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Global Clinical Decision Support Systems (CDSS) Market: Focus on Product Type, Model, User Interactivity, Application, and Regional Adoption - Analysis and Forecast, 2019-2028

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Global Clinical Decision Support Systems (CDSS) Market: Focus on Product Type, Model, User Interactivity, Application, and Regional Adoption - Analysis and Forecast, 2019-2028
Published: June 26, 2019 Content info: 229 Pages
Description

Global Clinical Decision Support Systems (CDSS) Market to Grow at a CAGR of 8.3% from 2019-2028

Key Questions Answered in the Report:

  • What are the major market drivers, challenges and opportunities in the global clinical decision support systems market and their case studies?
  • What is the Total Addressable Market (TAM), Segmental Addressable Market (SAM) and the potential market opportunity of the global clinical decision support systems market?
  • What is the market share of the leading segments and sub-segments of the global clinical decision support systems market in 2018 and 2028?
  • What did the CDSS market evolve and what are the factors that necessitated its evolution?
  • How will each segment of the clinical decision support systems market grow during the forecast period and what will be the revenue generated by each of the segments by the end of 2028?
  • What are the consumer preferences in terms of adoption of clinical decision support systems during the forecast period?
  • What are the key developmental strategies implemented by the key players to stand out in this market?
  • What is the preferred model used for building clinical decision support systems and how will this segment grow over during the forecast period?
  • How will the most preferred mode of software delivery grow during the forecast period?
  • Which application segment will be the highest revenue generator in this industry during the forecast period?
  • What is the scope of clinical decision support systems market in the emerging countries during the forecast period?

Global Clinical Decision Support Systems Market Forecast, 2019 -2028

The Global Clinical Decision Support Systems Market Report by BIS Research projects the market to grow at a significant CAGR of 8.3% during the forecast period from 2019 to 2028. The market has evolved dramatically with a rising number of deaths due to medical errors, changing reimbursement models, and healthcare delivery framework. These changes have fueled the level of investments in the clinical decision support systems. However, the major contributors to these changes remain rising healthcare costs and rapidly increasing rate of hospital readmissions. To combat these adverse events, healthcare organizations are more focused toward achieving evidence-based clinical outcomes with the help of CDS systems which generate alerts to prevent any misdiagnosis during any medical process.

Despite the benefits, the clinical decision support systems are experiencing a low adoption rate because of challenges pertaining to their implementation. CDSS tools are perceived by physicians as a threat to their professional autonomy. In addition to this, physicians do not appreciate the idea of overreliance on a device rather than their years of medical expertise.

Expert Quote on the Global Clinical Decision Support Systems Market

"Clinical decision support systems market is largely going to be driven by the urgent need to reduce global healthcare costs and rising number of deaths due to preventable medical errors. In terms of model used to develop a CDSS, knowledge-based systems are leading the market with 85% market share. Healthcare providers such as hospitals and physician groups are the largest end users for clinical decision support systems. The integration of CDSS with EMR systems is gaining more popularity in recent years and is dominating the product segment of the CDSS market."

Scope of the Market Intelligence on Global Clinical Decision Support Systems Market

The purpose of this study is to gain a holistic view of the global clinical decision support systems market in terms of various influencing factors such as regional adoption trends, technological advancements, and pricing patterns.

The scope of this report constitutes of an in-depth study of the global clinical decision support systems market, including a thorough analysis of the products across different regions. The market has been chiefly segmented into product type, model, user interactivity, application, and region. The report presents the reader with an opportunity to unlock comprehensive insights with respect to the market and helps in forming well-informed strategic decisions. The research uncovers some of the substantial parameters that must be taken into consideration before entering the market.

Global Clinical Decision Support Systems Market Segmentation

The Global Clinical Decision Support Systems Market can be segmented on the basis of "product type", "model", "user-interactivity", "application", and "region". The integrated CDSS (decision support tools integrated with EHR of CPOE systems) is the leading product segment in the market which accounted for 42% of the overall CDSS market in 2018. The market for the integrated system is expected to grow at a faster rate because of the extensive demand for solutions with interoperability and data sharing capabilities. On the other hand, the standalone segment is expected to grow at a slower rate as compared to the integrated systems due to their inability to be integrated with the clinical workflow of healthcare organizations.

