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1542886

全球人工智慧增強型電子健康記錄 (EHR) 市場 - 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個工作天內

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簡介目錄

概述

2023 年，全球人工智慧增強型電子健康記錄 (EHR) 市場規模達到 53 億美元，預計到 2031 年將達到 375 億美元，2024-2031 年預測期間複合年成長率為 28.8%。

人工智慧提供了解釋 EHR 整合 PGHD 的先進方法，包括預測分析、機器學習、深度學習以及其他複雜分析。醫療保健公司可以利用人工智慧驅動的見解和患者資料來提高患者的治療效果和滿意度，改善診斷並提供更主動的客製化治療。

基於患者資訊和病史，人工智慧驅動的 EHR 系統使醫生能夠識別健康問題、預測住院情況並及早發現疾病。透過從 X 光、掃描和其他放射學圖片中提取見解，人工智慧也有助於早期發現醫療疾病。

市場動態：

驅動程式和限制

越來越多採用高階資料分析

先進的資料分析可幫助醫療保健提供者更有效地評估患者資料，從而製定更好的診斷和治療策略。識別健康資料的變化和趨勢使臨床醫生能夠做出更準確的決策，最終改善患者的治療結果。

人工智慧增強型電子病歷利用預測分析，利用先前的資料來預測患者的治療結果。這種能力使醫療專業人員能夠發現高風險患者、及早採取行動並調整治療策略，最終提高照護品質。

增強的資料分析使醫療保健組織能夠分析來自多個人群的資料，以檢測健康模式、疾病爆發和改進機會。這促進了預防性護理管理和資源分配，從而改善了整體公共衛生。

資料隱私和安全問題

在 EHR 內的人工智慧整合過程中，必須處理大量敏感患者資料。由於備受矚目的資料外洩可能會對組織的聲譽、財務和法律地位產生負面影響，組織對使用人工智慧技術猶豫不決。患者對其資料隱私的擔憂與日俱增。

細分市場分析

全球人工智慧增強型電子健康記錄 (EHR) 市場根據 EHR 類型、技術、應用、最終用戶和地區進行細分。

本地 EHR 軟體領域預計將主導市場佔有率

本地 EHR 軟體部分預計將佔據很大一部分市場佔有率。本地解決方案使醫療保健公司能夠保持對其資料的直接控制。由於公司可以建立自己的安全流程和保護措施，因此在考慮資料隱私和安全問題時這可能特別有吸引力。使用本地 EHR 解決方案可以在很大程度上客製化醫療保健公司的獨特需求。

透過整合根據公司工作流程和程序客製化的人工智慧工具，可以提高人工智慧應用程式的效率，而這種靈活性使之成為可能。許多醫療保健提供者更願意保留他們的遺留系統。對於希望在不徹底改造其 IT 基礎設施的情況下使用人工智慧的公司來說，本地 EHR 是一個明智的選擇，因為它們比基於雲端的替代方案更容易與當前系統進行頻繁互動。

市場地域佔有率

預計北美將在人工智慧增強型電子健康記錄（EHR）市場佔有率中佔據重要地位

預計北美將在市場佔有率中佔據主導地位。該地區可以獲得大量的醫療資料，這對於訓練人工智慧演算法至關重要。高品質結構化資料的可用性提高了 EHR 中人工智慧應用程式的效能。

該地區醫療保健技術的不斷進步以及該地區主要參與者的存在預計將保持該地區的市場佔有率。該地區越來越重視改善患者治療效果和降低醫療費用。人工智慧增強型電子病歷可以透過提供卓越的資料分析、預測建模和個人化治療計劃來幫助實現這些目標。

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)