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市场调查报告书
商品编码
1573852

医疗编码市场中的人工智慧、机会、成长动力、产业趋势分析与预测，2024-2032

AI in Medical Coding Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032
出版日期: | 出版商: Global Market Insights Inc. | 英文 100 Pages | 商品交期: 2-3个工作天内

价格
简介目录

全球人工智慧医疗编码市场估值为24 亿美元，预计2024 年至2032 年复合年增长率为13.6%。以及编码资料激增。

医疗编码系统的复杂性不断增加，加上高流动率和漫长的培训过程，导致熟练的医疗编码员明显短缺。这种差距会产生明显的影响，医院和诊所会遇到计费延迟和不准确的情况。美国健康资讯管理协会 (AHIMA) 强调了认证医疗编码员供需之间日益扩大的差距。

随着对准确性的要求不断提高，人工智慧在医疗编码中的采用正在不断增加。自动化机器学习、自然语言处理 (NLP) 和机器人流程自动化 (RPA) 等先进技术正在改变编码模式，最大限度地减少错误并提高精确度。

整个产业分为模式、应用、最终用途和区域。

该市场分为外包和内部市场。外包领域占据主导地位，到 2023 年估值将达到 17 亿美元。他们的专业知识不仅可以提高编码准确性，还可以确保合规性，这是计费和监管标准的关键。此外，外包使医疗保健提供者能够灵活地调整其编码操作以响应需求波动，从而避免人员配置限制。

医疗编码市场中的人工智慧依最终用途分为医疗保健提供者和诊断中心、医疗编码公司、保险实体和政府机构。在分析期间，医疗保健提供者和诊断中心部门预计将以 13.7% 的复合年增长率扩张。鑑于每天处理大量患者就诊、治疗和诊断测试，医疗保健提供者和诊断中心会产生大量医疗记录，需要精确、高效的编码。

到 2023 年，北美医疗编码市场的人工智慧价值将达到 12 亿美元，预测分析期间的复合年增长率为 12.5%。人工智慧在医疗编码中的整合得到了北美广泛采用的 EHR 系统的有力支持，为人工智慧分析产生了大量资料，以提高编码的准确性和效率。

目录

第 1 章：方法与范围

第 2 章：执行摘要

第 3 章：产业洞察

  • 产业生态系统分析
  • 产业影响力
    • 成长动力
      • 越来越重视医疗编码的卓越准确性
      • 缺乏熟练的医疗编码员
      • 大量增加编码资料
    • 产业陷阱与挑战
      • 初始投资高
  • 成长潜力分析
  • 监管环境
  • 创新格局
  • 波特的分析
  • PESTEL分析
  • 未来市场趋势
  • 差距分析

第 4 章：竞争格局

  • 介绍
  • 公司矩阵分析
  • 公司股份分析
  • 竞争定位矩阵
  • 战略仪表板

第 5 章：市场估计与预测：按模式，2021 - 2032

  • 主要趋势
  • 外包
  • 内部

第 6 章：市场估计与预测：按应用分类，2021 - 2032

  • 主要趋势
  • 自动编码
  • 诈欺和错误检测
  • 数据分析
  • 其他应用

第 7 章：市场估计与预测：按最终用途，2021 - 2032 年

  • 主要趋势
  • 医疗保健提供者和诊断中心
  • 保险公司
  • 医疗编码公司
  • 政府机构

第 8 章：市场估计与预测：按地区，2021 - 2032

  • 主要趋势
  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 西班牙
    • 义大利
    • 荷兰
    • 欧洲其他地区
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 澳洲
    • 韩国
    • 亚太地区其他地区
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
    • 拉丁美洲其他地区
  • 中东和非洲
    • 南非
    • 沙乌地阿拉伯
    • 阿联酋
    • 中东和非洲其他地区

第 9 章：公司简介

  • 3M
  • AGS Health
  • Aideo Technologies
  • aiHealth
  • Arintra
  • Buddi AI
  • Clinion
  • CodaMetrix
  • Corti HQ
  • Datavant
  • Diagnoss
  • Fathom, Inc.
  • MediCodio
  • Nuance Communications, Inc.
  • Semantic Health
简介目录
Product Code: 11081

The Global AI in Medical Coding Market was valued at USD 2.4 billion and is projected to grow at a CAGR of 13.6% from 2024 to 2032. This growth is fueled by an increasing emphasis on accuracy in medical coding, a shortage of skilled coders, and a surge in coding data.

The rising complexity of medical coding systems, coupled with high turnover rates and a lengthy training process, has led to a notable shortage of skilled medical coders. This gap has tangible repercussions, with hospitals and clinics experiencing billing delays and inaccuracies. The American Health Information Management Association (AHIMA) has underscored this widening gap between the demand for and supply of certified medical coders.

As the push for accuracy intensifies, AI adoption in medical coding is on the rise. Advanced technologies like automated machine learning, natural language processing (NLP), and robotic process automation (RPA) are transforming the coding landscape, minimizing errors and boosting precision.

The overall industry is divided into mode, application, end-use, and region.