In 2018, North America was estimated to be largest market for CDSS, with a revenue generation of $955.7 million in 2018. However, it is expected to witness a slow growth during the forecast period due to the consolidation of market in North America, especially in the U.S. The Asia-Pacific CDSS market is expected to grow at the highest CAGR during the forecast period, 2019-2028 due to improving IT infrastructure in the region and rising incidences of chronic diseases.

Furthermore, a plethora of opportunities is presented from emerging economies such as India and China. For example, China is struggling to deal with the problems associated with cataract faced by the aging population. The nation currently accounts for 18% (approximately 5 million) of the global population suffering from blindness, thus providing the key players an opportunity to work closely with local partners such as Bringspring Meehealth and Medicom to develop dual language decision support systems which could be adopted easily by the clinics in China.

Key Companies in the Clinical Decision Support Systems Market

Some of the major key players in the global clinical decision support systems market include Cerner Corporation, McKesson Corporation, Allscripts Healthcare Solutions, Inc., The National Decision Support Company, Zynx Health, VisualDx, FirstDataBank, Elsevier B.V, and IBM Corporation (through acquisition of Truven Health Analytics).

Table of Contents
Product Code: BH042B

Table of Contents

Executive Summary

1 Market Overview

  • 1.1 What are clinical decision support systems?
  • 1.2 How does it work?
  • 1.3 Prime objective of clinical decision support systems
  • 1.4 Technological Trends in the CDSS industry
    • 1.4.1 Transition from CDS version 1.0 to newer versions:
    • 1.4.2 Robotic Surgery:
    • 1.4.3 Natural Language Processing (NLP)
    • 1.4.4 Big Data Analytics
    • 1.4.5 Artificial Intelligence

2 Market Dynamics

  • 2.1 Overview
  • 2.2 Market Drivers
    • 2.2.1 Growing Emphasis on Reducing Medical Errors and Hospital Readmission Rates to Reduce Healthcare Costs
    • 2.2.2 Rise in the Number of Chronic Diseases
    • 2.2.3 Technological Advancements in the Field of Information Technology
  • 2.3 Market Restraints
    • 2.3.1 Lack of tech savvy medical professionals
    • 2.3.2 Reluctance of clinicians to use CDSS systems due to computer illiteracy
    • 2.3.3 Decline in the capital expenditure of hospitals
    • 2.3.4 Lack of Interoperability among CDSS and HER
    • 2.3.5 Data Security Breaches
  • 2.4 Market Opportunities
    • 2.4.1 Integration of CDSS with Blockchain
    • 2.4.2 Partnerships between CDSS vendors and cloud-based service providers
    • 2.4.3 Collaborations with precision medicine providers
    • 2.4.4 Business expansion in the emerging markets
    • 2.4.5 Product differentiation

3 Competitive Landscape

  • 3.1 Market Share Analysis, by Company
  • 3.2 Porter's Five Forces Analysis
  • 3.3 Industry Analysis
  • 3.4 Patent Landscape

4 Global Clinical Decision Support Systems (CDSS) Market, by User Interactivity

  • 4.1 Overview
  • 4.2 Active CDSS
  • 4.3 Passive Clinical Decision Support Systems

5 Global Clinical Decision Support Systems (CDSS) Market, by Model

  • 5.1 Knowledge-Based Clinical Decision Support Systems
  • 5.2 Non-Knowledge Based Clinical Decision Support Systems

6 Global Clinical Decision Support Systems (CDSS) Market, by Application

  • 6.1 Overview
  • 6.2 Preventive Care
  • 6.3 Diagnostics
  • 6.4 Follow-Up Management
  • 6.5 Clinical Reminders
  • 6.6 Others

