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1542853

全球醫療保健文件市場中的語音辨識技術 - 2024-2031

Global Voice Recognition Technology in Healthcare Documentation Market - 2024-2031

出版日期: 2024年08月26日 | 出版商:

DataM Intelligence | 英文 183 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

概述

醫療保健文件市場中的全球語音辨識技術在 2023 年達到 85.6 億美元，預計到 2031 年將達到 241 億美元，2024-2031 年預測期間複合年成長率為 13.8%。

醫療記錄中的語音識別技術是指使用先進的軟體系統將口語轉換為文本，從而促進醫療記錄、臨床記錄和其他醫療保健相關通訊的記錄。

該技術採用人工智慧、機器學習和自然語言處理來準確轉錄和管理患者訊息，使醫療保健專業人員能夠將他們的觀察、診斷和治療計劃直接輸入到電子健康記錄 (EHR) 系統中。

醫療保健文件中的語音辨識技術正在改變醫療專業人員管理病患資訊的方式，透過其創新應用提高效率、準確性和病患照護。

市場動態：

司機

技術進步

醫療保健文件市場對全球語音辨識技術的需求是由多種因素所驅動的。醫療保健文件中的語音辨識技術受到人工智慧 (AI) 和自然語言處理 (NLP) 技術進步的推動。這些技術進步，加上對高效、準確的醫療保健文件不斷成長的需求，推動了語音識別在醫療保健行業的採用。

此外，併購和創新關鍵發展等關鍵參與者策略將推動該市場的成長。例如，2021 年 2 月，Nuance Communications 收購了 Saykara，這是一家專注於為醫療保健專業人員開發語音助理的新創公司。此次收購預計將增強 Nuance 在醫療保健領域的舉措，特別是在它尋求推進其免持文件解決方案時。 Saykara 的技術旨在簡化醫生的文件流程，從而實現更有效率的患者互動並減輕管理負擔。

此外，Dolbey 於 2024 年 3 月推出了 AI Assist，這是由 nVoq 提供支援的 Fusion Narrate 平台的擴展，它利用生成式 AI 來簡化醫療保健工作流程。這項尖端技術使醫療保健提供者能夠在安全、符合 HIPAA 的環境中自動執行重複性任務、提高工作效率並加強患者護理。

限制

高昂的實施成本、資料安全和隱私問題以及熟練專業人員的有限等因素預計將阻礙市場的發展。

This technology employs artificial intelligence, machine learning, and natural language processing to accurately transcribe and manage patient information, allowing healthcare professionals to dictate their observations, diagnoses, and treatment plans directly into electronic health record (EHR) systems.

Voice recognition technology in healthcare documentation is transforming the way medical professionals manage patient information, enhancing efficiency, accuracy, and patient care through its innovative applications.

Market Dynamics: Drivers

Technological advancements

The demand for global voice recognition technology in healthcare documentation market is driven by multiple factors. Voice recognition technology in healthcare documentation has been driven by technological advancements in artificial intelligence (AI) and natural language processing (NLP). These technological advancements, coupled with the growing demand for efficient and accurate healthcare documentation, have propelled the adoption of voice recognition in the healthcare industry.

Moreover, key player strategies such as mergers & acquisitions and innovative key developments would propel this market growth. For instance, in February 2021, Nuance Communications acquired Saykara, a startup focused on developing a voice assistant for healthcare professionals. This acquisition is anticipated to enhance Nuance's initiatives in healthcare, particularly as it seeks to advance its hands-free documentation solutions. Saykara's technology is designed to streamline the documentation process for physicians, allowing for more efficient patient interactions and reducing administrative burdens.

Also, in March 2024, Dolbey launched AI Assist, an expansion of its Fusion Narrate platform powered by nVoq, which leverages generative AI to streamline healthcare workflows. This cutting-edge technology enables healthcare providers to automate repetitive tasks, boost productivity, and enhance patient care within a secure, HIPAA-compliant environment.

Restraints

Factors such as the high cost of implementation, data security & privacy concerns, and limited availability of skilled professionals, are expected to hamper the market.

Segment Analysis

The global voice recognition technology in healthcare documentation market is segmented based on technology, application, end-user, and region.

The voice recognition segment accounted for approximately 76.5% of the global voice recognition technology in healthcare documentation market share.

The voice recognition segment is expected to hold the largest market share over the forecast period. Voice recognition is a deep learning technique used to identify, distinguish, and authenticate a particular person's voice. It evaluates an individual's unique voice biometrics, including frequency and flow of pitch, and natural accent.

Voice recognition technology in healthcare enables healthcare providers to convert spoken language into text, facilitating more efficient documentation processes. This technology is particularly valuable in environments where time is of the essence, allowing clinicians to focus on patient care rather than administrative tasks.

