查看購物車
  • Simplified Chinese
  • English
  • Japanese
2023 年至 2028 年醫療保健自然語言處理 (NLP) 市場預測
市場調查報告書
商品編碼
1410060

2023 年至 2028 年醫療保健自然語言處理 (NLP) 市場預測

Healthcare Natural Language Processing (NLP) Market - Forecasts from 2023 to 2028
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 140 Pages | 商品交期: 最快1-2個工作天內

價格
簡介目錄

醫療保健自然語言處理 (NLP) 市場預計在預測期內將以 38.89% 的複合年成長率成長。

由於醫療保健環境中擴大採用 NLP 技術，醫療保健自然語言處理 (NLP) 市場正在經歷顯著成長。隨著醫療保健組織意識到 NLP 在增強臨床決策支援、資訊搜尋和資料分析方面的前景，醫療保健自然語言處理市場規模正在不斷成長。特定供應商的醫療保健自然語言處理市場佔有率可能會有所不同，具體取決於技術改進、產品供應、基本客群和行業關係等方面。醫療保健自然語言處理市場的成長是由對自然語言處理解決方案的需求持續成長以及醫療保健組織在有效分析非結構化醫療保健資料的需求驅動下擴大採用資料驅動技術所推動的。當我們學習這樣做時，會更進一步。

介紹

應用先進的語言處理技術和演算法從非結構化醫療保健資料（例如臨床記錄、醫學文獻和患者記錄）中提取有意義的資訊，這在醫療保健領域被稱為自然語言處理 (NLP)。自然語言處理技術透過支援文字資料的分析和解釋來改善資訊搜尋、臨床決策支援和醫療保健資料分析。

隨著自然語言處理技術在醫療保健領域的巨大潛力被認知到，醫療保健自然語言處理市場規模正在迅速擴大。自然語言處理技術將非結構化資料轉化為結構化、可操作的見解，實現更好的臨床決策、改善病患治療結果和最佳化醫療保健業務。醫療保健自然語言處理市場的成長在增強臨床程序、促進高效資訊搜尋和推進醫療保健研究方面前景廣闊。隨著該領域產生大量非結構化資料，預計 NLP 技術的使用將會增加，從而徹底改變醫療保健分析並改變醫療保健專業人員與文字資料互動的方式。

醫療保健自然語言處理市場的主要企業

  • 3M 健康資訊系統3M 健康資訊系統公司為醫療保健提供各種自然語言處理 (NLP) 解決方案，包括臨床文件豐富、編碼和人口健康分析。該公司的 NLP 解決方案從非結構化資料中提取有價值的臨床訊息，提高編碼準確性並支持臨床決策。
  • Linguamatics Linguamatics 專門為醫療保健和生命科學領域提供基於自然語言處理 (NLP) 的文字探勘解決方案。該公司的自然語言處理 (NLP) 引擎從臨床筆記、文獻和電子健康記錄等非結構化文字中提取重要見解，以支援研究、資料分析和臨床決策。
  • Clinithink Clinithink 為臨床理解和語意搜尋提供 NLP 解決方案。該公司的自然語言處理 (NLP) 技術能夠從非結構化臨床文件中提取和分析結構化資料，從而支援臨床研究、收益週期管理和品質報告等活動。
  • Health FidelityHealth Fidelity 提供基於 NLP 的編碼和臨床文件解決方案。透過自動分析和從非結構化資料來源中提取有價值的臨床訊息，該公司的 NLP 軟體支援正確的編碼和收益週期管理。

市場促進因素

非結構化醫療資料量不斷增加

非結構化醫療保健資料的成長是指醫療保健中創建的難以組織和分類的資訊量的增加。臨床記錄、醫師敘述、醫學影像報告和其他文件都屬於這一類。電子健康記錄和數位醫療系統的成長推動了資料的爆炸性成長。有效管理非結構化資料並從中獲取見解是一項重大挑戰，而使用自然語言處理 (NLP) 等新興技術來釋放其對於決策和研究目的的價值也是一項重大挑戰。

加強資訊搜尋和搜尋能力

醫療保健領域增強的資訊搜尋和搜尋能力涉及從大量醫療保健資料中快速、準確地檢索重要資訊的能力。醫療保健領域的自然語言處理 (NLP) 方法提供改進的搜尋演算法、語義理解和上下文搜尋，幫助醫療保健專業人員快速訪問用於臨床決策和研究的資訊，並進行識別和獲取。