7 Global Clinical Decision Support Systems (CDSS) Market, by Region

  • 7.1 North America
    • 7.1.1 U.S.
    • 7.1.2 Canada
  • 7.2 Europe
    • 7.2.1 Germany
    • 7.2.2 France
    • 7.2.3 U.K.
  • 7.3 Russia
  • 7.4 Asia-Pacific
    • 7.4.1 China
    • 7.4.2 Japan
    • 7.4.3 India
    • 7.4.4 Australia
    • 7.4.5 South Korea
    • 7.4.6 Rest-of-Asia-Pacific
      • 7.4.6.1 New Zealand
      • 7.4.6.2 Singapore
      • 7.4.6.3 Malaysia
  • 7.5 Rest-of-the-World
    • 7.5.1 Brazil
    • 7.5.2 Middle East

8 Company Profiles

  • 8.1 Allscripts Healthcare Solutions, Inc.
    • 8.1.1 Role of Allscripts Healthcare Solutions, Inc. in the Clinical Decision Support Staff Market
    • 8.1.2 Financials
      • 8.1.2.1 Financial Summary
    • 8.1.3 SWOT Analysis
  • 8.2 Cerner Corporation
    • 8.2.1 Overview
    • 8.2.2 Role of Cerner Corporation in the Clinical Decision Support Market
    • 8.2.3 Financials
      • 8.2.3.1 Financial Summary
    • 8.2.4 SWOT Analysis
  • 8.3 Epic Systems Corporation
    • 8.3.1 Overview
    • 8.3.2 Role of Epic Systems Corporation in the Clinical Decision Support Market
    • 8.3.3 SWOT Analysis
  • 8.4 ELSEVIER B.V
    • 8.4.1 Overview
      • 8.4.1.1 Parent Company: RELX Group Overview
    • 8.4.2 Role of ELSEVIER B.V in the Clinical Decision Support Market
    • 8.4.3 Financials
      • 8.4.3.1 Financial Summary
    • 8.4.4 ELSEVIER B.V: SWOT Analysis
  • 8.5 First Databank, Inc.
    • 8.5.1 Overview
      • 8.5.1.1 Parent Company: Hearst Communications Inc.: Overview
    • 8.5.2 Role of First Databank, Inc. in the Clinical Decision Support Market
    • 8.5.3 SWOT Analysis
  • 8.6 GE Healthcare
    • 8.6.1 Overview
    • 8.6.2 Role of GE Healthcare in the Clinical Decision Support Market
    • 8.6.3 Financials
      • 8.6.3.1 Financial Summary
    • 8.6.4 SWOT Analysis
  • 8.7 Inferscience, Inc.
    • 8.7.1 Overview
    • 8.7.2 Role of Inferscience, Inc. in the Clinical Decision Support Market
    • 8.7.3 SWOT Analysis
  • 8.8 McKesson Corporation
    • 8.8.1 Overview
    • 8.8.2 Role of Mckesson Corporation in the Clinical Decision Support Market
    • 8.8.3 Financials
      • 8.8.3.1 Financial Summary
    • 8.8.4 SWOT Analysis
  • 8.9 National Decision Support Company
    • 8.9.1 Overview
    • 8.9.2 Overview- Change Healthcare (Parent Company)
    • 8.9.3 Role of National Decision Support Company in the Clinical Decision Support Market
    • 8.9.4 SWOT Analysis
  • 8.10 Oncology Analytics, Inc.
    • 8.10.1 Overview
    • 8.10.2 Role of Oncology Analytics, Inc. in the Clinical Decision Support Market
    • 8.10.3 SWOT Analysis
  • 8.11 Persivia Inc.
    • 8.11.1 Overview
    • 8.11.2 Role of Persivia Inc. in the Clinical Decision Support Market
    • 8.11.3 SWOT Analysis
  • 8.12 Truven Health Analytics
    • 8.12.1 Overview
    • 8.12.2 Parent Company: IBM Corporation: Overview
    • 8.12.3 Role of IBM Corporation in the Clinical Decision Support Market
    • 8.12.4 Financials
      • 8.12.4.1 Financial Summary
    • 8.12.5 SWOT Analysis
  • 8.13 VisualDx
    • 8.13.1 Overview
    • 8.13.2 Role of VisualDx in the Clinical Decision Support Market
    • 8.13.3 SWOT Analysis
  • 8.14 Zynx Health
    • 8.14.1 Overview
    • 8.14.2 Parent Company: Hearst Business Media: Overview
    • 8.14.3 Role of Zynx Health Incorporated in the Clinical Decision Support Market
    • 8.14.4 SWOT Analysis
  • 8.15 Wolters Kluwer N.V
    • 8.15.1 Overview
    • 8.15.2 Role of Wolters Kluwer in the Clinical Decision Support Market
    • 8.15.3 Financials
      • 8.15.3.1 Financial Summary
    • 8.15.4 SWOT Analysis

