Global Clinical Decision Support Systems (CDSS) Market

Analysis and Forecast, (2017-2025) (Focus on Product (Integrated and Standalone), Component Type, Mode of Delivery, User Interactivity, Competitive Landscape and Country Analysis)

Published Year: 2017
SKU: BH00543SA

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Market Overview

The global CDSS market is expected to reach a value $10.82 billion by the end of 2025 and is driven by the increasing demand for IT solutio

Despite great measures undertaken in the development of healthcare information technologies, uncertainty still lies at the core of most of the aspects of medical decision making. For instance, globally, preventable medication errors cost over $1 trillion each year, of which the U.S. economy alone incurs $21 billion. Dosing errors, drug allergies and harmful drug interactions account for over 50% of these errors. This has prompted the need to provide means for clinicians to receive the relevant knowledge and research based evidence necessary for safe, effective and efficient clinical decision making. 

Technology interventions through deployment of clinical decision support systems (CDSS) such as e-prescribing systems, Bar Code Electronic Medication Administration System (eMAR) and Computerized Physician Order Entry (CPOE) could reduce these errors by over 85%. The healthcare reforms across the globe have forced organizations to rapidly re-evaluate how physicians, nurses, and other providers access and utilize clinical information. CDSS is considered to be one of the key drivers of meaningful healthcare reforms in the recent times. CDSS is a health IT system that assists physicians and other health professionals with clinical decision-making tasks, supporting them in diagnosis and treatment.

CDSS has proven to be effective at improving outcomes at several state-of-the-art health care institutions by reducing adverse drug events, medication-related errors and costs by millions of dollars per year even within single hospitals. The global CDSS market is expected to expand manifold during the forecast period with the emergence of machine learning and artificial intelligence. Machines capable of deciphering physicians’ notes from hospital or clinic encounters, radiology and procedure reports, prescriptions and lab result data are expected to become common within the next decade.

Despite promising initial advantages, a majority of clinical decision support systems has not provided features beyond general alerts, reminders, summary dashboards, and automated information retrieval systems. CDSS technology is still in its nascent stage and continuous input from clinicians, patients, and other stakeholders will be essential for correctly implementing the technology to enhance meaningful uses, reduce costs and improve treatment outcomes. 

The global CDSS market is expected to reach a value $10.82 billion by the end of 2025 and is driven by the increasing demand for IT solutions to effectively reduce the healthcare costs. The rising number of chronic diseases and technical advancements in big data such as use of machine learning and artificial intelligence (AI) are further propelling the growth of the market. While there has been considerable proliferation of CDSS in North America, the lack of tech savvy medical professionals in the emerging countries is inhibiting its adoption in these markets. However, with the rise in the awareness campaigns conducted by local governments such as those of Brazil, and Mexico, the adoption rates are expected to surge. Moreover, as most of the hospitals operate on tight budgets, high costs of CDSS have been limiting their integration. Furthermore, recent security breaches is one of the major concerns for CDSS vendors which can be overcome by the development of data exchange solutions using Block-Chain technology. The need to reduce medical errors and patient readmission is the main driver for the use of any decision support system in a healthcare organization. In the U.S. alone, hospitals spent more than $50 billion in 2015 to treat patients readmitted within 30 days of discharge. By promoting post-discharge medication adherence and more consistent follow-up appointments, CDSS helps prevent deterioration that may contribute to avoidable readmissions. This is especially valuable for patients with chronic conditions. With intelligent CDSS platforms, hospitals and health systems have new capabilities to support clinical decision-making and potentially save millions of dollars in the post-discharge patient management

In the global CDSS market, a plethora of opportunities is presented from the emerging countries such as India and China. For example, China is struggling to deal with the problems associated with cataract faced by the ageing 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 a local partner to develop dual language decision support systems which could be adopted easily by the clinics in China.

Furthermore, development of different versions of CDSS using multiple language is a great way which a company might use to explore various opportunities in different regions across the globe.

