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全球人工智慧增强型电子健康记录 (EHR) 市场 - 2024-2031

Global AI-Enhanced Electronic Health Records (EHRs) Market - 2024-2031

出版日期: 2024年08月26日 | 出版商:

DataM Intelligence | 英文 176 Pages | 商品交期: 最快1-2个工作天内

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简介目录

概述

2023 年，全球人工智慧增强型电子健康记录 (EHR) 市场规模达到 53 亿美元，预计到 2031 年将达到 375 亿美元，2024-2031 年预测期间复合年增长率为 28.8%。

人工智慧提供了解释 EHR 整合 PGHD 的先进方法，包括预测分析、机器学习、深度学习以及其他复杂分析。医疗保健公司可以利用人工智慧驱动的见解和患者资料来提高患者的治疗效果和满意度，改善诊断并提供更主动的客製化治疗。

基于患者资讯和病史，人工智慧驱动的 EHR 系统使医生能够识别健康问题、预测住院情况并及早发现疾病。透过从 X 光、扫描和其他放射学图片中提取见解，人工智慧也有助于早期发现医疗疾病。

市场动态：

驱动程式和限制

越来越多采用高阶资料分析

先进的资料分析可帮助医疗保健提供者更有效地评估患者资料，从而製定更好的诊断和治疗策略。识别健康资料的变化和趋势使临床医生能够做出更准确的决策，最终改善患者的治疗结果。

人工智慧增强型电子病历利用预测分析，利用先前的资料来预测患者的治疗结果。这种能力使医疗专业人员能够发现高风险患者、及早采取行动并调整治疗策略，最终提高照护品质。

增强的资料分析使医疗保健组织能够分析来自多个人群的资料，以检测健康模式、疾病爆发和改进机会。这促进了预防性护理管理和资源分配，从而改善了整体公共卫生。

资料隐私和安全问题

在 EHR 内的人工智慧整合过程中，必须处理大量敏感患者资料。由于备受瞩目的资料外洩可能会对组织的声誉、财务和法律地位产生负面影响，组织对使用人工智慧技术犹豫不决。患者对其资料隐私的担忧与日俱增。

细分市场分析

全球人工智慧增强型电子健康记录 (EHR) 市场根据 EHR 类型、技术、应用、最终用户和地区进行细分。

本地 EHR 软体领域预计将主导市场份额

本地 EHR 软体部分预计将占据很大一部分市场份额。本地解决方案使医疗保健公司能够保持对其资料的直接控制。由于公司可以建立自己的安全流程和保护措施，因此在考虑资料隐私和安全问题时这可能特别有吸引力。使用本地 EHR 解决方案可以在很大程度上客製化医疗保健公司的独特需求。

透过整合根据公司工作流程和程序定制的人工智慧工具，可以提高人工智慧应用程式的效率，而这种灵活性使之成为可能。许多医疗保健提供者更愿意保留他们的遗留系统。对于希望在不彻底改造其 IT 基础设施的情况下使用人工智慧的公司来说，本地 EHR 是一个明智的选择，因为它们比基于云端的替代方案更容易与当前系统进行频繁互动。

市场地域占有率

预计北美将在人工智慧增强型电子健康记录（EHR）市场份额中占据重要地位

预计北美将在市场份额中占据主导地位。该地区可以获得大量的医疗资料，这对于训练人工智慧演算法至关重要。高品质结构化资料的可用性提高了 EHR 中人工智慧应用程式的效能。

该地区医疗保健技术的不断进步以及该地区主要参与者的存在预计将保持该地区的市场份额。该地区越来越重视改善患者治疗效果和降低医疗费用。人工智慧增强型电子病历可以透过提供卓越的资料分析、预测建模和个人化治疗计划来帮助实现这些目标。

AI provides advanced methodologies for interpreting EHR-integrated PGHD, including predictive analytics, machine learning, and deep learning, and other complex analyses. Healthcare companies can enhance patient outcomes and satisfaction, improve diagnosis, and provide more proactive, customized treatment by utilizing AI-driven insights and patient data.

Based on patient information and medical history, AI-powered EHR systems enable doctors to identify health concerns, predict hospitalizations, and detect diseases early. By extracting insights from X-rays, scans, and other radiology pictures, AI also aids in the early detection of medical disorders.