9 Research Scope and Methodology

  • 9.1 Research Scope
  • 9.2 Global Clinical Decision Support Systems Market: Research Methodology

List of Tables

  • Table 1: Major causes of hospital readmission and their related costs ($million)
  • Table 2: Adoption Stages of Different Health IT Technologies
  • Table 1.1: Commercially Available Clinical Decision Support Systems
  • Table 1.2: Commercially Available Clinical Decision Support Systems
  • Table 1.3: Commercially Available Clinical Decision Support Systems
  • Table 1.4: Commercially Available Clinical Decision Support Systems
  • Table 1.5: Commercially Available Clinical Decision Support Systems
  • Table 2.1: Country-wise analysis of adverse events (2016)
  • Table 2.2: The Number of Hospital Readmissions and the Cost Associated with them
  • Table 2.3: Prevalence of Chronic Diseases in the U.S and the Cost Incurred to Treat the Disease
  • Table 2.4: Impact Analysis for Challenges in the Market
  • Table 3.1: Regulatory Scenario Across the World
  • Table 3.2: Patent Landscape in the Clinical Decision Support System Industry
  • Table 4.1: Active CDSS Advantages and Disadvantages
  • Table 4.2: Commercially Available Active CDSS Products
  • Table 4.3: Advantages and Disadvantages of Passive CDSS
  • Table 4.4: Commercially Available Passive CDSS Products
  • Table 6.1: Application Areas of Clinical Decision Support Systems with Examples
  • Table 6.2: Advantages and Disadvantages of Drug-Allergy/Drug-Drug Interaction Alerts
  • Table 6.3: Advantages and Disadvantages of Clinical Reminders
  • Table 6.4: Advantages and Disadvantages of Dosing Support
  • Table 7.1: Global Incidence of Chronic Diseases such as Stroke, and CVD (in 1000s) and their Associated Cost
  • Table 7.2: Clinical Decision Support: Top 10 Installed or Contracted Systems
  • Table 7.3: Top 10 Installed/Contracted Systems Hospitals- Under 100 Beds
  • Table 7.4: Top 10 Installed/Contracted Systems Hospitals- 100-199 Beds
  • Table 7.5: Top 10 Installed/Contracted Systems Hospitals-200-299 Beds
  • Table 7.6: Top 10 Installed/Contracted Systems Hospitals-300-399 Beds
  • Table 7.7: Top 10 Installed/Contracted Systems Hospitals-400-499 Beds
  • Table 7.8: Top 10 Installed/Contracted Systems Hospitals-500+ Beds
  • Table 7.9: Average Number of Deaths Due to Adverse Events in Different Provinces of Canada