The opportunities for investment are substantial in number in the CDSS market with untapped demand from various verticals within the healthcare industry. For instance, expansion into solutions such as women’s health, anaesthesiology, imaging, and clinical process optimization can open new opportunities in this regard.

The emerging countries such as India and Japan have immense market potential and the local governments have already started partnering with the key CDSS vendors. For instance, the Chinese government has collaborated with Wolters Kluwer and Elsevier to improve the overall quality of care and help physicians in evidence based decision making

Key Questions Answered in this Report:

What is the Total Addressable Market (TAM), Segmental Addressable Market (SAM) and the potential market opportunity of the global clinical

•    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 are the major market drivers, challenges and opportunities in the global clinical decision support systems market and their case studies?
•    What is the market share of the leading segments and sub-segments of the global clinical decision support systems market in 2016 and 2025?
•    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 2025?
•    What will be 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 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 will be the scope of clinical decision support systems market in the emerging countries during the forecast period?

Report Description

The market report is well designed to provide an all-inclusive field of vision for the market in terms of various factors influencing it su

The global clinical decision support systems (CDSS) market comprises of software and services which help healthcare providers reduce the rate of medical errors during the healthcare delivery process. This, hence, significantly aid in improving clinical outcomes and facilitate reduction in healthcare costs. The market has evolved dramatically as a result of rising number of deaths due to medical errors, changing reimbursement models and healthcare delivery framework. These changes have fuelled the level of investments in the clinical decision support systems. Although, the major contributors to these changes remain rising healthcare costs and rapidly increasing rate of hospital readmissions. In order to combat these adverse events, healthcare organisations are now more focused towards achieving evidence based clinical outcomes with the help of CDSS tools which generate alerts to prevent any misdiagnosis during any medical process.

The healthcare system is also expected to witness the shortage of physicians in the upcoming years enhancing the need of decision making tools in order to effectively manage physician time and prevent the overcrowding of hospitals due to increased medical needs. Management of physicians’ time is an important aspect in clinical diagnosis and is reflected from the fact that approximately 32% of the medical errors are caused due to shortage of physicians’ time for the patient’s assessment which significantly enhances the chances of misdiagnosis or an adverse event.

Despite the benefits of clinical decision support systems, these decision making tools 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 and prefer to rely more on their own expertise gained over the several years of medical practice. Another barriers for low adoption of CDSS solutions include lack of integration with existing patient information systems and perceived disruption of clinical workflow, among others

However, the demand for these systems will be catalysed by the ongoing healthcare reforms across the world to improve patient care and satisfaction, reduce hospital readmission rates in order to reduce increasing healthcare costs. With the seamless integration of CDSS with EHR systems, their adoption rate is likely to increase in the upcoming years. Furthermore, the global CDSS market is expected to expand manifolds in the upcoming years with Artificial Intelligence powered automation which has the potential to automate entire clinical workflow of an organisation. Hence, the day is not too far when diagnosis and prescription orders given by a physician will be replaced by intelligent systems

The market report is well designed to provide an all-inclusive field of vision for the market in terms of various factors influencing it such as recent trends, technological advancements, and regulatory environment of the market. The scope of this report is centred upon conducting a detailed study of the solutions allied with the global clinical decision support systems market. The market has been segmented into Product, Mode of Delivery, Application, Model, User Interactivity and Geographical Regions. 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 into the market.

This research report aims at answering various aspects of the global clinical decision support systems market with the help of the key factors driving the market, threats that can possibly inhibit the overall growth of the market and the current investment opportunities that are going to shape the future trajectory of the market expansion. The study considers the growth-share matrix model for a comprehensive study of the global clinical decision support systems market and assesses the factors governing the same.

The key players who have significant contributions to the Global Clinical Decision Support System industry are Cerner Corporation, McKesson Corporation, Allscripts Healthcare Solutions, Inc., The National Decision Support Company, Zynx Health, VisualDx, FirstDataBank, Elsevier B.V, IBM Corporation (through acquisition of Truven Health Analytics).

