컴퓨터 지원 코딩 시장 : 제품·서비스별, 용도별, 제공 형태별, 최종사용자별, 지역별(2024-2031년)

Computer Assisted Coding Market Valuation - 2024-2031

Increasing healthcare costs and the surge in patient data and medical records are propelling the adoption of computer assisted coding. Innovations in artificial intelligence and machine learning enhance the capabilities of CAC systems are driving the market size surpass USD 5.27 Billion valued in 2024 to reach a valuation of around USD 14.31 Billion by 2031.

In addition to this, Healthcare organizations aim to improve operational efficiency and productivity is spurring up the adoption of computer assisted coding. The widespread implementation of EHRs boosts demand for CAC systems to integrate with these platforms and streamline coding and documentation processes, this is enabling the market to grow at a CAGR of 13.3% from 2024 to 2031.

Computer Assisted Coding Market: Definition/ Overview

Computer Assisted Coding (CAC) refers to the use of advanced software solutions that leverage artificial intelligence and natural language processing to automate and enhance the medical coding process. These systems analyze clinical documentation and generate accurate coding suggestions, helping to streamline the conversion of medical diagnoses and procedures into standardized codes used for billing and insurance purposes.

CAC systems are widely applied in healthcare settings to improve the efficiency and accuracy of medical coding. They are used to support coding professionals by providing automated code suggestions based on clinical documentation, thereby reducing the time required for manual coding and minimizing errors. CAC is especially beneficial in environments with high volumes of patient data and complex coding requirements, such as hospitals and large healthcare networks.

How will Rising Healthcare Costs and Administrative Burdens Increase Adoption of Computer Assisted Coding?

Rising healthcare costs and administrative burdens have driven the adoption of Computer Assisted Coding (CAC) systems. These solutions streamline the medical coding process, reducing errors and improving efficiency. According to the Centers for Medicare & Medicaid Services, national health expenditure grew 9.7% to USD 4.1 Trillion in 2020, highlighting the need for cost-effective solutions. CAC systems help healthcare providers optimize revenue cycles and comply with complex coding regulations. For instance, 3M Health Information Systems announced an expansion of its CAC platform to include artificial intelligence-powered features for more accurate code suggestions.

The shift towards value-based care models has accelerated the demand for CAC systems. These tools support data-driven decision-making and quality reporting, essential for success in new payment models. The Office of the National Coordinator for Health Information Technology reported that 96% of hospitals used certified EHR technology in 2021, providing a foundation for integrated CAC solutions. CAC systems help capture patient complexity more accurately, supporting fair reimbursement and quality metrics. For instance, Optum, a leading CAC provider, partnered with Change Healthcare to enhance its natural language processing capabilities for improved coding accuracy.

The ongoing shortage of skilled medical coders has fueled the adoption of CAC systems. These tools augment human coders' capabilities, allowing them to focus on complex cases and auditing. The U.S. Bureau of Labor Statistics projects a 7% growth in medical records and health information technician jobs from 2021 to 2031, slower than average, potentially exacerbating the coding workforce shortage. CAC systems help healthcare organizations maintain productivity despite staffing challenges. For instance, Nuance Communications, a Microsoft company, launched an updated version of its CAC solution, featuring enhanced machine learning algorithms for more precise code recommendations across various medical specialties.

Will Accuracy and Reliability Concerns of Computer Assisted Coding Restrain Its Market Growth?

The high initial costs associated with implementing Computer Assisted Coding (CAC) systems can be a significant barrier for many healthcare organizations. The investment required for purchasing the software, hardware, and training can be substantial, which may deter smaller providers or those with constrained budgets from adopting these advanced solutions.

Integration challenges present another obstacle, as CAC systems need to work seamlessly with existing Electronic Health Records (EHR) and other healthcare IT systems. This process can be complex and resource-intensive, with potential issues related to compatibility and the need for extensive customization, leading to operational disruptions and additional costs.

Accuracy and reliability concerns also pose a restraint, as CAC systems are not immune to errors. The potential for incorrect coding suggestions or limitations in interpreting complex medical terminology can impact the overall accuracy and reliability of the system, creating issues with compliance and billing.