List of Figures

  • Figure 1: Current Stage of Adoption and Future potential of Clinical Decision Support Tools
  • Figure 2: The Overall Dynamics of the Clinical Decision Support Systems Market
  • Figure 3: Global Clinical Decision Support Systems Market Revenue, 2019-2028 ($Million)
  • Figure 4: Global Clinical Decision Support Systems Market Snapshot, 2018
  • Figure 5: Global Clinical Decision Support Systems Market, by Product Type, 2018 and 2028
  • Figure 6: Global Clinical Decision Support Systems Market, by Model, 2018 and 2028
  • Figure 7: Global Clinical Decision Support Systems Market, by Application, 2018 and 2028
  • Figure 1.1: Evolution of Clinical Decision Support Systems Market
  • Figure 1.2: Addressable Market Size and Growth Potential
  • Figure 1.3: Overall Workflow of a CDSS System under a Clinical Setting
  • Figure 1.4: Snapshot of the Working of a Knowledge-based CDSS System
  • Figure 2.1: Key Drivers, Restraints, and Opportunities in the Market
  • Figure 2.2: Percentage of Hospital Readmissions
  • Figure 3.1: Global Clinical Decision Support Systems Market Share, by Company (2017)
  • Figure 3.2: Global Clinical Decision Support Systems Market Share, by Company (2018)
  • Figure 3.3: Share of Different Strategies in the Market
  • Figure 3.4: Porter's Five Forces Analysis
  • Figure 4.1: Segmentation of the Clinical Decision Support Systems Market by User Interactivity
  • Figure 4.2: Clinical Decision Support System Knowledge Cycle
  • Figure 4.3: Active CDSS by Type
  • Figure 5.1: Global Knowledge Based Clinical Decision Support Systems Market, $Million, 2018-2028
  • Figure 5.2: Components of a Knowledge-based Clinical Decision Support Systems
  • Figure 5.3: The Schema of a Knowledge-Based Clinical Decision Support System
  • Figure 5.4: The Framework of a Knowledge-Based Clinical Decision Support
  • Figure 5.5: Global Non-Knowledge Based Clinical Decision Support Systems Market, $Million, 2018-2028
  • Figure 5.6: The Components of Non-Knowledge Based Clinical Decision Support System
  • Figure 6.1: Global Preventive Care Based Clinical Decision Support Systems Market, $Million, 2018-2028
  • Figure 6.2: Global Diagnostics Based Clinical Decision Support Systems Market, $Million, 2018-2028
  • Figure 6.3: Global Follow up Management Based Clinical Decision Support Systems Market, $Million, 2018-2028
  • Figure 6.4: Role of Clinical Reminders for Clinical Decision Support (CDS)
  • Figure 6.5: Global Other Applications (Planning, Implementation, etc.) Based Clinical Decision Support Systems Market, $Million, 2018-2028
  • Figure 6.6: Other Areas of Application for Clinical Decision Support Systems
  • Figure 7.1: North America Clinical Decision Support Systems Market, $Million, 2018-2028
  • Figure 7.2: The U.S. Clinical Decision Support Systems Market, $Million, 2018-2028
  • Figure 7.3: Leading Causes of Death in the U.S. (2016)
  • Figure 7.4: Canada Clinical Decision Support Systems Market, $Million, 2018-2028
  • Figure 7.5: Snapshot of CDSS Vendor Market Share
  • Figure 7.6: ICT Solutions Used in Hospitals in Western and Eastern Europe
  • Figure 7.7: Europe Clinical Decision Support Systems Market, $Million, 2018-2028
  • Figure 7.8: Distribution of Medical Treatment Errors in Germany, in 2016, by Error Type
  • Figure 7.9: Germany Clinical Decision Support Systems Market, $Million, 2018-2028
  • Figure 7.10: France Clinical Decision Support Systems Market, $Million, 2018-2028
  • Figure 7.11: Number of Medical Errors Reported in France from 2005 to 2014
  • Figure 7.12: The U.K. Clinical Decision Support Systems Market, $Million, 2018-2028
  • Figure 7.13: Medication Error Reported in the U.K. (Per 100,000 Population)
  • Figure 7.14: Asia Pacific Clinical Decision Support Systems Market, $Million, 2018-2028
  • Figure 7.15: China Clinical Decision Support Systems Market, $Million, 2018-2028
