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Clinical Decision Support Systems Market Report and Forecast 2023-2031

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    Report

  • 140 Pages
  • May 2023
  • Region: Global
  • Expert Market Research
  • ID: 5805743
The global clinical decision support systems market value was USD 1.6 billion in 2022, driven by the increasing emphasis on evidence-based practice across the globe. The market size is anticipated to grow at a CAGR of 9.8% during the forecast period of 2023-2031 to achieve a value of USD 3.8 billion by 2031.

Introduction

Clinical Decision Support Systems (CDSS) are computer-based tools that assist healthcare professionals in making clinical decisions by providing evidence-based recommendations, patient-specific information, and other relevant data at the point of care. These systems analyze patient data, such as medical history, laboratory results, and imaging studies, and offer suggestions for diagnosis, treatment, and patient management.

The key objective of CDSS is to improve healthcare outcomes, enhance patient safety, and optimize the efficiency of healthcare delivery. These systems help healthcare professionals by reducing errors, supporting evidence-based practice, promoting standardized care, and facilitating timely decision-making.

Key Trends in the Clinical Decision Support Systems Market

Some key trends involved in the clinical decision support systems market are as follows:
  • Integration with Electronic Health Records (EHR): CDSS is increasingly being integrated with EHR systems to streamline workflows and provide seamless access to patient information. This integration enables real-time data analysis and decision support at the point of care, improving efficiency and accuracy
  • Artificial Intelligence and Machine Learning: The incorporation of artificial intelligence (AI) and machine learning (ML) algorithms in CDSS has the potential to enhance its capabilities. AI and ML algorithms can analyze large volumes of patient data, identify patterns, and provide personalized recommendations, leading to more accurate and targeted clinical decision support

Clinical Decision Support Systems Market Segmentations

Market Breakup by Model

  • Knowledge-based CDSS
  • Non-Knowledge-based CDSS

Market Breakup by Model of Delivery

  • Cloud-based
  • On-premise

Market by Component

  • Hardware
  • Software
  • Services

Market Breakup by Application

  • Medical Diagnosis
  • Alerts and Reminders
  • Prescription Decision Support
  • Information Retrieval
  • Other Applications

Market Breakup by Region

North America

  • United States of America
  • Canada

Europe

  • United Kingdom
  • Germany
  • France
  • Italy
  • Others

Asia Pacific

  • China
  • Japan
  • India
  • ASEAN
  • Australia
  • Others

Latin America

  • Brazil
  • Argentina
  • Mexico
  • Others

Middle East and Africa

  • Saudi Arabia
  • United Arab Emirates
  • Nigeria
  • South Africa
  • Others

Clinical Decision Support Systems Market Scenario

The Clinical Decision Support Systems (CDSS) market is a rapidly growing sector within the healthcare industry. CDSS are computer-based tools that provide healthcare professionals with evidence-based recommendations and patient-specific information to assist in making clinical decisions. These systems help improve healthcare outcomes, reduce errors, and enhance patient safety by providing timely and accurate decision support at the point of care.

The market for CDSS is driven by several factors. Firstly, there is a growing emphasis on evidence-based practice and the need for healthcare providers to make informed decisions based on the latest research and clinical guidelines. CDSS can integrate and analyze vast amounts of medical data, including patient records, lab results, and drug databases, to generate recommendations that align with evidence-based practice.

In conclusion, the CDSS market is witnessing significant growth and innovation as healthcare providers seek tools to enhance decision-making and improve patient outcomes. The integration of AI and ML, mobile and cloud-based solutions, and the emphasis on interoperability are key trends driving the market. As healthcare continues to evolve, CDSS will play a vital role in supporting clinical decision-making and transforming healthcare delivery.

Clinical Decision Support Systems Market: Competitor Landscape

The key features of the market report include patent analysis, grants analysis, clinical trials analysis, funding and investment analysis, partnerships, and collaborations analysis by the leading key players. The major companies in the market are as follows:
  • McKesson Corporation
  • IBM Corporation
  • Siemens Healthineers GmbH
  • NextGen Healthcare Inc
  • Cerner Corporation
  • Agfa-Gevaert Group
  • Wolters Kluwer N.V
  • Koninklijke Philips N.V. (Royal Philips)
  • Allscripts Healthcare, LLC
  • athenahealth, Inc.