Resistance to change among healthcare professionals can hinder the adoption of CAC systems. Staff who are accustomed to manual coding processes may be skeptical of new technology, and the need for thorough training and overcoming inertia can slow the adoption rate, affecting the overall growth of the market.

Category-Wise Acumens

Will Rise in Adoption of Automated Computer-Assisted Encoding Drive Computer Assisted Coding Market?

Automated computer-assisted encoding (CAE) is dominating in the computer assisted coding (CAC) market. This technology leverages advanced natural language processing and machine learning algorithms to automatically suggest medical codes with minimal human intervention. According to a report by the Office of the National Coordinator for Health Information Technology, 89% of hospitals used CAC systems in 2021, with a growing trend towards more automated solutions. Automated CAE systems significantly reduce coding time and improve accuracy, leading to faster reimbursement cycles. For instance, 3M Health Information Systems unveiled an enhanced version of its 360 Encompass System, featuring improved automated coding capabilities for both inpatient and outpatient settings.

The shift towards value-based care models is driving the adoption of automated CAE systems. These tools excel at capturing detailed patient information and translating it into accurate codes, supporting more precise quality reporting and risk adjustment. The Centers for Medicare & Medicaid Services reported that 534,000 clinicians participated in MIPS (Merit-based Incentive Payment System) in 2020, emphasizing the need for accurate coding to support performance measurement. Automated CAE systems help healthcare providers meet these complex reporting requirements more efficiently. For instance, Optum announced a partnership with a leading EHR vendor to integrate its automated CAE solution directly into clinical workflows, streamlining the coding process.

Which Factors Enhance the Use of Computer Assisted Coding in Hospitals?

Hospitals are the primary adopters of computer assisted coding (CAC) systems, driving market growth. These large healthcare facilities handle complex cases and high patient volumes, making efficient coding crucial for their operations. According to the American Hospital Association, there were 6,093 hospitals in the United States in 2022, representing a vast market for CAC solutions. Hospitals use CAC to improve coding accuracy, reduce claim denials, and optimize revenue cycles. For instance, Epic Systems, a major electronic health record provider, announced enhanced CAC integration features in its hospital information system, streamlining the coding process for inpatient and outpatient services.

The increasing focus on healthcare quality metrics and value-based care has further cemented hospitals' dominance in the CAC market. These institutions require sophisticated coding tools to accurately capture patient complexity and support quality reporting. The Centers for Medicare & Medicaid Services reported that 3,236 hospitals participated in the Hospital Value-Based Purchasing Program in fiscal year 2023, highlighting the importance of precise coding for performance measurement. CAC systems help hospitals meet these regulatory requirements more efficiently. For instance, 3M Health Information Systems launched an AI-powered CAC platform specifically designed for hospital settings, promising improved coding accuracy and productivity.

Country/Region-wise Acumens

Will Advanced Healthcare Infrastructure in North America Drive Computer Assisted Coding Market Growth?

North America leads the global computer assisted coding (CAC) market, driven by advanced healthcare infrastructure and stringent regulatory requirements. The region's early adoption of electronic health records has created a fertile ground for CAC implementation. According to the Office of the National Coordinator for Health Information Technology, 96% of U.S. hospitals used certified EHR technology in 2021, providing a strong foundation for CAC integration. The complex coding systems in the U.S., such as ICD-10 and CPT, further necessitate the use of CAC solutions. For instance, 3M Health Information Systems, a key player in the North American market, announced the launch of its next-generation CAC platform, incorporating advanced AI capabilities to enhance coding accuracy and efficiency.

The shift towards value-based care models in North America has intensified the demand for CAC systems. These tools are essential for accurate quality reporting and risk adjustment, which are crucial in new payment models. The Centers for Medicare & Medicaid Services reported that 534,000 clinicians participated in the Merit-based Incentive Payment System (MIPS) in 2020, underscoring the need for precise coding to support performance measurement. CAC systems help healthcare providers in North America meet these complex reporting requirements more effectively. For instance, Optum, a major CAC provider in the region, announced a partnership with a leading EHR vendor to integrate its CAC solution directly into clinical workflows across several large health systems in the United States.