  • Figure 7.16: Japan Clinical Decision Support Systems Market, $Million, 2018-2028
  • Figure 7.17: India Clinical Decision Support Systems Market, $Million, 2018-2028
  • Figure 7.18: Australia Clinical Decision Support Systems Market, $Million, 2018-2028
  • Figure 7.19: South Korea Clinical Decision Support Systems Market, $Million, 2018-2028
  • Figure 7.20: RoW Clinical Decision Support Systems Market, $Million, 2018-2028
  • Figure 7.21: Brazil Clinical Decision Support Systems Market, $Million, 2018-2028
  • Figure 7.22: KSA Clinical Decision Support Systems Market, $Million, 2018-2028
  • Figure 7.23: UAE Clinical Decision Support Systems Market, $Million, 2018-2028
  • Figure 7.24: Israel Clinical Decision Support Systems Market, $Million, 2018-2028
  • Figure 7.25: Rest of RoW Clinical Decision Support Systems Market, $Million, 2018-2028
  • Figure 8.1: Allscripts Healthcare Solutions, Inc.: Overall Financials, (2016-2018)
  • Figure 8.2: Allscripts Healthcare Solutions, Inc.: Revenue by Region, (2016-2018)
  • Figure 8.3: Allscripts Healthcare Solutions, Inc.: Revenue by Business Segment, (2016-2018)
  • Figure 8.4: Allscripts Healthcare Solutions, Inc.- SWOT Analysis
  • Figure 8.5: Cerner Corporation: Overall Financials (2016-2018)
  • Figure 8.6: Cerner Corporation: Net Revenue by Business Segment (2016-2018)
  • Figure 8.7: Cerner Corporation: Net Revenue by Region (2014-2016)
  • Figure 8.8: Cerner Corporation - SWOT Analysis
  • Figure 8.9: Swot Analysis: Epics Systems Corporation
  • Figure 8.10: ELSEVIER B.V: Overall Financials (2016-2018)
  • Figure 8.11: ELSEVIER B.V: Revenue by Business Segment (2016-2018)
  • Figure 8.12: ELSEVIER B.V: Revenue by Region (2016-2018)
  • Figure 8.13: ELSEVIER B.V - SWOT Analysis
  • Figure 8.14: First Databank, Inc. - SWOT Analysis
  • Figure 8.15: GE Corporation: Overall Financials (2016-2018)
  • Figure 8.16: GE Corporation: Net Revenue by Business Segment (2016-2018)
  • Figure 8.17: GE Corporation: Net Revenue by Region (2016-2018)
  • Figure 8.18: GE Healthcare: Revenue by Sub Segment: 2018
  • Figure 8.19: GE Healthcare: Net Revenue by Region (2016)
  • Figure 8.20: GE Healthcare: Net Revenue by Product Type (2016-2018)
  • Figure 8.21: GE Healthcare - SWOT Analysis
  • Figure 8.22: Inferscience, Inc. - SWOT Analysis
  • Figure 8.23: McKesson Corporation: Overall Financials (2017-2019)
  • Figure 8.24: McKesson Corporation: Net Revenue by Business Segment (2017-2019)
  • Figure 8.25: McKesson Corporation: Net Revenue by Region (2017-2019)
  • Figure 8.26: McKesson Corporation - SWOT Analysis
  • Figure 8.27: National Decision Support Company - SWOT Analysis
  • Figure 8.28: Oncology Analytics, Inc. - SWOT Analysis
  • Figure 8.29: Persivia SWOT Analysis
  • Figure 8.30: IBM Corporation: Overall Financials (2016-2018)
  • Figure 8.31: IBM Corporation: Net Revenue by Business Segment (2016-2018)
  • Figure 8.32: IBM Corporation: Net Revenue by Region (2014-2016)
  • Figure 8.33: IBM Corporation - SWOT Analysis
  • Figure 8.34: VisualDx - SWOT Analysis
  • Figure 8.35: Zynx Health - SWOT Analysis
  • Figure 8.36: Wolters Kluwer N.V: Overall Financials (2016-2018)
  • Figure 8.37: Wolters Kluwer N.V: Net Revenue by Business Segment (2016-2018)
  • Figure 8.38: Wolters Kluwer N.V.: Net Revenue by Region (2016-2018)
  • Figure 8.39: Wolters Kluwer - SWOT Analysis
  • Figure 9.1: Global Clinical Decision Support Systems Market Segmentation
  • Figure 9.2: Global Clinical Decision Support Systems Market Research Methodology
  • Figure 9.3: Primary Research
  • Figure 9.4: Secondary Research
  • Figure 9.5: Data Triangulation
  • Figure 9.6: Bottom-up Approach (Segment-wise Analysis)
  • Figure 9.7: Top-down Approach (Segment-wise Analysis)
  • Figure 9.8: Assumptions and Limitations
  • Figure 9.9: Considered Factors for Data Prediction and Modelling
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