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医疗编码中的人工智慧市场规模、份额和趋势分析报告：2023-2030 年按组件、地区和细分市场分類的趋势
市场调查报告书
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1321387

医疗编码中的人工智慧市场规模、份额和趋势分析报告：2023-2030 年按组件、地区和细分市场分類的趋势

AI In Medical Coding Market Size, Share & Trends Analysis Report By Component (In-house, Outsourced), By Region (North America, Europe, APAC, Latin America, MEA), And Segment Forecasts, 2023 - 2030
出版日期: | 出版商: Grand View Research | 英文 90 Pages | 商品交期: 2-10个工作天内

价格

人工智慧市场成长和医疗编码趋势

Grand View Research 的最新报告显示，到 2030 年，全球医疗编码人工智慧市场预计将达到 57.1 亿美元。

预计2023年至2030年该市场将以13.7%的年复合成长率成长。医疗编码中的人工智慧 (AI) 正在促进因素，包括增加医疗编码过程的复杂性。医疗保健资料的成长需要先进的技术来简化和自动化编码操作。人工智慧可以有效分析大量资料、识别模式并准确分配程式码，从而提高效率并减少申请错误。

由于医疗资料量的增加以及需要有效的流程来管理 COVID-19 病例激增，COVID-19 大流行对医疗编码行业的人工智慧产生了重大影响。因此，人工智慧驱动的解决方案的推出正在加速。此外，向远距工作的转变和远端医疗服务的兴起正在扩大对医疗编码中人工智慧的需求，以实现医疗记录的远端存取和分析。这些由疫情引发的市场变化预计将产生持久影响，并推动未来几年的显着成长。

自动化医疗编码为医疗保健提供者提供了许多好处，提高了效率、准确性和收入週期管理。透过利用人工智慧和机器学习演算法，自动化系统可以快速且准确地分析医疗文件、提取相关资讯并分配适当的程式码。这消除了手动编码的需要，节省了时间并降低了人为错误的风险。自动化系统还可以提高对编码指南和法规的遵从性，并减少审核和否认的可能性。此外，它还透过加快编码流程、最佳化报销和减少积压来改善收入週期管理。自动化医疗编码使医疗保健提供者能够简化营运、专注于患者照护并实现更好的财务绩效。

此外，市场主要企业正在推出创新的解决方案和服务以保持竞争力。例如，2020 年 11 月，Diagnoss 推出了一款人工智慧助手，可以减少医疗编码错误，解决医疗保健申请流程中的一个关键挑战。该人工智慧助理利用先进的演算法来分析医疗文件、识别潜在错误并即时提案准确的编码。该解决方案旨在提高准确性、减少申请拒绝并最佳化收入週期管理。这项创新解决方案有可能提高医疗保健提供者的营运效率和财务绩效，最终改善患者照护并节省成本。

同样，2022 年 9 月，AGS Health 宣布了一个专为端到端收入周期管理和医疗编码而设计的人工智慧平台。这个创新平台融合了人工智慧功能，可以最佳化收入週期的各个方面，包括医疗编码、申请、索赔管理和报销。透过利用先进的演算法和自动化，AGS Health 的人工智慧平台旨在提高营运效率、减少申请错误、加快支付週期并提高医疗保健提供者的整体收入绩效。此次发布标誌着人工智慧在医疗保健行业的日益普及及其改变医疗编码流程的潜力。

医疗编码市场中的人工智慧报告亮点

  • 以组成部分来看，外包业务在 2022 年所占营收份额最高。其收入份额为 66.8%，预计在预测期内将以 14.5% 的最快年复合成长率增长。
  • 医疗保健提供者选择外包医疗编码以最大限度地降低管理成本。这种方法有助于降低成本、节省时间并简化工作流程。
  • 2022 年，北美地区占多数份额，达到 31.8%。由于技术进步和医疗保健基础设施的改善，预计北美市场将在整个预测期内占据重要份额。