The introduction of this new type of technology will make it much easier for physicians to listen to patients with hearing impairments or those who speak a different language. It can also help them deal with other issues like getting information at the same time as they are performing an exam. It sounds like something out of science fiction but in reality, voice recognition software already exists and is being used successfully by many people around the world including speech therapists.

Moreover, key players in the industry introducing innovative technological launches in the voice recognition segment that would propel this market growth. For instance, in February 2024, FUJIFILM Sonosite Inc., launched the Sonosite Voice Assist application, a groundbreaking voice command feature that allows proceduralists to operate their Sonosite PX and Sonosite LX systems hands-free during sterile or clean procedures, such as central venous access and peripheral nerve blocks.

The Voice Assist can be activated with the simple command "Activate Voice," enabling proceduralists to manage critical functions without physical contact during exams. This innovation not only streamlines workflow but also helps maintain a sterile environment, allowing healthcare providers to focus more on patient care.

Similarly, in April 2022, An NHS health informatics specialist introduced voice recognition technology at a Yorkshire hospital trust to streamline the processes involved in recording, verifying, and dispatching patients' clinical notes and letters. The Health Informatics Service (THIS) has implemented this technology to enhance operations at Calderdale and Huddersfield NHS Foundation Trust, which includes Huddersfield Royal Infirmary and Calderdale Royal Hospital, as well as community outreach services.

Geographical Analysis

North America accounted for approximately 43.8% of the global voice recognition technology in healthcare documentation market share.

North America region is expected to hold the largest market share over the forecast period owing to the increasing adoption of electronic health records (EHRs), the increasing need for efficient documentation, and reducing transcription costs helping to drive this market growth in this region.

Moreover, well-defined healthcare infrastructure, key player's presence, & strategies such as partnerships & collaborations, and innovative launches propel this market growth. For instance, in April 2023, Augmedix partnered with HCA Healthcare, a major U.S. healthcare provider, to expedite the development of technology designed to revolutionize patient care documentation in acute care settings. This collaboration aims to transform the way clinicians record patient information, streamlining the process and allowing them to focus more on delivering high-quality care.

Similarly, in June 2024, Oracle announced the general availability of its Clinical Digital Assistant for ambulatory clinics in the United States, marking a significant advancement in the integration of artificial intelligence (AI) within healthcare. This innovative solution aims to transform doctor-patient interactions by utilizing generative AI, clinical intelligence, and multimodal assistance to streamline workflows and alleviate the administrative burdens faced by healthcare providers.

In addition, key players in this region more focus on clinical documentation and its applications in the healthcare industry helps to drive this market growth in the region. For instance, in March 2023, Nuance Communications, Inc., unveiled Dragon Ambient eXperience (DAX) Express, a fully automated clinical documentation application that integrates seamlessly into workflows.

This innovative solution is the first to merge established conversational and ambient AI with OpenAI's latest model, GPT-4. Building on the success of the Dragon Medical portfolio and the DAX ambient solution launched in 2020, DAX Express represents a significant advancement in Nuance's ongoing mission to alleviate administrative burdens, enabling clinicians to dedicate more time to patient care rather than paperwork.

Market Segmentation

By Technology

Speech Recognition
Voice Recognition
Artificial Intelligence (AI)
Non-AI

By Application

Clinical Documentation
Virtual Nursing Assistants
Patient Engagement
Others

By End-User

Hospitals & Specialty Clinics
Ambulatory Surgical Centers
Home Healthcare

By Region

North America
- U.S.
- Canada
- Mexico
Europe
- Germany
- U.K.
- France
- Spain
- Italy
- Rest of Europe
South America
- Brazil
- Argentina
- The rest of South America
Asia-Pacific
- China
- India
- Japan
- South Korea
- Rest of Asia-Pacific
Middle East and Africa

Competitive Landscape

The major global players in voice recognition technology in the healthcare documentation market include ScienceSoft USA Corporation, Amazon Web Services, Inc., IBM, Medical Information Technology, Inc., Microsoft (Nuance Communications, Inc.), 3M, Dolbey, Verint Systems, Inc., Suki AI, Inc., and Cedar Cares, Inc. among others.

Key Developments

In June 2024, Suki announced the launch of enhanced features for the Suki Platform, its suite of developer tools. This platform enables healthcare technology solutions, such as electronic health record (EHR) systems, to integrate Suki's AI and voice functionalities into their applications. The newly introduced software development kit (SDK) allows developers to seamlessly embed the Suki Assistant into their solutions, enhancing the user experience with voice capabilities.
In April 2024, GE HealthCare introduced two new ultrasound systems, the Voluson Signature 20 and 18, which are enhanced with artificial intelligence to improve women's health diagnostics. These systems feature AI capabilities that can automatically identify and annotate fetal anatomy, provide guidance for fetal heart assessments, and assist in imaging pelvic floors and classifying fibroids.
In November 2022, 3M unveiled AI-powered speech recognition technology aimed at accelerating digital health transformation in the region. This innovative solution will assist clinicians across various care environments in accurately capturing comprehensive patient information while allowing them to concentrate on delivering high-quality care.
In October 2023, Suki announced an expansion of its voice assistant capabilities to include support for inpatient care. This development makes Suki the first and only AI-driven voice solution specifically designed for clinicians in hospital settings, further establishing the company as a pioneer in the healthcare sector.
In February 2023, Cedar announced its collaboration with Google Cloud to utilize generative AI tools, including Vertex AI and Generative AI App Builder. This partnership aims to create solutions that help patients better understand and manage their healthcare bills.