Table of Contents

1.1    Scope of the Report
1.2    Key Objectives
1.3    Research Methodology
1.3.1    Key Data Points From Secondary Sources 
1.3.2    Data Triangulation
1.3.3    Top-Down  Approach (Segmental Analysis)
1.3.4    Bottom-Up Approach (Segmental Analysis)
1.3.5    Assumptions and Limitations
1.3.6    Data and Prediction Modelling
1.3.7    Assumptions and Limitations for Market Estimation

2.1    Introduction
2.2    Historical trends
2.3    Addressable Market Size and Growth Potential
2.4    Architecture of Clinical Decision Support System
2.5    Commercially Available Clinical Decision Support Systems
2.6    Technology Trends in the World of CDSS

3.1    Overview
3.2    Market Drivers
3.3    Market Restraints
3.4    Market Challenges 
3.5    Market Opportunities

4.1    Market Share Analysis
4.2    Share of Key Developments and Strategies
4.3     Collaboration Partnerships/Joint Ventures/Licencing Agreement
4.4     Business Expansions 
4.5     Mergers and Acquisitions
4.6     Product Launches
4.7    Awards and Recognitions
4.8    Porter’s Five Forces Analysis

5.1     Regulatory Scenario
5.2     Patent Landscape
5.3    CDSS Procurement Workflow

6.1    Overview
6.2    Web Based Delivery Model
6.3    Cloud Based Delivery Model
6.4    On Premise Delivery Model

7.1    Integrated Clinical Decision Support Systems
7.2    Standalone Clinical Decision Support Systems

8.1    Overview
8.2    Active CDSS
         8.2.1    Product Mapping 
8.3    Passive CDSS
         8.3.1    Product Mapping

9.1    Knowledge-Based CDSS
9.2    Non-Knowledge-Based CDSS

10.1    Overview
10.2    Preventive Care
           10.2.1    Screening of Diseases through CDSS
10.3    Diagnostics
           10.3.1    Drug-Allergy/Drug-Drug Interaction Alerts
10.4    Follow-Up Management
           10.4.1    Clinical Reminders
10.5    Others
           10.5.1    Dosing Support

11.1    Regional Segmentation
11.2    Overview
11.3    North America 
11.3.1    The U.S.
11.3.2    Canada
11.4    Europe
11.4.1    Germany
11.4.2    France
11.4.3    The U.K.
11.4.4    Spain
11.4.5    Russia
11.5    Asia Pacific
11.5.1    China
11.5.2    Japan
11.5.3    India
11.5.4    Australia
11.5.5    South Korea
11.5.6    Rest of Asia Pacific
11.5.6.1    New Zealand
11.5.6.2    Singapore
11.5.6.3    Malaysia
11.5.6.4    Philippines
11.5.6.5    Myanmar
11.6    Rest of the World
11.6.1    Brazil
11.6.2    Middle East
11.6.2.1    The United Arab Emirates (The U.A.E.)
11.6.2.2    Kingdom of Saudi Arabia (KSA)
11.6.2.3    Israel
11.6.3    North Africa
11.6.4    Mexico

