Clinical Decision Support Systems Market by Component (Services, Software), Delivery Mode, Product, Application, Model (Knowledge-based), Type (Therapeutic, Diagnostic), Interactivity (Active, Passive), and Settings - Global Forecasts to 2024

  • Report ID:MRHC - 104248
  • Pages: 117
  • Apr 2019
  • Formats*: PDF
  • Category: Healthcare

1 Introduction
   1.1 Market Definition
   1.2 Market Scope
   1.3 Years Considered for the Study
   1.4 Currency
   1.5 Limitations
   1.6 Stakeholders

2 Research Methodology
   2.1 Secondary Data
   2.2 Primary Data
   2.3 Market Size Estimation
   2.4 Market Breakdown and Data Triangulation

3 Executive Summary

4 Market Insights
   4.1 Introduction
   4.2 Market Drivers
         4.2.1 Increasing adoption of EHRs
         4.2.2 Government Support and Initiatives
         4.2.3 Growing Incidence of Medication Errors
         4.2.4 Rising Importance and Usage of Big Data and mhealth Tools
         4.2.5 Increasing Partnerships Between Medical Research Groups and Clinical Decision Support
                  Companies
         4.2.6 Rapid Growth in the Geriatric Population and High Prevalence of Chronic Diseases
   4.3 Restraints
         4.3.1 Data Security Concerns Related to Cloud-Based CDSS
         4.3.2 Lack of Interoperability
         4.3.3 Reluctance to Adopt Mobile CDSS
   4.4 Opportunities
         4.4.1 Emerging Economies
         4.4.2 Cloud-based CDSS
   4.5 Challenges
         4.5.1 Lack of Skilled IT Professionals in the Healthcare Industry
         4.5.2 Integration of CDSS Solutions Within Healthcare Organizations

5 Clinical Decision Support Systems Market, by Component
   5.1 Introduction
   5.2 Services
   5.3 Software
   5.4 Hardware

6 Clinical Decision Support Systems Market, by Product
   6.1 Introduction
   6.2 Integrated CDSS
   6.3 Standalone CDSS

7 Clinical Decision Support Systems Market, by Type
   7.1 Introduction
   7.2 Therapeutic CDSS
   7.3 Diagnostic CDSS

8 Clinical Decision Support Systems Market, by Model
   8.1 Introduction
   8.2 Knowledge-Based CDSS
   8.3 Non-Knowledge-Based CDSS

9 Clinical Decision Support Systems Market, by Delivery Mode
   9.1 Introduction
   9.2 On-Premise CDSS
   9.3 Cloud-Based CDSS

10 Clinical Decision Support Systems Market, by Application
     10.1 Introduction
     10.2 Conventional CDSS
             10.2.1 Drug-drug interactions
             10.2.2 Drug allergy alerts
             10.2.3 Drug dosing support
             10.2.4 Clinical reminders
             10.2.5 Clinical guidelines
             10.2.6 Others
     10.3 Advanced CDSS

11 Clinical Decision Support Systems Market, by Level of Interactivity
     11.1 Introduction
     11.2 Active CDSS
     11.3 Passive CDSS

12 Clinical Decision Support Systems Market, by Settings
     12.1 Introduction
     12.2 Inpatient Settings
     12.3 Ambulatory Care Settings

13 Clinical Decision Support Systems Market, by Geography
     13.1 Introduction
             13.2 North America
             13.2.1 U.S.
             13.2.2 Canada
     13.3 Europe
             13.3.1 Germany
             13.3.2 U.K.
             13.3.3 France
             13.3.4 Spain
             13.3.5 Italy
             13.3.6 RoE
     13.4 Asia-Pacific
             13.4.1 Japan
             13.4.2 China
             13.4.3 India
             13.4.4 RoAPAC
     13.5 RoW

14 Competitive Landscape
     14.1 Introduction
     14.2 Competitive Benchmarking
     14.3 Market share analysis, by Key Players

