Global AI-Enhanced Electronic Health Records (EHRs) Market

Description

Overview

Global AI-Enhanced Electronic Health Records (EHRs) Market reached US$ 5.3 billion in 2023 and is expected to reach US$ 37.5 billion by 2031, growing at a CAGR of 28.8% during the forecast period 2024-2031.

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

Product Code: HCIT8598

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)

13. Appendix

13.1. About Us and Services
13.2. Contact Us

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