Why Purchase the Report?

To visualize the global voice recognition technology in healthcare documentation market segmentation based on technology, application, end-user, and region and understand key commercial assets and players.
Identify commercial opportunities by analyzing trends and co-development.
Excel data sheet with numerous data points of the voice recognition technology in the healthcare documentation market with all segments.
PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
Product mapping is available in Excel consisting of key products of all the major players.

The global voice recognition technology in healthcare documentation market report would provide approximately 62 tables, 56 figures, and 183 pages.

Target Audience 2023

Manufacturers/ Buyers
Industry Investors/Investment Bankers
Research Professionals
Emerging Companies

1. Methodology and Scope

1.1. Research Methodology
1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

3.1. Snippet by Technology
3.2. Snippet by Application
3.3. Snippet by End-User
3.4. Snippet by Region

4. Dynamics

4.1. Impacting Factors
- 4.1.1. Drivers
  - 4.1.1.1. Technological Advancements
- 4.1.2. Restraints
  - 4.1.2.1. High Cost of Implementation
- 4.1.3. Opportunity
- 4.1.4. Impact Analysis

5. Industry Analysis

5.1. Porter's Five Force Analysis
5.2. Supply Chain Analysis
5.3. Pricing Analysis
5.4. Regulatory Analysis

6. By Technology

6.1. Introduction
- 6.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 6.1.2. Market Attractiveness Index, By Technology
6.2. Speech Recognition *
- 6.2.1. Introduction
- 6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
6.3. Voice Recognition
6.4. Artificial Intelligence (AI)
6.5. Non-AI

7. By Application

7.1. Introduction
- 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 7.1.2. Market Attractiveness Index, By Application
7.2. Clinical Documentation *
- 7.2.1. Introduction
- 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. Virtual Nursing Assistants
7.4. Patient Engagement
7.5. Others

8. By End-User

8.1. Introduction
- 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 8.1.2. Market Attractiveness Index, By End-User
8.2. Hospitals & Specialty Clinics *
- 8.2.1. Introduction
- 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
8.3. Ambulatory Surgical Centers
8.4. Home Healthcare

9. By Region

9.1. Introduction
- 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
- 9.1.2. Market Attractiveness Index, By Region
9.2. North America
- 9.2.1. Introduction
- 9.2.2. Key Region-Specific Dynamics
- 9.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 9.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 9.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 9.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 9.2.6.1. U.S.
  - 9.2.6.2. Canada
  - 9.2.6.3. Mexico
9.3. Europe
- 9.3.1. Introduction
- 9.3.2. Key Region-Specific Dynamics
- 9.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 9.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 9.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 9.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 9.3.6.1. Germany
  - 9.3.6.2. U.K.
  - 9.3.6.3. France
  - 9.3.6.4. Spain
  - 9.3.6.5. Italy
  - 9.3.6.6. Rest of Europe
9.4. South America
- 9.4.1. Introduction
- 9.4.2. Key Region-Specific Dynamics
- 9.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 9.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 9.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 9.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 9.4.6.1. Brazil
  - 9.4.6.2. Argentina
  - 9.4.6.3. Rest of South America
9.5. Asia-Pacific
- 9.5.1. Introduction
- 9.5.2. Key Region-Specific Dynamics
- 9.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 9.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 9.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 9.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 9.5.6.1. China
  - 9.5.6.2. India
  - 9.5.6.3. Japan
  - 9.5.6.4. South Korea
  - 9.5.6.5. Rest of Asia-Pacific
9.6. Middle East and Africa
- 9.6.1. Introduction
- 9.6.2. Key Region-Specific Dynamics
- 9.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 9.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 9.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

10. Competitive Landscape

10.1. Competitive Scenario
10.2. Market Positioning/Share Analysis
10.3. Mergers and Acquisitions Analysis

11. Company Profiles

11.1. ScienceSoft USA Corporation *
- 11.1.1. Company Overview
- 11.1.2. Product Portfolio and Description
- 11.1.3. Financial Overview
- 11.1.4. Key Developments
11.2. Amazon Web Services, Inc
11.3. IBM
11.4. Medical Information Technology, Inc
11.5. Microsoft (Nuance Communications, Inc
11.6. 3M
11.7. Dolbey
11.8. Verint Systems, Inc
11.9. Suki AI, Inc
11.10. Cedar Cares, Inc

LIST NOT EXHAUSTIVE