Market Dynamics: Drivers & Restraints

Increasing adoption of advanced data analytics

Advanced data analytics helps healthcare providers evaluate patient data more effectively, resulting in better diagnoses and treatment strategies. Identifying variations and trends in health data allows clinicians to make more accurate decisions, ultimately improving patient outcomes.

AI-enhanced EHRs utilize predictive analytics to predict patient outcomes using previous data. This capacity enables medical professionals to detect high-risk patients, act early, and adapt treatment strategies, ultimately improving care quality.

Enhanced data analytics enables healthcare organizations to analyze data from multiple populations to detect health patterns, outbreaks of diseases, and opportunities for improvement. This promotes preventive care management and resource allocation, resulting in improved overall public health.

Data privacy and safety concerns

Large volumes of sensitive patient data must be handled during the AI integration procedure within EHRs. Organizations are hesitant to use AI technologies as a result of high-profile data breaches that may have negative effects on their reputation, finances, and legal standing. Patients' concerns over the privacy of their data are growing.

Market Segment Analysis

The global AI-enhanced electronic health records (EHRs) market is segmented based on EHR type, technology, application, end-users, and region.

The on-premise EHR Software segment is expected to dominate the market share

The on-premise EHR Software segment is expected to hold a significant portion of the market share. On-premise solutions allow healthcare companies to maintain direct control over their data. Because companies can establish their own security processes and safeguards, this might be especially attractive in considering data privacy and security concerns. A healthcare company's unique demands can be tailored to a great extent using on-premise EHR solutions.

The efficacy of AI applications can be increased by integrating AI tools that are customized to the company's workflows and procedures, made possible by this flexibility. A lot of healthcare providers prefer to remain with their legacy systems. For companies desiring to use AI without totally revamping their IT infrastructure, on-premise EHRs are a sensible option because they can frequently interact with current systems more readily than cloud-based alternatives.

Market Geographical Share

North America is expected to hold a significant position in the AI-enhanced electronic health records (EHRs) market share

North America is expected to hold a dominant position in the market share. The region has access to an extensive amount of healthcare data, which is critical for training AI algorithms. The availability of high-quality, structured data improves the performance of AI applications in EHRs.

The rising technological advancements in healthcare in the region and the presence of major players in the region are expected to hold the region in the market share. There is an increasing emphasis on improved patient outcomes in the region and lower healthcare expenses. AI-enhanced EHRs can help achieve these objectives by delivering superior data analytics, predictive modeling, and personalized treatment plans.

Market Segmentation

By EHR Type

On-Premise EHR Software

SaaS EHRs

Custom-Built EHR

By Technology

Machine Learning

Deep Learning

Natural Language Processing (NLP)

By Application

Data Management and Organization

Data Analysis and Insights

Predictive Analytics

Virtual Medical Assistance

Clinical Decision Support

Others

By End-User

Hospitals

Clinics

Ambulatory surgical centers

End-Users

By Region

North America

The U.S.

Canada

Mexico

Europe

Germany

France

Italy

Spain

Rest of Europe

South America

Brazil

Argentina

Rest of South America

Asia-Pacific

China

India

Japan

South Korea

Rest of Asia-Pacific

Middle East and Africa

Market Competitive Landscape

The major global players in the market include Epic Systems Corporation, Medical Information Technology, Inc., Microsoft, eClinicalWorks, Medical Information Technology, Inc., ScienceSoft USA Corporation, and Oracle among others.

Why Purchase the Report?

To visualize the global AI-enhanced electronic health records (EHRs) market segmentation based on EHR type, technology, application, end-users, and region as well as understand key commercial assets and players.

Identify commercial opportunities by analyzing trends and co-development.

Excel data sheet with numerous data points of AI-enhanced electronic health records (EHRs) market-level with all segments.

PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.

Product mapping available as excel consisting of key products of all the major players.

The global AI-enhanced electronic health records (EHRs) market report would provide approximately 53 tables, 47 figures, and 176 pages.