目录

第1章调查方法与范围

  • 市场区隔和范围
  • 市场定义
  • 调查方法
  • 调查范围和先决条件
  • 估价流程
  • 资料来源列表

第2章执行摘要

第3章医疗编码市场中的人工智慧变数、趋势和范围

  • 绘製普及和成长预测
  • 价格分析
  • 从使用者观点分析
    • 消费行为分析
    • 市场影响力分析
  • 市场体系预测
    • 母市场预测
    • 附随市场预测
  • 法律规范
  • 市场动态
    • 市场促进因素分析
    • 市场抑制因素分析
    • 产业挑战
  • 医疗编码中的人工智慧市场分析工具
    • 医疗编码中的人工智慧市场—波特的分析
    • PESTEL分析
  • COVID-19 对医疗编码领域人工智慧市场的影响

第4章医疗编码中的人工智慧市场：成分估计和趋势分析

  • 医疗编码中的人工智慧市场：2023 年和 2030 年组件变化分析
  • 公司内部
  • 外包

第5章医疗编码中的人工智慧市场：区域业务分析

  • 区域市场简介
  • 北美洲
    • 2018 年至 2030 年市场估计与预测
    • 美国
    • 加拿大
  • 欧洲
    • 欧洲市场，2018-2030
    • 英国
    • 德国
    • 西班牙
    • 法国
    • 义大利
    • 丹麦
    • 瑞典
    • 挪威
  • 亚太地区
    • 亚太市场，2018-2030
    • 日本
    • 中国
    • 印度
    • 韩国
    • 泰国
    • 澳洲
  • 拉丁美洲
    • 拉丁美洲市场，2018-2030
    • 巴西
    • 墨西哥
    • 阿根廷
  • 中东/非洲
    • MEA 市场，2018-2030
    • 南非
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 科威特

第6章竞争分析

  • 主要市场参与企业的最新趋势和影响分析
  • 公司/竞争分类（主要创新者、市场领导者、新兴企业）
  • 公司市场分析
  • 公司市占率分析(%)

第7章公司简介

  • 参与企业概况
  • 财务绩效
  • 参与企业
    • 获得
    • 推出产品和服务
    • 伙伴关係/协作
    • 其他的
Product Code: GVR-4-68040-098-0

AI In Medical Coding Market Growth & Trends

The global AI in medical coding market size is expected to reach USD 5.71 billion by 2030, based on a new report by Grand View Research, Inc. The market is expected to grow at a CAGR of 13.7% from 2023 to 2030. Several drivers propel artificial intelligence (AI) in medical coding, such as the increasing complexity of healthcare coding processes. The growing volume of healthcare data necessitates advanced technologies to streamline and automate coding operations. AI can efficiently analyze large amounts of data, identify patterns, and accurately assign codes, improving efficiency and reducing billing errors.

The COVID-19 pandemic significantly impacted AI in the medical coding industry, driven by the increased volume of healthcare data and the need for efficient processes to manage the surge in COVID-19 cases. This has led to the accelerated adoption of AI-powered solutions. Furthermore, the shift to remote work and the rise of telehealth services have amplified the demand for AI in medical coding to enable remote access and analysis of medical records. These pandemic-driven changes in the market are projected to have a lasting impact, fueling substantial growth in the coming years.

Automated medical coding offers numerous benefits to healthcare providers, improving efficiency, accuracy, and revenue cycle management. By leveraging artificial intelligence and machine learning algorithms, automated systems can quickly and accurately analyze medical documentation, extract relevant information, and assign appropriate codes. This eliminates the need for manual coding, saving time and reducing the risk of human errors. Automated systems also enhance compliance with coding guidelines and regulations, reducing the chances of audits and denials. Furthermore, it improves revenue cycle management by accelerating the coding process, optimizing reimbursement, and reducing backlogs. With automated medical coding, healthcare providers can streamline operations, focus on patient care, and achieve better financial outcomes.

