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Artificial Intelligence In Medical Coding Global Market Analysis, Trends, Growth, Research And Forecast 2033

03-19-2024 12:06 PM CET | Health & Medicine

Press release from: The Business research company

Artificial Intelligence In Medical Coding Global Market

Artificial Intelligence In Medical Coding Global Market

The Business Research Company has released its latest global market reports, covering insights for 2024 and offering projections up to 2033.

The Business Research Company presents an extensive market research report on the Artificial Intelligence In Medical Coding Global Market Report 2024, furnishing businesses with a competitive edge through a detailed examination of the market structure, encompassing estimates for various segments and sub-segments.

Furthermore, the report highlights on emerging trends, significant drivers, challenges, and opportunities, providing all necessary data for thriving in the industry. This report market research offers a comprehensive perspective, including an in-depth analysis of the present and future scenarios within the industry.

Market Sizing:

The artificial intelligence in medical coding market size has grown rapidly in recent years. It will grow from $2.4 billion in 2023 to $2.74 billion in 2024 at a compound annual growth rate (CAGR) of 14.3%. The growth in the historic period can be attributed to increasing healthcare data volume, coding accuracy and efficiency, stringent regulatory requirements, revenue cycle management optimization, integration with electronic health records (ehrs).

The artificial intelligence in medical coding market size is expected to see rapid growth in the next few years. It will grow to $4.64 billion in 2028 at a compound annual growth rate (CAGR) of 14.0%. The growth in the forecast period can be attributed to natural language processing (nlp) advancements, continuous changes in healthcare coding standards, telehealth expansion, ai-driven clinical documentation improvement (cdi), increasing demand for healthcare analytics. Major trends in the forecast period include healthcare industry digitization, automated coding assistance, coding quality improvement, interoperability with electronic health records , risk adjustment coding solutions.

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Key Market Players:

Major companies operating in the artificial intelligence in medical coding market report are Pfizer Inc., Johnson & Johnson Services Inc., International Business Corporation, Medtronic Plc, Siemens Healthineers, Cerner Corporation, Fathom Inc., Nuance Communications Inc., M-Scribe Technologies LLC, Aideo Technologies LLC, Clinion IT Services Pvt. Ltd., BUDDI AI, CodaMetrix, Optum360 Solutions LLC, Diagnoss Inc., 3M Health Information Systems, Oncora Medical, Bio Symetrics, Dolbey Systems Inc., Streamline Health, Talix, Health Record Services Corporation, Saince Inc., Genesis Therapeutics, Epic Systems Corporation

Market Drivers:

The increasing demand for coding services is expected to propel the growth of the artificial intelligence in medical coding market going forward. The Coding services refer to the process of translating healthcare diagnoses, procedures, and medical services into universal medical alphanumeric codes. This is essential for accurate billing, insurance claim processing, and reimbursement. AI in medical coding enhances the efficiency, accuracy, and adaptability of coding services, ultimately benefiting healthcare organizations, medical coders, and patient care. For instance, in 2022, according to American Bureau of Labor Statistics, a US-based Government agency, employment for medical coders is increases about 8% in 2022. Therefore, the rise in the demand for coding services is driving the growth of the artificial intelligence in medical coding market.

Learn More About The Market Report -
https://www.thebusinessresearchcompany.com/report/artificial-intelligence-in-medical-coding-global-market-report

The artificial intelligence in medical coding market covered in this report is segmented -

1) By Component: In-House, Outsourced
2) By Technology: Machine Learning, Natural Language Processing (NLP) , Generative AI
3) By End-User: Healthcare Providers, Medical Billing Companies, Payers

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