Table of Contents

1 Preface
1.1 Objectives of the Study
1.2 Key Assumptions
1.3 Report Coverage - Key Segmentation and Scope
1.4 Research Methodology
2 Executive Summary
3 Clinical Decision Support Systems Market Overview
3.1 Clinical Decision Support Systems Market Historical Value (2016-2022)
3.2 Clinical Decision Support Systems Market Forecast Value (2023-2031)
4 Clinical Decision Support Systems Market Landscape
4.1 Clinical Decision Support Systems: Developers Landscape
4.1.1 Analysis by Year of Establishment
4.1.2 Analysis by Company Size
4.1.3 Analysis by Region
4.2 Clinical Decision Support Systems Product Landscape
4.2.1 Analysis by Device Type
4.2.2 Analysis by Technology
4.2.3 Analysis by End User
5 Clinical Decision Support Systems Market Dynamics
5.1 Market Drivers and Constraints
5.2 SWOT Analysis
5.3 Porter’s Five Forces Model
5.4 Key Demand Indicators
5.5 Key Price Indicators
5.6 Industry Events, Initiatives, and Trends
5.7 Value Chain Analysis
6 Clinical Decision Support Systems Market Segmentation
6.1 Clinical Decision Support Systems Market by Model
6.1.1 Market Overview
6.1.2 Knowledge-based CDSS
6.1.3 Non Knowledge-based CDSS
6.2 Clinical Decision Support Systems Market by Mode of Delivery
6.2.1 Market Overview
6.2.2 Cloud-based
6.2.3 On-premise
6.3 Clinical Decision Support Systems Market by Component
6.3.1 Market Overview
6.3.2 Hardware
6.3.3 Software
6.3.4 Services
6.4 Clinical Decision Support Systems Market by Application
6.4.1 Market Overview
6.4.2 Medical Diagnosis
6.4.3 Alerts and Reminders
6.4.4 Prescription Decision Support
6.4.5 Information Retrieval
6.4.6 Other Applications
6.5 Clinical Decision Support Systems Market by Region
6.5.1 Market Overview
6.5.2 North America
6.5.3 Europe
6.5.4 Asia Pacific
6.5.5 Latin America
6.5.6 Middle East and Africa
7 North America Clinical Decision Support Systems
7.1 Market Share by Country
7.2 United States of America
7.3 Canada
8 Europe Clinical Decision Support Systems
8.1 Market Share by Country
8.2 United Kingdom
8.3 Germany
8.4 France
8.5 Italy
8.6 Others
9 Asia Pacific Clinical Decision Support Systems
9.1 Market Share by Country
9.2 China
9.3 Japan
9.4 India
9.5 ASEAN
9.6 Australia
9.7 Others
10 Latin America Clinical Decision Support Systems
10.1 Market Share by Country
10.2 Brazil
10.3 Argentina
10.4 Mexico
10.5 Others
11 Middle East and Africa Clinical Decision Support Systems
11.1 Market Share by Country
11.2 Saudi Arabia
11.3 United Arab Emirates
11.4 Nigeria
11.5 South Africa
11.6 Others
12 Regulatory Framework
12.1 Regulatory Overview
12.1.1 US FDA
12.1.2 EU EMA
12.1.3 INDIA CDSCO
12.1.4 JAPAN PMDA
12.1.5 Others
13 Patent Analysis
13.1 Analysis by Type of Patent
13.2 Analysis by Publication year
13.3 Analysis by Issuing Authority
13.4 Analysis by Patent Age
13.5 Analysis by CPC Analysis
13.6 Analysis by Patent Valuation
13.7 Analysis by Key Players
14 Grants Analysis
14.1 Analysis by year
14.2 Analysis by Amount Awarded
14.3 Analysis by Issuing Authority
14.4 Analysis by Grant Application
14.5 Analysis by Funding Institute
14.6 Analysis by NIH Departments