Moreover, key players in the market are launching innovative solutions and services to maintain a competitive edge. For instance, in November 2020, Diagnoss introduced an AI assistant to reduce medical coding errors, addressing a critical challenge in healthcare billing processes. The AI assistant utilizes advanced algorithms to analyze medical documentation, identify potential errors, and provide real-time suggestions for accurate coding. The solution aims to improve accuracy, reduce claim denials, and optimize revenue cycle management. This innovative solution could enhance operational efficiency and financial performance for healthcare providers, ultimately improving patient care and cost savings.

Similarly, in September 2022, AGS Health unveiled an artificial intelligence platform designed for end-to-end revenue cycle management and medical coding. This innovative platform incorporates AI capabilities to optimize various aspects of the revenue cycle, including medical coding, billing, claims management, and reimbursement. By leveraging advanced algorithms and automation, AGS Health's AI platform aims to enhance operational efficiency, reduce billing errors, accelerate payment cycles, and improve overall revenue performance for healthcare providers. This launch shows the growing adoption of AI in the healthcare industry and its potential to transform medical coding processes.

AI In Medical Coding Market Report Highlights

  • Based on component, the outsourced segment accounted for the highest revenue share in 2022. Its revenue share was 66.8% and is expected to grow at the fastest CAGR of 14.5% over the forecast period
  • Healthcare providers opt to outsource their medical coding needs to minimize administrative expenses. This approach aids in cost reduction, time savings, and the streamlining of workflows
  • North America held the majority share of 31.8% in 2022. Due to technological advancements and improved healthcare infrastructure, the market in North America is projected to have a significant share throughout the forecast period

Table of Contents

Chapter 1 Methodology and Scope

  • 1.1 Market Segmentation And Scope
  • 1.2 Market Definition
  • 1.3 Research Methodology
    • 1.3.1 Information Procurement
      • 1.3.1.1 Purchased Database
      • 1.3.1.2 GVR's Internal Database
    • 1.3.2 Primary Research:
  • 1.4 Research Scope And Assumptions
  • 1.5 Estimation Process
  • 1.6 List Of Data Sources

Chapter 2 Executive Summary

  • 2.1 Artificial Intelligence in Medical Coding Market Outlook
  • 2.2 Artificial Intelligence in Medical Coding Market Segment Outlook
  • 2.3 Artificial Intelligence in Medical Coding Market Competitive Insights
  • 2.4 Artificial Intelligence in Medical Coding Market Snapshot

Chapter 3 Artificial Intelligence in Medical Coding Market Variables, Trends & Scope

  • 3.1 Penetration And Growth Prospect Mapping
  • 3.2 Pricing Analysis
  • 3.3 User Perspective Analysis
    • 3.3.1 Consumer Behavior Analysis
    • 3.3.2 Market Influencer Analysis
  • 3.4 Market Lineage Outlook
    • 3.4.1 Parent Market Outlook
    • 3.4.2 Ancillary Market Outlook
  • 3.5 Regulatory Framework
  • 3.6 Market Dynamics
    • 3.6.1 Market Driver Analysis
    • 3.6.2 Market Restraint Analysis
    • 3.6.3 Industry Challenge
  • 3.7 Artificial Intelligence In Medical Coding Market Analysis Tools
    • 3.7.1 Artificial Intelligence In Medical Coding Market - Porter's Analysis
      • 3.7.1.1 Bargaining Power Of The Supplier
      • 3.7.1.2 Bargaining Power Of The Buyer
      • 3.7.1.3 Threat Of New Entrants
      • 3.7.1.4 Threat Of Substitution
      • 3.7.1.5 Competitive Rivalry
    • 3.7.2 Pestel Analysis
      • 3.7.2.1 Political And Legal Landscape
      • 3.7.2.2 Economic And Social Landscape
      • 3.7.2.3 Technological Landscape
  • 3.8 Impact Of COVID-19 On Artificial Intelligence In Medical Coding Market

Chapter 4 Artificial Intelligence in Medical Coding Market: Component Estimates & Trend Analysis