將 NLP 與醫療保健應用程式和系統整合

將自然語言處理 (NLP) 與醫療保健應用程式和系統整合意味著將自然語言處理技術涵蓋當前的醫療保健軟體和平台。該介面能夠從非結構化資料來源中分析和提取有用資訊，從而改善臨床決策支援、資料分析以及整體工作流程和系統效率。

人們越來越意識到 NLP 在醫療保健方面的好處

自然語言處理 (NLP) 在醫療保健領域的優勢正得到越來越廣泛的認可。 NLP 從臨床筆記和醫學文獻等非結構化資料中提取有意義的見解的能力正在得到醫療保健領域的醫生和組織的認可。高階資訊搜尋、臨床決策支援和人口健康管理都可以透過 NLP 實現。 NLP 可提高業務效率、調查技能，並實現更準確的編碼和文件記錄。隨著人們認知的不斷提高，醫療保健領域正在迅速採用 NLP 作為釋放非結構化醫療保健資料潛力的強大工具。

醫療保健自然語言處理市場在預測期內正在穩步擴張。

醫療保健自然語言處理市場按組件、技術、應用和地區進行細分。組件進一步分為軟體和服務。科技進一步分為機器學習和基於規則的技術。

北美是醫療保健自然語言處理市場的領導者

北美在醫療保健自然語言處理 (NLP) 市場佔據主導地位。這主要是由於強大的醫療基礎設施、早期的技術採用以及大公司的集中等因素造成的。由於其龐大的醫療保健業務和對數位健康計劃的關注，美國對醫療保健自然語言處理市場佔有率做出了重大貢獻。此外，該地區對研發、政府資助和重要醫療機構的高度重視都促進了北美醫療自然語言處理市場的成長。

主要進展

2023 年 4 月，3M 健康資訊系統 (HIS) 宣布與 Amazon Web Services (AWS) 建立合作夥伴關係，以加速 3M M*Modal環境智慧的開發和成長。作為合作夥伴關係的一部分，3M 將採用 AWS 機器學習 (ML) 和生成式 AI 服務，包括 Amazon Bedrock、Amazon Comprehend Medical 和 Amazon Transcribe Medical，以加速、改進和交付 3M 的環境臨床文件和虛擬助理解決方案。擴張。 2022 年 12 月，Clinicthink新興企業，與英國Astra Zeneca腫瘤學合作，在治療更有可能成功的早期階段識別肺癌患者。雙方合作開展了一項旨在實現這一目標的新措施。該計劃基於人工智慧方法，使用自然語言處理（NLP）和機器學習（ML）來識別無症狀和有症狀的早期肺癌患者。

目錄

第1章簡介

  • 市場概況
  • 市場定義
  • 調查範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表

第2章調查方法

  • 調查資料
  • 先決條件

第3章執行摘要

  • 研究亮點

第4章市場動態

  • 市場促進因素
  • 市場抑制因素
  • 波特五力分析
  • 產業價值鏈分析

第5章醫療保健自然語言處理 (NLP) 市場：按組成部分

  • 介紹
  • 軟體
  • 服務

第6章醫療保健自然語言處理 (NLP) 市場：依技術分類

  • 介紹
  • 機器學習
  • 規則庫

第 7 章 醫療保健自然語言處理 (NLP) 市場：依發展分類

  • 介紹
  • 雲端基礎
  • 本地

第8章醫療保健自然語言處理（NLP）市場：按應用分類

  • 介紹
  • 臨床文件
  • 機器翻譯
  • 醫療編碼
  • 臨床決策支持
  • 其他

第9章醫療保健自然語言處理（NLP）市場：按地區

  • 介紹
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 其他
  • 中東/非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 其他
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 韓國
    • 印尼
    • 台灣
    • 其他

第10章競爭環境及分析

  • 主要企業及策略分析
  • 市場佔有率分析
  • 合併、收購、協議和合作

第11章 公司簡介

  • 3M Company
  • IBM Corporation
  • Cerner Corporation
  • Nuance Communications, Inc.
  • Linguamatics（IQVIA）
  • Health Fidelity, Inc.
  • Clinithink Ltd.
  • Apixio Inc.
  • Health Catalyst, Inc.
簡介目錄
Product Code: KSI061615736

The healthcare natural language processing (NLP) market is anticipated to rise at a CAGR of 38.89% during the forecast period.

