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2023 年至 2028 年医疗保健自然语言处理 (NLP) 市场预测
市场调查报告书
商品编码
1410060

2023 年至 2028 年医疗保健自然语言处理 (NLP) 市场预测

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个工作天内

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简介目录

医疗保健自然语言处理 (NLP) 市场预计在预测期内将以 38.89% 的复合年增长率成长。

由于医疗保健环境中越来越多地采用 NLP 技术，医疗保健自然语言处理 (NLP) 市场正在经历显着增长。随着医疗保健组织意识到 NLP 在增强临床决策支援、资讯搜寻和资料分析方面的前景，医疗保健自然语言处理市场规模正在不断增长。特定供应商的医疗保健自然语言处理市场占有率可能会有所不同，具体取决于技术改进、产品供应、基本客群和行业关係等方面。医疗保健自然语言处理市场的成长是由对自然语言处理解决方案的需求持续增长以及医疗保健组织在有效分析非结构化医疗保健资料的需求驱动下越来越多地采用资料驱动技术所推动的。当我们学习这样做时，会更进一步。

介绍

应用先进的语言处理技术和演算法从非结构化医疗保健资料（例如临床记录、医学文献和患者记录）中提取有意义的信息，这在医疗保健领域被称为自然语言处理 (NLP)。自然语言处理技术透过支援文字资料的分析和解释来改善资讯搜寻、临床决策支援和医疗保健资料分析。

随着自然语言处理技术在医疗保健领域的巨大潜力被认识到，医疗保健自然语言处理市场规模正在迅速扩大。自然语言处理技术将非结构化资料转化为结构化、可操作的见解，实现更好的临床决策、改善病患治疗结果和优化医疗保健业务。医疗保健自然语言处理市场的成长在增强临床程序、促进高效资讯搜寻和推进医疗保健研究方面前景广阔。随着该领域产生大量非结构化资料，预计 NLP 技术的使用将会增加，从而彻底改变医疗保健分析并改变医疗保健专业人员与文字资料互动的方式。

医疗保健自然语言处理市场的主要企业

  • 3M 健康资讯系统3M 健康资讯系统公司为医疗保健提供各种自然语言处理 (NLP) 解决方案，包括临床文件丰富、编码和人口健康分析。该公司的 NLP 解决方案从非结构化资料中提取有价值的临床讯息，提高编码准确性并支持临床决策。
  • Linguamatics Linguamatics 专门为医疗保健和生命科学领域提供基于自然语言处理 (NLP) 的文字探勘解决方案。该公司的自然语言处理 (NLP) 引擎从临床笔记、文献和电子健康记录等非结构化文字中提取重要见解，以支援研究、资料分析和临床决策。
  • Clinithink Clinithink 为临床理解和语意搜寻提供 NLP 解决方案。该公司的自然语言处理 (NLP) 技术能够从非结构化临床文件中提取和分析结构化资料，从而支援临床研究、收益週期管理和品质报告等活动。
  • Health FidelityHealth Fidelity 提供基于 NLP 的编码和临床文件解决方案。透过自动分析和从非结构化资料来源中提取有价值的临床讯息，该公司的 NLP 软体支援正确的编码和收益週期管理。

市场驱动因素

非结构化医疗资料量不断增加

非结构化医疗保健资料的成长是指医疗保健中创建的难以组织和分类的资讯量的增加。临床记录、医师叙述、医学影像报告和其他文件都属于这一类。电子健康记录和数位医疗系统的成长推动了资料的爆炸性增长。有效管理非结构化资料并从中获取见解是一项重大挑战，而使用自然语言处理 (NLP) 等新兴技术来释放其对于决策和研究目的的价值也是一项重大挑战。

加强资讯搜寻和搜寻能力

医疗保健领域增强的资讯搜寻和搜寻能力涉及从大量医疗保健资料中快速、准确地检索重要资讯的能力。医疗保健领域的自然语言处理 (NLP) 方法提供改进的搜寻演算法、语义理解和上下文搜寻，帮助医疗保健专业人员快速访问用于临床决策和研究的信息，并进行识别和获取。