  • 4.1 Artificial Intelligence In Medical Coding Market: Component Movement Analysis, 2023 & 2030 (USD Million)
  • 4.2 In-house
    • 4.2.1 In-house Market Estimates And Forecasts, 2018 - 2030 (USD Million)
  • 4.3 Outsourced
    • 4.3.1 Outsourced Market Estimates And Forecasts, 2018 - 2030 (USD Million)

Chapter 5 Artificial Intelligence In Medical Coding Market: Regional Business Analysis

  • 5.1 Regional Market Snapshot
  • 5.2 North America
    • 5.2.1 North America Digital Patient Monitoring Devices Market Estimates And Forecast, 2018 - 2030 (USD Million)
    • 5.2.2 U.S.
      • 5.2.2.1 U.S. Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.2.2.2 Key Country Dynamics
      • 5.2.2.3 Regulatory Framework
      • 5.2.2.4 Reimbursement Scenario
    • 5.2.3 Canada
      • 5.2.3.1 Canada Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.2.3.2 Key Country Dynamics
      • 5.2.3.3 Regulatory Framework
      • 5.2.3.4 Reimbursement Scenario
  • 5.3 Europe
    • 5.3.1 Europe Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
    • 5.3.2 UK
      • 5.3.2.1 UK Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.3.2.2 Key Country Dynamics
      • 5.3.2.3 Regulatory Framework
      • 5.3.2.4 Reimbursement Scenario
    • 5.3.3 Germany
      • 5.3.3.1 Germany Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.3.3.2 Key Country Dynamics
      • 5.3.3.3 Regulatory Framework
      • 5.3.3.4 Reimbursement Scenario
    • 5.3.4 Spain
      • 5.3.4.1 Spain Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.3.4.2 Key Country Dynamics
      • 5.3.4.3 Regulatory Framework
      • 5.3.4.4 Reimbursement Scenario
    • 5.3.5 France
      • 5.3.5.1 France Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.3.5.2 Key Country Dynamics
      • 5.3.5.3 Regulatory Framework
      • 5.3.5.4 Reimbursement Scenario
    • 5.3.6 Italy
      • 5.3.6.1 Italy Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.3.6.2 Key Country Dynamics
      • 5.3.6.3 Regulatory Framework
      • 5.3.6.4 Reimbursement Scenario
    • 5.3.7 Denmark
      • 5.3.7.1 Denmark Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.3.7.2 Key Country Dynamics
      • 5.3.7.3 Regulatory Framework
      • 5.3.7.4 Reimbursement Scenario
    • 5.3.8 Sweden
      • 5.3.8.1 Sweden Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.3.8.2 Key Country Dynamics
      • 5.3.8.3 Regulatory Framework
      • 5.3.8.4 Reimbursement Scenario
    • 5.3.9 Norway
      • 5.3.9.1 Norway Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.3.9.2 Key Country Dynamics
      • 5.3.9.3 Regulatory Framework
      • 5.3.9.4 Reimbursement Scenario
  • 5.4 Asia Pacific
    • 5.4.1 Asia-pacific Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
    • 5.4.2 Japan
      • 5.4.2.1 Japan Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.4.2.2 Key Country Dynamics
      • 5.4.2.3 Regulatory Framework
      • 5.4.2.4 Reimbursement Scenario
    • 5.4.3 China
      • 5.4.3.1 China Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.4.3.2 Key Country Dynamics
      • 5.4.3.3 Regulatory Framework
      • 5.4.3.4 Reimbursement Scenario
    • 5.4.4 India
      • 5.4.4.1 India Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.4.4.2 Key Country Dynamics
      • 5.4.4.3 Regulatory Framework
      • 5.4.4.4 Reimbursement Scenario
    • 5.4.5 South Korea
      • 5.4.5.1 South Korea Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.4.5.2 Key Country Dynamics
      • 5.4.5.3 Regulatory Framework
      • 5.4.5.4 Reimbursement Scenario
    • 5.4.6 Thailand
      • 5.4.6.1 Thailand Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.4.6.2 Key Country Dynamics
      • 5.4.6.3 Regulatory Framework
      • 5.4.6.4 Reimbursement Scenario
    • 5.4.7 Australia
      • 5.4.7.1 Australia Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.4.7.2 Key Country Dynamics
      • 5.4.7.3 Regulatory Framework
      • 5.4.7.4 Reimbursement Scenario
  • 5.5 Latin America
    • 5.5.1 Latin America Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
    • 5.5.2 Brazil
      • 5.5.2.1 Brazil Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.5.2.2 Key Country Dynamics
      • 5.5.2.3 Regulatory Framework
      • 5.5.2.4 Reimbursement Scenario
    • 5.5.3 Mexico
      • 5.5.3.1 Mexico Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.5.3.2 Key Country Dynamics
      • 5.5.3.3 Regulatory Framework
      • 5.5.2.4 Reimbursement Scenario
    • 5.5.4 Argentina
      • 5.5.4.1 Argentina Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.5.4.2 Key Country Dynamics
      • 5.5.4.3 Regulatory Framework
      • 5.5.4.4 Reimbursement Scenario
  • 5.5 MEA
    • 5.5.1 MEA Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
    • 5.5.2 South Africa
      • 5.5.2.1 South Africa Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.5.2.2 Key Country Dynamics
      • 5.5.2.3 Regulatory Framework
      • 5.5.2.4 Reimbursement Scenario
    • 5.5.3 Saudi Arabia
      • 5.5.3.1 Saudi Arabia Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.5.3.2 Key Country Dynamics
      • 5.5.3.3 Regulatory Framework
      • 5.4.3.4 Reimbursement Scenario
    • 5.5.4 UAE
      • 5.5.4.1 UAE Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.5.4.2 Key Country Dynamics
      • 5.5.4.3 Regulatory Framework
      • 5.5.2.4 Reimbursement Scenario
    • 5.5.5 Kuwait
      • 5.5.5.1 Kuwait Digital Patient Monitoring Devices Market, 2018 - 2030 (USD Million)
      • 5.5.5.2 Key Country Dynamics
      • 5.5.5.3 Regulatory Framework
      • 5.5.5.4 Reimbursement Scenario