The market is divided into outsourced and in-house segments. The outsourced segment dominated, boasting a valuation of USD 1.7 billion in 2023. Outsourcing firms bring onboard seasoned and certified medical coders, adept in the latest coding standards and regulations. Their expertise not only boosts coding accuracy but also ensures compliance, key for billing and regulatory standards. Moreover, outsourcing grants healthcare providers the agility to adjust their coding operations in response to demand fluctuations, sidestepping staffing constraints.

The AI in medical coding market is segmented by end-use into healthcare providers and diagnostic centers, medical coding firms, insurance entities, and government agencies. The healthcare providers and diagnostic centers segment is projected to expand at a CAGR of 13.7% during the analysis period. Given their daily handling of numerous patient visits, treatments, and diagnostic tests, healthcare providers and diagnostic centers generate a vast array of medical records necessitating precise and efficient coding.

North America AI in medical coding market was valued at USD 1.2 billion in 2023, with projections of a 12.5% CAGR over the analysis period. The integration of AI in medical coding finds robust support in North America's widespread adoption of EHR systems, generating a substantial data volume for AI analysis to bolster coding accuracy and efficiency.

Table of Contents

Chapter 1 Methodology and Scope

  • 1.1 Market scope and definitions
  • 1.2 Research design
    • 1.2.1 Research approach
    • 1.2.2 Data collection methods
  • 1.3 Base estimates and calculations
    • 1.3.1 Base year calculation
    • 1.3.2 Key trends for market estimation
  • 1.4 Forecast model
  • 1.5 Primary research and validation
    • 1.5.1 Primary sources
    • 1.5.2 Data mining sources

Chapter 2 Executive Summary

  • 2.1 Industry 360° synopsis

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
  • 3.2 Industry impact forces
    • 3.2.1 Growth drivers
      • 3.2.1.1 Growing emphasis on superior accuracy in medical coding
      • 3.2.1.2 Shortage of skilled medical coders
      • 3.2.1.3 Extensively increasing coding data
    • 3.2.2 Industry pitfalls and challenges
      • 3.2.2.1 High initial investments
  • 3.3 Growth potential analysis
  • 3.4 Regulatory landscape
  • 3.5 Innovation landscape
  • 3.6 Porter's analysis
  • 3.7 PESTEL analysis
  • 3.8 Future market trends
  • 3.9 GAP analysis

Chapter 4 Competitive Landscape, 2023

  • 4.1 Introduction
  • 4.2 Company matrix analysis
  • 4.3 Company share analysis
  • 4.4 Competitive positioning matrix
  • 4.5 Strategy dashboard

Chapter 5 Market Estimates and Forecast, By Mode, 2021 - 2032 ($ Mn)

  • 5.1 Key trends
  • 5.2 Outsourced
  • 5.3 In-house

Chapter 6 Market Estimates and Forecast, By Application, 2021 - 2032 ($ Mn)

  • 6.1 Key trends
  • 6.2 Automated coding
  • 6.3 Fraud and error detection
  • 6.4 Data analysis
  • 6.5 Other applications

Chapter 7 Market Estimates and Forecast, By End-Use, 2021 - 2032 ($ Mn)

  • 7.1 Key trends
  • 7.2 Healthcare providers and diagnostic centers
  • 7.3 Insurance companies
  • 7.4 Medical coding companies
  • 7.5 Government bodies

Chapter 8 Market Estimates and Forecast, By Region, 2021 - 2032 ($ Mn)

  • 8.1 Key trends
  • 8.2 North America
    • 8.2.1 U.S.
    • 8.2.2 Canada
  • 8.3 Europe
    • 8.3.1 Germany
    • 8.3.2 UK
    • 8.3.3 France
    • 8.3.4 Spain
    • 8.3.5 Italy
    • 8.3.6 Netherlands
    • 8.3.7 Rest of Europe
  • 8.4 Asia Pacific
    • 8.4.1 China
    • 8.4.2 Japan
    • 8.4.3 India
    • 8.4.4 Australia
    • 8.4.5 South Korea
    • 8.4.6 Rest of Asia Pacific
  • 8.5 Latin America
    • 8.5.1 Brazil
    • 8.5.2 Mexico
    • 8.5.3 Argentina
    • 8.5.4 Rest of Latin America
  • 8.6 Middle East and Africa
    • 8.6.1 South Africa
    • 8.6.2 Saudi Arabia
    • 8.6.3 UAE
    • 8.6.4 Rest of Middle East and Africa

Chapter 9 Company Profiles

  • 9.1 3M
  • 9.2 AGS Health
  • 9.3 Aideo Technologies
  • 9.4 aiHealth
  • 9.5 Arintra
  • 9.6 Buddi AI
  • 9.7 Clinion
  • 9.8 CodaMetrix
  • 9.9 Corti HQ
  • 9.10 Datavant
  • 9.11 Diagnoss
  • 9.12 Fathom, Inc.
  • 9.13 MediCodio
  • 9.14 Nuance Communications, Inc.
  • 9.15 Semantic Health