将 NLP 与医疗保健应用程式和系统集成

将自然语言处理 (NLP) 与医疗保健应用程式和系统整合意味着将自然语言处理技术纳入当前的医疗保健软体和平台。该介面能够从非结构化资料来源中分析和提取有用信息，从而改善临床决策支援、资料分析以及整体工作流程和系统效率。

人们越来越意识到 NLP 在医疗保健方面的好处

自然语言处理 (NLP) 在医疗保健领域的优势正得到越来越广泛的认可。 NLP 从临床笔记和医学文献等非结构化资料中提取有意义的见解的能力正在得到医疗保健领域的医生和组织的认可。高阶资讯搜寻、临床决策支援和人口健康管理都可以透过 NLP 实现。 NLP 可提高业务效率、调查技能，并实现更准确的编码和文件记录。随着人们认识的不断提高，医疗保健领域正在迅速采用 NLP 作为释放非结构化医疗保健资料潜力的强大工具。

医疗保健自然语言处理市场在预测期内正在稳步扩张。

医疗保健自然语言处理市场按组件、技术、应用和地区进行细分。组件进一步分为软体和服务。科技进一步分为机器学习和基于规则的技术。

北美是医疗保健自然语言处理市场的领导者

北美在医疗保健自然语言处理 (NLP) 市场占据主导地位。这主要是由于强大的医疗基础设施、早期的技术采用以及大公司的集中等因素造成的。由于其庞大的医疗保健业务和对数位健康计划的关注，美国对医疗保健自然语言处理市场份额做出了重大贡献。此外，该地区对研发、政府资助和重要医疗机构的高度重视都促进了北美医疗自然语言处理市场的成长。

主要进展

2023 年 4 月，3M 健康资讯系统 (HIS) 宣布与 Amazon Web Services (AWS) 建立合作伙伴关係，以加速 3M M*Modal环境智慧的开发和成长。作为合作伙伴关係的一部分，3M 将采用 AWS 机器学习 (ML) 和生成式 AI 服务，包括 Amazon Bedrock、Amazon Comprehend Medical 和 Amazon Transcribe Medical，以加速、改进和交付 3M 的环境临床文件和虚拟助理解决方案。扩张。 2022 年 12 月，Clinicthink新兴企业，与英国Astra Zeneca肿瘤学合作，在治疗更有可能成功的早期阶段识别肺癌患者。双方合作开展了一项旨在实现这一目标的新措施。该计划基于人工智慧方法，使用自然语言处理（NLP）和机器学习（ML）来识别无症状和有症状的早期肺癌患者。

目录

第一章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表

第二章调查方法

  • 调查资料
  • 先决条件

第三章执行摘要

  • 研究亮点

第四章市场动态

  • 市场驱动因素
  • 市场抑制因素
  • 波特五力分析
  • 产业价值链分析

第五章医疗保健自然语言处理 (NLP) 市场：按组成部分

  • 介绍
  • 软体
  • 服务

第六章医疗保健自然语言处理 (NLP) 市场：依技术分类

  • 介绍
  • 机器学习
  • 规则库

第 7 章 医疗保健自然语言处理 (NLP) 市场：依发展分类

  • 介绍
  • 云端基础
  • 本地

第八章医疗保健自然语言处理（NLP）市场：按应用分类

  • 介绍
  • 临床文件
  • 机器翻译
  • 医疗编码
  • 临床决策支持
  • 其他的

第九章医疗保健自然语言处理（NLP）市场：按地区

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他的
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 其他的
  • 中东/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 其他的
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 韩国
    • 印尼
    • 台湾
    • 其他的

第十章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作

第十一章 公司简介

  • 3M Company
  • IBM Corporation
  • Cerner Corporation
  • Nuance Communications, Inc.
  • Linguamatics（IQVIA）
  • Health Fidelity, Inc.
  • Clinithink Ltd.
  • Apixio Inc.
  • Health Catalyst, Inc.
简介目录
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.