Chapter 6 Competitive Analysis

  • 6.1 Recent Developments And Impact Analysis By Key Market Participants
  • 6.2 Company/competition Categorization (Key Innovators, Market Leaders, And Emerging Players)
  • 6.3 Company Market Position Analysis
  • 6.4 Company Market Share Analysis (%)

Chapter 7 Company Profiles

  • 7.1 Participants' Overview
  • 7.2 Financial Performance
  • 7.3 Participant Categorization
    • 7.3.1 Acquisition
    • 7.3.2 Product/service Launch
    • 7.3.3 Partnerships/collaborations
    • 7.3.4 Others

List of Tables

  • Table 1 List of secondary sources
  • Table 2 List of abbreviation
  • Table 3 North America artificial intelligence in medical coding market, by country, 2018 - 2030 (USD Million)
  • Table 4 North America artificial intelligence in medical coding market, by component, 2018 - 2030 (USD Million)
  • Table 5 U.S artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 6 Canada artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 7 Europe artificial intelligence in medical coding market, by country, 2018 - 2030 (USD Million)
  • Table 8 Europe artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 9 UK artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 10 Germany artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 11 France artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 12 Italy artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 13 Spain artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 14 Denmark artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 15 Sweden artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 16 Norway artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 17 Asia Pacific artificial intelligence in medical coding market, by country, 2018 - 2030 (USD Million)
  • Table 18 Asia Pacific artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 19 China artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 20 Japan artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 21 South Korea artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 22 Australia digital patient monitoring devices market, by component 2018 - 2030 (USD Million)
  • Table 23 Thailand artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 24 Latin America artificial intelligence in medical coding market, by country, 2018 - 2030 (USD Million)
  • Table 25 Latin America artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 26 Brazil artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 27 Mexico artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 28 Argentina artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 29 Middle East & Africa artificial intelligence in medical coding market, by country, 2018 - 2030 (USD Million)
  • Table 30 Middle East & Africa artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 31 South Africa artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 32 Saudi Arabia artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 33 UAE artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)
  • Table 34 Kuwait artificial intelligence in medical coding market, by component 2018 - 2030 (USD Million)