14.7 Analysis by Recipient Organization
15 Funding and Investment Analysis
15.1 Analysis by Funding Instances
15.2 Analysis by Type of Funding
15.3 Analysis by Funding Amount
15.4 Analysis by Leading Players
15.5 Analysis by Leading Investors
15.6 Analysis by Geography
16 Partnership and Collaborations Analysis
16.1 Analysis by Partnership Instances
16.2 Analysis by Type of Partnership
16.3 Analysis by Leading Players
16.4 Analysis by Geography
17 Supplier Landscape
17.1 McKesson Corporation
17.1.1 Financial Analysis
17.1.2 Product Portfolio
17.1.3 Demographic Reach and Achievements
17.1.4 Mergers and Acquisitions
17.1.5 Certifications
17.2 IBM Corporation
17.2.1 Financial Analysis
17.2.2 Product Portfolio
17.2.3 Demographic Reach and Achievements
17.2.4 Mergers and Acquisitions
17.2.5 Certifications
17.3 Siemens Healthineers GmbH
17.3.1 Financial Analysis
17.3.2 Product Portfolio
17.3.3 Demographic Reach and Achievements
17.3.4 Mergers and Acquisitions
17.3.5 Certifications
17.4 NextGen Healthcare Inc.
17.4.1 Financial Analysis
17.4.2 Product Portfolio
17.4.3 Demographic Reach and Achievements
17.4.4 Mergers and Acquisitions
17.4.5 Certifications
17.5 Cerner Corporation
17.5.1 Financial Analysis
17.5.2 Product Portfolio
17.5.3 Demographic Reach and Achievements
17.5.4 Mergers and Acquisitions
17.5.5 Certifications
17.6 Agfa-Gevaert Group
17.6.1 Financial Analysis
17.6.2 Product Portfolio
17.6.3 Demographic Reach and Achievements
17.6.4 Mergers and Acquisitions
17.6.5 Certifications
17.7 Wolters Kluwer N.V.
17.7.1 Financial Analysis
17.7.2 Product Portfolio
17.7.3 Demographic Reach and Achievements
17.7.4 Mergers and Acquisitions
17.7.5 Certifications
17.8 Koninklijke Philips N.V. (Royal Philips)
17.8.1 Financial Analysis
17.8.2 Product Portfolio
17.8.3 Demographic Reach and Achievements
17.8.4 Mergers and Acquisitions
17.8.5 Certifications
17.9 Allscripts Healthcare, LLC
17.9.1 Financial Analysis
17.9.2 Product Portfolio
17.9.3 Demographic Reach and Achievements
17.9.4 Mergers and Acquisitions
17.9.5 Certifications
17.10 Athenahealth, Inc.
17.10.1 Financial Analysis
17.10.2 Product Portfolio
17.10.3 Demographic Reach and Achievements
17.10.4 Mergers and Acquisitions
17.10.5 Certifications
18 Clinical Decision Support Systems - Distribution Model (Additional Insight)
18.1 Overview
18.2 Potential Distributors
18.3 Key Parameters for Distribution Partner Assessment
19 Key Opinion Leaders (KOL) Insights (Additional Insight)
20 Company Competitiveness Analysis (Additional Insight)
20.1 Very Small Companies
20.2 Small Companies
20.3 Mid-Sized Companies
20.4 Large Companies
20.5 Very Large Companies
21 Payment Methods (Additional Insight)
21.1 Government Funded
21.2 Private Insurance
21.3 Out-of-Pocket

Companies Mentioned

  • McKesson Corporation
  • IBM Corporation
  • Siemens Healthineers GmbH
  • NextGen Healthcare Inc.
  • Cerner Corporation
  • Agfa-Gevaert Group
  • Wolters Kluwer N.V.
  • Koninklijke Philips N.V. (Royal Philips)
  • Allscripts Healthcare LLC
  • Athenahealth Inc.

Methodology

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Table Information