The healthcare natural language processing (NLP) market has experienced significant growth due to the increasing adoption of NLP technologies in healthcare settings. As healthcare organizations recognize the promise of NLP in enhancing clinical decision support, information retrieval, and data analytics, the healthcare natural language processing market size has grown. Specific suppliers' healthcare natural language processing market share may vary depending on aspects like technical improvements, product offerings, client base, and industry relationships. The healthcare natural language processing market growth is likely to develop further as demand for NLP solutions continues to climb and healthcare organizations increasingly embrace data-driven methods, driven by the requirement for effective analysis of unstructured healthcare data.

Introduction:

The application of advanced language processing techniques and algorithms to extract meaningful information from unstructured healthcare data, such as clinical notes, medical literature, and patient records, is referred to as healthcare natural language processing (NLP). NLP technologies improve information retrieval, clinical decision support, and healthcare data analytics by allowing the analysis and interpretation of textual data.

The healthcare natural language processing market size is expanding rapidly as the healthcare sector recognizes the enormous potential of natural language processing technology. NLP technology can convert unstructured data into structured and actionable insights, allowing for better clinical decision-making, improved patient outcomes, and optimized healthcare operations. The healthcare natural language processing market growth has enormous promise in terms of enhancing clinical procedures, facilitating efficient information retrieval, and advancing healthcare research. As the sector generates vast volumes of unstructured data, the usage of NLP technology is projected to increase, revolutionizing healthcare analytics and changing the way healthcare practitioners engage with textual data.

Key players in healthcare natural language processing market:

  • 3M Health Information Systems: 3M Health Information Systems provides a variety of natural language processing (NLP) solutions for healthcare, such as clinical documentation enhancement, coding, and population health analytics. Their NLP solutions aid in the extraction of valuable clinical information from unstructured data, hence improving coding accuracy and clinical decision support.
  • Linguamatics: Linguamatics specializes in natural language processing (NLP)--based text mining solutions for healthcare and life sciences. Their natural language processing (NLP) engine pulls significant insights from unstructured text, including clinical notes, literature, and electronic health records, to aid in research, data analytics, and clinical decision-making.
  • Clinithink: Clinithink offers NLP solutions for clinical comprehension and semantic search. Their natural language processing (NLP) technology enables the extraction and analysis of structured data from unstructured clinical documentation, therefore enabling activities like clinical research, revenue cycle management, and quality reporting.
  • Health Fidelity: NLP-powered coding and clinical documentation solutions are available from Health Fidelity. By automatically analyzing and extracting valuable clinical information from unstructured data sources, its NLP software supports proper coding and revenue cycle management.

MARKET DRIVERS:

Growing Volume of Unstructured Healthcare Data:

The increasing number of unstructured healthcare data refers to the growing amount of information created in healthcare that is difficult to organize or categorize. Clinical notes, physician narratives, medical imaging reports, and other documents fall under this category. This data explosion has been aided by the growth of electronic health records and digital healthcare systems. Managing and extracting insights from unstructured data effectively is a major problem, necessitating the use of modern technologies such as Natural Language Processing (NLP) to unlock its value for decision-making and research purposes.

Enhanced information retrieval and search capabilities:

Enhanced information retrieval and search skills in healthcare relate to the capacity to swiftly and correctly obtain important information from enormous amounts of healthcare data. Healthcare Natural Language Processing (NLP) approaches provide improved search algorithms, semantic comprehension, and context-aware retrieval, allowing healthcare workers to swiftly identify and retrieve information for clinical decision-making and research reasons.

Integration of NLP with healthcare applications and systems:

Natural Language Processing (NLP) integration with healthcare applications and systems entails embedding Natural Language Processing technology into current healthcare software and platforms. This interface enables the analysis and extraction of useful information from unstructured data sources, increasing clinical decision support, data analytics, and overall workflow and system efficiency.

Increasing awareness of NLP benefits in healthcare:

The benefits of Natural Language Processing (NLP) in healthcare are becoming more widely recognized. NLP's capacity to extract meaningful insights from unstructured data, such as clinical notes and medical literature, is becoming recognized by healthcare practitioners and organizations. Advanced information retrieval, clinical decision assistance, and population health management are all possible with NLP. It promotes operational efficiency, research skills, and leads to more accurate coding and documentation. The healthcare sector is rapidly adopting NLP as a powerful tool for unlocking the possibilities of unstructured healthcare data as awareness grows.

The healthcare natural language processing market is expanding at a steady rate in the forecast period.

The market for healthcare natural language processing is segmented by component, technology, application, and geography. The component is further segmented into software and services. Technology is further segmented into machine-learning and rule-based.

North America is a market leader in the healthcare natural language processing market.