List of Figures

  • Fig. 1 Artificial intelligence in medical coding market segmentation
  • Fig. 2 Market research process
  • Fig. 3 Information procurement
  • Fig. 4 Primary research pattern
  • Fig. 5 Market research approaches
  • Fig. 6 Value chain-based sizing & forecasting
  • Fig. 7 QFD modeling for market share assessment
  • Fig. 8 Market formulation & validation
  • Fig. 9 Market snapshot
  • Fig. 10 Segment snapshot
  • Fig. 11 Segment snapshot
  • Fig. 12 Competitive landscape
  • Fig. 13 Artificial intelligence in medical coding market value, 2022 (USD Billion)
  • Fig. 14 Artificial intelligence in medical coding- Industry value chain analysis
  • Fig. 15 Artificial intelligence in medical coding market dynamics
  • Fig. 16 Artificial intelligence in medical coding market: PORTER's analysis
  • Fig. 17 Artificial intelligence in medical coding market: PESTEL analysis
  • Fig. 18 Artificial intelligence in medical coding market: By component: Key takeaways
  • Fig. 19 Artificial intelligence in medical coding market, by component: Market share, 2022 & 2030
  • Fig. 20 In-house market, 2018 - 2030 (USD Million)
  • Fig. 21 Outsourced market, 2018 - 2030 (USD Million)
  • Fig. 22 Regional marketplace: Key takeaways
  • Fig. 23 Regional marketplace: Key takeaways
  • Fig. 24 North America: SWOT analysis
  • Fig. 25 North America artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 26 Key country dynamics
  • Fig. 27 Reimbursement procurement process
  • Fig. 28 U.S. artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 29 Key country dynamics
  • Fig. 30 Canada artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 31 Europe: SWOT analysis
  • Fig. 32 Europe artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 33 Key country dynamics
  • Fig. 34 Germany artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 35 Key country dynamics
  • Fig. 36 UK artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 37 Key country dynamics
  • Fig. 38 France color-correcting classes market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 39 Key country dynamics
  • Fig. 40 Italy artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 41 Key country dynamics
  • Fig. 42 Spain artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 43 Key country dynamics
  • Fig. 44 Denmark artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 45 Key country dynamics
  • Fig. 46 Sweden artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 47 Key country dynamics
  • Fig. 48 Norway artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 49 Asia Pacific: SWOT analysis
  • Fig. 50 Asia Pacific artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 51 Key country dynamics
  • Fig. 52 Reimbursement procurement process
  • Fig. 53 Japan artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 54 Key country dynamics
  • Fig. 55 China artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 56 Key country dynamics
  • Fig. 57 India artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 58 Key country dynamics
  • Fig. 59 Australia artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 60 Key country dynamics
  • Fig. 61 South Korea artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 62 Key country dynamics
  • Fig. 63 Thailand artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 64 Key country dynamics
  • Fig. 65 Latin America: SWOT analysis
  • Fig. 66 Latin America artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 67 Key country dynamics
  • Fig. 68 Brazil artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 69 Key country dynamics
  • Fig. 70 Mexico artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 71 Key country dynamics
  • Fig. 72 Argentina artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 73 MEA: SWOT analysis
  • Fig. 74 Middle East & Africa artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 75 Key country dynamics
  • Fig. 76 South Africa artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 77 Key country dynamics
  • Fig. 78 Saudi Arabia artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 79 Key country dynamics
  • Fig. 80 UAE artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 81 Key country dynamics
  • Fig. 82 Kuwait artificial intelligence in medical coding market estimates and forecasts, 2018 - 2030 (USD Million)
  • Fig. 83 Key company categorization
  • Fig. 84 Company market position analysis