Will Shortage of Skilled Medical Coders Enhance Adoption of Computer Assisted Coding in Asia Pacific?

The Asia Pacific region is experiencing rapid growth in the Computer Assisted Coding (CAC) market, driven by increasing healthcare digitization and government initiatives. Countries like China, Japan, and India are investing heavily in healthcare IT infrastructure, creating opportunities for CAC adoption. According to the Indian Ministry of Health and Family Welfare, the Ayushman Bharat Digital Mission had created over 230 million digital health IDs by March 2023, indicating a strong push towards digital health records. This digital transformation provides a foundation for CAC implementation. For instance, Wolters Kluwer, a global CAC provider, announced a partnership with a leading hospital chain in India to implement its CAC solution across multiple facilities, aiming to improve coding efficiency and accuracy.

The growing emphasis on healthcare quality and efficiency in Asia Pacific is fueling the demand for CAC systems. These tools support accurate coding for quality reporting and help optimize revenue cycles. China's National Health Commission reported that the country had 35,394 hospitals by the end of 2021, representing a vast potential market for CAC solutions. As these hospitals strive to improve their operations and meet international standards, CAC systems become increasingly valuable.

The shortage of skilled medical coders in the Asia Pacific region is accelerating the adoption of CAC systems. These tools help healthcare providers maintain coding productivity despite workforce challenges. The Australian Institute of Health and Welfare reported that health expenditure in Australia grew to 10.2% of GDP in 2020-21, highlighting the need for efficient healthcare management solutions. CAC systems support this goal by streamlining the coding process and reducing errors.

Competitive Landscape

The computer assisted coding market is a dynamic and competitive space, characterized by a diverse range of players vying for market share. These players are on the run for solidifying their presence through the adoption of strategic plans such as collaborations, mergers, acquisitions, and political support.

The organizations are focusing on innovating their product line to serve the vast population in diverse regions. Some of the prominent players operating in the computer assisted coding market include:

3M Health Information Systems

• Optum360
• Cerner Corporation
• McKesson Corporation
• IBM Watson Health
• Nuance Communications
• Allscripts Healthcare Solutions
• Epic Systems Corporation
• Change Healthcare
• eCatalyst Healthcare Solutions
• Quadax, Inc.
• CPT(R) Assistant (American Medical Association)
• Comprehensive Health Services
• MModal
• HealthEC
• HIMSS Analytics
• Avaya, Inc.
• Envision Healthcare
• GE Healthcare
• InVision Healthcare Solutions

Latest Developments

• In January 2024, 3M Health Information Systems announced the release of its latest CAC software update, featuring enhanced machine learning algorithms for more accurate coding suggestions and improved integration with electronic health record (EHR) systems.
• In March 2024, Optum360 launched a new CAC platform designed to streamline the coding process for outpatient settings. The platform includes advanced natural language processing capabilities to improve the accuracy and efficiency of coding for diverse clinical documentation.

Computer Assisted Coding Market, By Category

• Product And Service:
• Software
• Services
• Application:
• Automated Computer-Assisted Encoding
• Management Reporting And Analytics
• Clinical Coding Auditing
• Mode of Delivery:
• Web-Based Solutions
• Cloud-Based Solutions
• On-Premise
• End User:
• Hospitals
• Physicians
• Academic Medical Centers
• Clinical labs and diagnosis centers
• Other healthcare providers
• Region:
• North America
• Europe
• Asia-Pacific
• South America
• Middle East & Africa

TABLE OF CONTENTS

1. INTRODUCTION OF GLOBAL COMPUTER ASSISTED CODING MARKET

• 1.1 Overview of the Market
• 1.2 Scope of Report
• 1.3 Assumptions

2. EXECUTIVE SUMMARY

3. RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

• 3.1 Data Mining
• 3.2 Validation
• 3.3 Primary Interviews
• 3.4 List of Data Sources

4. GLOBAL COMPUTER ASSISTED CODING MARKET OUTLOOK

• 4.1 Overview
• 4.2 Market Dynamics
  • 4.2.1 Drivers
  • 4.2.2 Restraints
• 4.3 Porter's Five Force Model
• 4.4 Value Chain Analysis
• 4.5 Regulatory Framework