12.1    Allscripts Healthcare Solutions, Inc.
12.1.1    Overview
12.1.2    Product Portfolio
12.1.3    Financials
12.1.3.1    Financial Summary
12.1.4    SWOT Analysis
12.2    Cerner Corporation
12.2.1    Overview
12.2.2    Product Portfolio
12.2.3    Financials
12.2.3.1    Financial Summary
12.2.4    SWOT Analysis
12.3    Cognizant Technology Solutions Corporation
12.3.1    Overview
12.3.2    Product Portfolio
12.3.3    Financials
12..3.3.1    Financial Summary
12.3.4    SWOT Analysis
12.4    Epic Systems Corporation
12.4.1    Overview
12.4.2    Product Portfolio
12.4.3    Corporate Summary
12.4.4    SWOT Analysis
12.5    ELSEVIER B.V
12.5.1    Overview
12.5.2    RELX Group- Overview (Parent Company)
12.5.3    Product portfolio
12.5.4    Financials
12.5.4.1    Financial Summary
12.5.5    SWOT Analysis
12.6    First Databank, Inc.
12.6.1    Overview
12.6.2    Hearst Communications Inc - Overview (Parent Company)
12.6.3    Product Portfolio
12.6.4    Corporate Summary
12.6.5    SWOT Analysis
12.7    GE Healthcare
12.7.1    Overview
12.7.2    Product portfolio
12.7.3    Financials
12.7.3.1    Financial Summary
12.7.4    SWOT Analysis
12.8    Health Catalyst
12.8.1    Overview
12.8.2    Product portfolio
12.8.3    Corporate Summary
12.8.4    SWOT Analysis
12.9    Inferscience, Inc.
12.9.1    Overview
12.9.2    Product Portfolio
12.9.3    Corporate Summary
12.9.4    SWOT Analysis
12.10    McKesson Corporation
12.10.1    Overview
12.10.2    Product Portfolio
12.10.3    Financials
12.10.3.1    Financial Summary
12.10.4    SWOT Analysis
12.11    Medecision, Inc.
12.11.1    Overview
12.11.2    Product portfolio
12.11.3    Corporate Summary
12.11.4    SWOT Analysis
12.12    National Decision Support Company
12.12.1    Overview
12.12.2    Product portfolio
12.12.3    Corporate Summary
12.12.4    SWOT Analysis
12.13    Oncology Analytics, Inc.
12.13.1    Overview
12.13.2    Product Portfolio
12.13.3    Corporate Summary
12.13.4    SWOT Analysis
12.14    Premier Inc.
12.14.1    Overview
12.14.2    Product Portfolio
12.14.3    Financials
12.14.3.1    Financial Summary
12.14.4    SWOT Analysis
12.15    Philips Healthcare
12.15.1    Overview
12.15.2    Product Portfolio
12.15.3    Financials
12.15.3.1    Financial Summary
12.15.4    SWOT Analysis
12.16    Persivia
12.16.1    Overview
12.16.2    Product portfolio
12.16.3    Corporate Summary
12.16.4    SWOT Analysis
12.17    Truven Health Analytics
12.17.1    Overview
12.17.2    IBM Corporation- Overview (Parent Company)
12.17.3    Product portfolio
12.17.4    Financials
12.17.4.1    Financial Summary
12.17.5    SWOT Analysis
12.18    VisualDx
12.18.1    Overview
12.18.2    Product Portfolio
12.18.3    Corporate Summary
12.18.4    SWOT Analysis
12.19    Wolters Kluwer N.V
12.19.1    Overview
12.19.2    Product Portfolio
12.19.3    Financials
12.19.3.1    Financial Summary
12.19.4    SWOT Analysis
12.20    Zynx Health 
12.20.1    Overview
12.20.2    Hearst Communications Inc - Overview (Parent Company)
12.20.3    Product Portfolio
12.20.4    Corporate Summary
12.20.5    SWOT Analysis
12.21    Snapshot of other Key Players
12.21.1    Medical Information Technology, Incorporated (MEDITECH)
12.21.2    Athena Health
12.21.3    Cambio Healthcare Systems
12.21.4    MatrixCare
12.21.5    Aprima Medical Software, Inc.
12.21.6    Cognitive Medical Systems
12.21.7    Stanson Health Inc.
12.21.8    One Advanced
12.21.9    Isabel healthcare

