was US 3.1 billion in 2024 and is likely to reach USD 16.6 billion by the end of 2037, expanding at a CAGR of 13.9% over the forecast period, i.e., 2025-2037.

3M, AGS Health, Aidéo Technologies, aiHealth, Arintra, Buddi AI, Clinion, CodaMatrix, Corti HQ are some key players in the market.

The outsourced segment is expected to hold a leading share during the forecast period.

North America is projected to offer lucrative prospects with a share of 54.5% in 2025.
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