15 Company Profiles
     15.1 Allscripts Healthcare Solutions, Inc.
            15.1.1 Business Overview
            15.1.2 Financial Overview
            15.1.3 Product Portfolio
            15.1.4 Strategic Developments
     15.2 Cerner Corporation
            15.2.1 Business Overview
            15.2.2 Financial Overview
            15.2.3 Product Portfolio
            15.2.4 Strategic Developments
     15.3 Elsevier B.V. (A Division of Relx Group)
            15.3.1 Business Overview
            15.3.2 Financial Overview
            15.3.3 Product Portfolio
            15.3.4 Strategic Developments
     15.4 Epic Systems
            15.4.1 Business Overview
            15.4.2 Financial Overview
            15.4.3 Product Portfolio
            15.4.4 Strategic Developments
     15.5 Hearst Health
            15.5.1 Business Overview
            15.5.2 Financial Overview
            15.5.3 Product Portfolio
            15.5.4 Strategic Developments
     15.6 IBM
            15.6.1 Business Overview
            15.6.2 Financial Overview
            15.6.3 Product Portfolio
            15.6.4 Strategic Developments
     15.7 MEDITECH
            15.7.1 Business Overview
            15.7.2 Financial Overview
            15.7.3 Product Portfolio
            15.7.4 Strategic Developments
     15.8 McKesson Corporation (Change Healthcare)
            15.8.1 Business Overview
            15.8.2 Financial Overview
            15.8.3 Product Portfolio
            15.8.4 Strategic Developments
     15.9 Philips Healthcare (A Subsidiary of Royal Philips Electronics)
            15.9.1 Business Overview
            15.9.2 Financial Overview
            15.9.3 Product Portfolio
            15.9.4 Strategic Developments
     15.10 Wolters Kluwer Health
              15.10.1 Business Overview
              15.10.2 Financial Overview
              15.10.3 Product Portfolio
              15.10.4 Strategic Developments

16 Appendix
     16.1 Questionnaire
     16.2 Available Customization

The key factors driving the growth of Clinical Decision Support System (CDSS) market are increasing incidence of medical errors, increasing adoption of mhealth tools & big data, value-based reimbursements, and increasing government initiatives and corporate investments. Moreover, increasing adoption of cloud computing in healthcare as well as emerging economies offer significant growth opportunities for CDSS market players. In recent years, this market has witnessed significant rise in collaborations/partnerships between CDSS companies and hospitals to develop and provide software updated with latest information. Another major trend observed in the market is integration of CDSS with Electronic Health Record (EHR).

The major factors fueling the growth of CDSS market include increasing adoption of EHRs, rising importance and usage of big data and mhealth tools, growing incidence of medication errors, increasing adoption of cloud computing in healthcare, government support, and technological advancements.

According to the National Institutes of Health, medical errors are most common at the ordering or prescribing stage. The Food and Drug Administration estimated that 1.3 million people are affected by medication errors annually in the U.S. In addition, medical errors cause approximately 2,50,000 deaths in the U.S. per year and is the third leading cause of death in the country. As CDSS aids healthcare providers in effective clinical-decision making, growing incidence of medical errors is expected to drive the adoption of CDSS during the forecast period.

The clinical decision support systems market study presents historical market data in terms of value (2016 and 2017), estimated current data (2018), and forecasts for 2024 - by component, product, type, model, delivery mode, application, level of interactivity, and settings. The study also evaluates industry competitors and analyzes the market at regional and country level.

On the basis of component, services commanded the largest share of clinical decision support systems market in 2017, owing to the frequent nature of services such as training and development, installation, consulting, and maintenance. However, due to the need for episodic or periodic software upgradation and growing demand of CDSS, the software segment is expected to witness the highest growth during the forecast period.

Based on product, the CDSS market is segmented into integrated and standalone systems. Integrated CDSS segment accounted for the largest share in 2017 and is also expected to witness the highest growth during the forecast period. The large share and high growth of the segment can be attributed to its ability to provide a robust database to support evidence-based clinical decision-making.

The report includes extensive assessment of the key strategic developments adopted by leading market participants in the industry over the past 4 years (2015-2018). For instance, in 2017, Change Healthcare launched the new version of InterQual clinical decision support system, which consist of Medicare Procedures with efficient set of criteria, review, and other features that better help decision-making. Similarly, in July 2018, Guerbet collaborated with IBM Watson Health to help support clinical decisions.

The major players being studied under these study are Wolters Kluwer Health (U.S.), Hearst Health (U.S.), and Elsevier B.V. (The Netherlands), Cerner Corporation (U.S.), McKesson Corporation (Change Healthcare) (U.S.), Epic Systems Corporation (U.S.), MEDITECH (U.S.), Philips Healthcare (The Netherlands), International Business Machines (IBM) (U.S.), and Allscripts Healthcare Solutions, Inc. (U.S.).

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