1    Market Snapshot, Global Clinical Decision Support Systems Market, 2016-2025
2    Commercially Available Clinical Decision Support Systems
3    Country-wise analysis of adverse events (2016)
4    Prevalence of Chronic Diseases in the U.S and the Cost Incurred to Treat the Disease
5    Partnership/Collaboration/Joint Ventures/Agreements
6    Business Expansions
7    Mergers and Acquisitions
8    Product Launches 
9    Awards and Recognitions
10    Regulatory Scenario Across the World
11    Patent Landscape in the Clinical Decision Support System Industry
12    Active CDSS Advantages and Disadvantages   
13    Commercially Available Active CDSS Products
14    Advantages and Disadvantages of Passive CDSS
15    Commercially Available Passive CDSS Products
16    Global healthcare costs attributable to chronic diseases such as stroke, and CVD and their incidence (in 1000s)
17    Clinical Decision Support: Top 10 Installed or Contracted Systems 
18    Top 10 Installed/Contracted Systems Hospitals- Under 100 Beds 
19    Top 10 Installed/Contracted Systems Hospitals- 100-199 Beds 
20    Top 10 Installed/Contracted Systems Hospitals—200-299 Beds
21    Top 10 Installed/Contracted Systems Hospitals—300-399 Beds 
22    Top 10 Installed/Contracted Systems Hospitals—400-499 Beds 
23    Top 10 Installed/Contracted Systems Hospitals—500+ Beds 
24    Computerized Physician Order Entry (CPOE) - Top 10 Installed or Contracted Systems 
25    Top 10 Installed/Contracted Systems Hospitals - Under 100 Beds: Computerized Physician Order Entry (CPOE) 
26    Top 10 Installed/Contracted Systems Hospitals- 100-199 Beds : Computerized Physician Order Entry (CPOE) 
27    Top 10 Installed/Contracted Systems Hospitals—200-299 Beds : Computerized Physician Order Entry (CPOE) 
28    Top 10 Installed/Contracted Systems Hospitals—300-399 Beds : Computerized Physician Order Entry (CPOE) 
29    Top 10 Installed/Contracted Systems Hospitals—400-499 Beds : Computerized Physician Order Entry (CPOE) 
30    Top 10 Installed/Contracted Systems Hospitals—500+ Beds : Computerized Physician Order Entry (CPOE) 
31    Average Number of Deaths Due to Adverse Events in Different Provinces of Canada
32    Health Outcomes And Risk Factors In The European Countries
33    Percentage of Hospitals using Various Healthcare IT Solutions (2013)
34    Continuous Rise in Life Expectancy in the Asian Countries 
35    Asia Pacific EMR Adoption Model
36    Key Initiatives Taken by the Chinese Government in Favour of Healthcare IT
37    Overview- Allscripts Healthcare Solutions, Inc.
38    Overview- Cerner Corporation
39    Overview- Cognizant Technology Solutions Corporation
40    Overview- Epic Systems Corporation
41    Overview- ELSEVIER B.V
42    Overview- RELX Group (Parent Company)
43    Overview- First Databank, Inc.
44    Overview- Hearst Communications Inc. (Parent Company)
45    Overview- GE Healthcare
46    Overview- Health Catalyst
47    Overview- Inferscience, Inc.
48    Overview- McKesson Corporation
49    Overview- Medecision,Inc.
50    Overview- National Decision Support Company
51    Overview- Oncology Analytics, Inc.
52    Overview-Premier Inc.
53    Overview- Philips Healthcare
54    Overview- Persivia
55    Overview- Truven Health Analytics
56    Overview- IBM Corporation (Parent Company)
57    Overview- VisualDx
58    Overview- Wolters Kluwer N.V
59    Overview- Zynx Health