Target Audience 2024

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 EHR Type
3.2. Snippet by Technology
3.3. Snippet by Application
3.4. Snippet by End-Users
3.5. Snippet by Region

4. Dynamics

4.1. Impacting Factors
- 4.1.1. Drivers
  - 4.1.1.1. Increasing adoption of advanced data analytics
- 4.1.2. Restraints
  - 4.1.2.1. Data privacy and safety concerns
- 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
5.5. Reimbursement Analysis
5.6. Patent Analysis
5.7. SWOT Analysis
5.8. DMI Opinion

6. By EHR Type

6.1. Introduction
- 6.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By EHR Type
- 6.1.2. Market Attractiveness Index, By EHR Type
6.2. On-Premise EHR Software *
- 6.2.1. Introduction
- 6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
6.3. SaaS EHRs
6.4. Custom-Built EHR

7. By Technology

7.1. Introduction
- 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
- 7.1.2. Market Attractiveness Index, By Technology
7.2. Machine Learning*
- 7.2.1. Introduction
- 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. Deep Learning
7.4. Natural Language Processing (NLP)

8. By Application

8.1. Introduction
- 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 8.1.2. Market Attractiveness Index, By Application
8.2. Data Management and Organization *
- 8.2.1. Introduction
- 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
8.3. Data Analysis and Insights
8.4. Predictive Analytics
8.5. Virtual Medical Assistance
8.6. Clinical Decision Support
8.7. Others

9. By End-Users

9.1. Introduction
- 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-Users
- 9.1.2. Market Attractiveness Index, By End-Users
9.2. Hospitals*
- 9.2.1. Introduction
- 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
9.3. Clinics
9.4. Ambulatory surgical centers
9.5. End-Users

10. By Region

10.1. Introduction
- 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
- 10.1.2. Market Attractiveness Index, By Region
10.2. North America
- 10.2.1. Introduction
- 10.2.2. Key Region-Specific Dynamics
  - 10.2.2.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By EHR Type
  - 10.2.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  - 10.2.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
  - 10.2.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-Users
- 10.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 10.2.3.1. The U.S.
  - 10.2.3.2. Canada
  - 10.2.3.3. Mexico
10.3. Europe
- 10.3.1. Introduction
- 10.3.2. Key Region-Specific Dynamics
  - 10.3.2.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By EHR Type
  - 10.3.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  - 10.3.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 10.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-Users
- 10.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 10.3.4.1. Germany
  - 10.3.4.2. UK
  - 10.3.4.3. France
  - 10.3.4.4. Italy
  - 10.3.4.5. Spain
  - 10.3.4.6. Rest of Europe
10.4. South America
- 10.4.1. Introduction
- 10.4.2. Key Region-Specific Dynamics
  - 10.4.2.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By EHR Type
  - 10.4.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  - 10.4.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 10.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-Users
- 10.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 10.4.4.1. Brazil
  - 10.4.4.2. Argentina
  - 10.4.4.3. Rest of South America
10.5. Asia-Pacific
- 10.5.1. Introduction
- 10.5.2. Key Region-Specific Dynamics
  - 10.5.2.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By EHR Type
  - 10.5.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  - 10.5.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 10.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-Users
- 10.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 10.5.4.1. China
  - 10.5.4.2. India
  - 10.5.4.3. Japan
  - 10.5.4.4. South Korea
  - 10.5.4.5. Rest of Asia-Pacific
10.6. Middle East and Africa
- 10.6.1. Introduction
- 10.6.2. Key Region-Specific Dynamics
  - 10.6.2.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By EHR Type
  - 10.6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%), By Technology
  - 10.6.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
10.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-Users

11. Competitive Landscape

11.1. Competitive Scenario
11.2. Market Positioning/Share Analysis
11.3. Mergers and Acquisitions Analysis

12. Company Profiles

12.1. Epic Systems Corporation*
- 12.1.1. Company Overview
- 12.1.2. Product Portfolio and Description
- 12.1.3. Financial Overview
- 12.1.4. Key Developments
12.2. Medical Information Technology, Inc.
12.3. Microsoft
12.4. eClinicalWorks
12.5. Medical Information Technology, Inc.
12.6. ScienceSoft USA Corporation
12.7. Oracle (*LIST NOT EXHAUSTIVE)