5. GLOBAL COMPUTER ASSISTED CODING MARKET, BY PRODUCT AND SERVICE

• 5.1 Overview
• 5.2 Software
• 5.3 Services

6. GLOBAL COMPUTER ASSISTED CODING MARKET, BY APPLICATION

• 6.1 Overview
• 6.2 Automated Computer-assisted encoding
• 6.3 Management Reporting And Analytics
• 6.4 Clinical Coding auditing

7. GLOBAL COMPUTER ASSISTED CODING MARKET, BY MODE OF DELIVERY

• 7.1 Overview
• 7.2 Web-based
• 7.3 Cloud-based
• 7.4 On-premise

8. GLOBAL COMPUTER ASSISTED CODING MARKET, BY END USER

• 8.1 Overview
• 8.2 Hospitals
• 8.3 Physicians
• 8.4 Academic Medical Centers
• 8.5 Clinical Labs and Diagnosis Centers
• 8.6 Other Healthcare Providers

9. GLOBAL COMPUTER ASSISTED CODING MARKET, BY GEOGRAPHY

• 9.1 Overview
• 9.2 North America
  • 9.2.1 U.S.
  • 9.2.2 Canada
  • 9.2.3 Mexico
• 9.3 Europe
  • 9.3.1 Germany
  • 9.3.2 U.K.
  • 9.3.3 France
  • 9.3.4 Rest of Europe
• 9.4 Asia Pacific
  • 9.4.1 China
  • 9.4.2 Japan
  • 9.4.3 India
  • 9.4.4 Rest of Asia Pacific
• 9.5 Latin America
  • 9.5.1 Brazil
  • 9.5.2 Argentina
• 9.6 Rest of the World

10. GLOBAL COMPUTER ASSISTED CODING MARKET COMPETITIVE LANDSCAPE

• 10.1 Overview
• 10.2 Company Market Share
• 10.3 Vendor Landscape
• 10.4 Key Development Strategies

11. COMPANY PROFILES

• 11.1 3M Company
  • 11.1.1 Overview
  • 11.1.2 Financial Performance
  • 11.1.3 Product Outlook
  • 11.1.4 Key Developments
• 11.2 Optum, Inc.
  • 11.2.1 Overview
  • 11.2.2 Financial Performance
  • 11.2.3 Product Outlook
  • 11.2.4 Key Developments
• 11.3 Nuance Communications, Inc.
  • 11.3.1 Overview
  • 11.3.2 Financial Performance
  • 11.3.3 Product Outlook
  • 11.3.4 Key Developments
• 11.4 Cerner Corporation
  • 11.4.1 Overview
  • 11.4.2 Financial Performance
  • 11.4.3 Product Outlook
  • 11.4.4 Key Developments
• 11.5 Mckesson Corporation
  • 11.5.1 Overview
  • 11.5.2 Financial Performance
  • 11.5.3 Product Outlook
  • 11.5.4 Key Developments
• 11.6 Dolbey Systems, Inc.
  • 11.6.1 Overview
  • 11.6.2 Financial Performance
  • 11.6.3 Product Outlook
  • 11.6.4Key Developments
• 11.7 Artificial Medical Intelligence, Inc.
  • 11.7.1 Overview
  • 11.7.2 Financial Performance
  • 11.7.3 Product Outlook
  • 11.7.4 Key Developments
• 11.8 Craneware PLC.
  • 11.8.1 Overview
  • 11.8.2 Financial Performance
  • 11.8.3 Product Outlook
  • 11.8.4 Key Developments
• 11.9 Athenahealth, Inc.
  • 11.9.1 Overview
  • 11.9.2 Financial Performance
  • 11.9.3 Product Outlook
  • 11.9.4 Key Developments
• 11.10 Streamline Health Solutions, Inc.
  • 11.10.1 Overview
  • 11.10.2 Financial Performance
  • 11.10.3 Product Outlook
  • 11.10.4 Key Developments

12. APPENDIX

• 12.1 Related Research