North America dominates the healthcare natural language processing (NLP) market. This is mostly due to factors such as strong healthcare infrastructure, early technological adoption, and the region's high concentration of major players. Because of its huge healthcare business and emphasis on digital health efforts, the United States contributes considerably to healthcare natural language processing market share. Furthermore, the region's emphasis on R&D, government funding, and the presence of significant healthcare organizations all contribute to the healthcare natural language processing market growth in North America.

Key Developments:

  • In April 2023, 3M Health Information Systems (HIS) announced a partnership with Amazon Web Services (AWS) to speed the development and growth of 3M M*Modal ambient intelligence. 3M will employ AWS Machine Learning (ML) and generative AI services, such as Amazon Bedrock, Amazon Comprehend Medical, and Amazon Transcribe Medical, as part of the cooperation to help speed, refine, and expand the delivery of 3M's ambient clinical documentation and virtual assistant solutions.
  • In December 2022, Clinithink, the startup that created the world's first Healthcare AI capable of properly interpreting unstructured medical notes, collaborated with AstraZeneca Oncology UK on a new initiative aimed at identifying individuals with lung cancer at an early stage where therapy can be more successful. The project would be based on AI-approach where natural language processing (NLP) and Machine learning (ML) will be used to identify the asymptomatic and symptomatic patients who are in their early stage.

Segmentation

BY COMPONENT

  • Software
  • Services

BY TECHNOLOGY

  • Machine Learning
  • Rule-based

BY DEPLOYMENT

  • Cloud-based
  • On-premises

BY APPLICATION

  • Clinical Documentation
  • Machine Translation
  • Medical Coding
  • Clinical Decision Support
  • Others

BY GEOGRAPHY

  • North America
  • United States
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • United Kingdom
  • Germany
  • France
  • Italy
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
  • Asia Pacific
  • Japan
  • China
  • India
  • South Korea
  • Indonesia
  • Taiwan
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base, and Forecast Years Timeline

2. RESEARCH METHODOLOGY

  • 2.1. Research Data
  • 2.2. Assumptions

3. EXECUTIVE SUMMARY

  • 3.1. Research Highlights

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Force Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis

5. HEALTHCARE NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY COMPONENT

  • 5.1. Introduction
  • 5.2. Software
  • 5.3. Services

6. HEALTHCARE NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY TECHNOLOGY

  • 6.1. Introduction
  • 6.2. Machine Learning
  • 6.3. Rule-Based

7. HEALTHCARE NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY DEPLOYMENT

  • 7.1. Introduction
  • 7.2. Cloud-Based
  • 7.3. On-Premises

8. HEALTHCARE NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY APPLICATION

  • 8.1. Introduction
  • 8.2. Clinical Documentation
  • 8.3. Machine Translation
  • 8.4. Medical Coding
  • 8.5. Clinical Decision Support
  • 8.6. Others

9. HEALTHCARE NATURAL LANGUAGE PROCESSING (NLP) MARKET, BY GEOGRAPHY

  • 9.1. Introduction
  • 9.2. North America
    • 9.2.1. United States
    • 9.2.2. Canada
    • 9.2.3. Mexico
  • 9.3. South America
    • 9.3.1. Brazil
    • 9.3.2. Argentina
    • 9.3.3. Others
  • 9.4. Europe
    • 9.4.1. United Kingdom
    • 9.4.2. Germany
    • 9.4.3. France
    • 9.4.4. Italy
    • 9.4.5. Spain
    • 9.4.6. Others
  • 9.5. Middle East and Africa
    • 9.5.1. Saudi Arabia
    • 9.5.2. UAE
    • 9.5.3. Others
  • 9.6. Asia Pacific
    • 9.6.1. Japan
    • 9.6.2. China
    • 9.6.3. India
    • 9.6.4. South Korea
    • 9.6.5. Indonesia
    • 9.6.6. Taiwan
    • 9.6.7. Others

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 10.1. Major Players and Strategy Analysis
  • 10.2. Market Share Analysis
  • 10.3. Mergers, Acquisitions, Agreements, and Collaborations

11. COMPANY PROFILES

  • 11.1. 3M Company
  • 11.2. IBM Corporation
  • 11.3. Cerner Corporation
  • 11.4. Nuance Communications, Inc.
  • 11.5. Linguamatics (IQVIA)
  • 11.6. Health Fidelity, Inc.
  • 11.7. Clinithink Ltd.
  • 11.8. Apixio Inc.
  • 11.9. Health Catalyst, Inc.