1    The U.S. EMR adoption Model
2    Global Clinical Decision Support Systems Market Revenue, 2016-2025 ($Million)
3    Global Clinical Decision Support Systems Market, by Product, 2016 & 2025
4    Global Clinical Decision Support Systems Market, by Model, 2016 & 2025 
5    Global Clinical Decision Support Systems Market, by Mode of Delivery, 2016 & 2025 
7    Global Clinical Decision Support Systems Market, by Application, 2016 & 2025 
8    Global Clinical Decision Support Systems Market Cumulative Growth Rate (2017-2025)
9    Global Clinical Decision Support Systems Market Share by Region
10    Snapshot of Market Segmentation
11    Objectives of the Research Study
12    Research Methodology
13    The Secondary Data Sources Used in this Study
14    Top-Down Approach
15    Bottom-Up Approach
16    Evolution of Clinical Decision Support Systems Market
17    Overall Workflow of a CDSS System under a Clinical Setting 
18    Snapshot of the Working of a Knowledge Based CDSS System 
19    Global Clinical Decision Support Systems Market Share, by Company (2015)
20    Global Clinical Decision Support Systems Market Share, by Company (2016)
21    Share of Different Strategies in the Market
22    Porter’s Five Forces Analysis
23    Key Factors Influencing Purchase Decisions
24    Global Clinical Decision Support Systems Market, by Mode of Delivery, 2016-2025 ($Million)
25    Web based Global Clinical Decision Support Systems Market, 2016-2025 ($Million)
26    Global Web based Clinical Decision Support System, by Region, 2016-2025 ($Million)
27    Cloud based Global Clinical Decision Support Systems Market, 2016-2025 ($Million)
28    Global Cloud based Clinical Decision Support System, by Region, 2016-2025 ($Million)
29    Global On-Premise Clinical Decision Support Systems Market, 2016-2025 ($Million)
30    Global On-Premise Clinical Decision Support System Solutions, by Region, 2016-2025 ($Million)
31    Global Clinical Decisions Support Systems Market, by Product, 2016-2025 ($Million)
32    Global  Integrated Clinical Decision Support Systems Market, 2016-2025 ($Million)
33    Global Integrated Support Systems Market, by Region, 2016-2025 ($Million)
34    Global Standalone Clinical Decision Support Systems  Market, 2016-2025 ($Million)
35    Global Standalone Clinical Decision Support Systems Market, by Region, 2016-2025 ($Million)
36    Segmentation of the Clinical Decision Support Systems Market by User Interactivity
37    Clinical Decision Support System Knowledge Cycle
38    Active CDSS by Type 
39    Global Clinical Decision Support Systems Market, by Model, 2016-2025 ($Million)
40    Components of a Knowledge Based Clinical Decision Support Systems
41    Knowledge Based Clinical Decision Support Systems Market, 2016-2025 ($Million)
42    The Schema of a Knowledge-Based Clinical Decision Support System
43    The Components of Non Knowledge Based Clinical Decision Support System
44    Non-Knowledge Based Clinical Decision Support Systems Market, 2016-2025 ($Million)
45    Global Clinical Decision Support Systems Market, by Application, 2016-2025 ($Million)
46    Global Clinical Decision Support Systems for Preventive Care Market, 2016-2025 ($Million)
47    Global Clinical Decision Support Systems Market by Application, Diagnostics, 2016-2025 ($Million)
48    Advantages and Disadvantages of Drug-Allergy/Drug-Drug Interaction Alerts
49    Global Clinical Decision Support Systems Market by Application, Follow-up Management, 2016-2025 ($Million)
50    Role Of Clinical Reminders for Clinical Decision Support (CDS) 
51    Advantages and Disadvantages of Clinical Reminders
52    Advantages and Disadvantages of Dosing Support
53    The Key Elements Of A Clinical Decision Support System
54    Global Clinical Decision Support Systems Market by Application, Others, 2016-2025 ($Million)
55    Global Clinical Decision Support Systems Market, by Region, 2016-2025 ($Million)
56    North America Clinical Decision Support Systems Market, 2016-2025 ($Million)
57    North America Clinical Decision Support Systems Market, by Country 2016-2025 ($Million)
58    North America Clinical Decision Support Systems Market, by Product, 2016-2025 ($Million)
59    North America Clinical Decision Support Systems Market, by Mode of Delivery, 2016-2025 ($Million)
60    % of All Physicians that have Adopted any EHR/Information Systems in 2015 (Average- 87%) suggesting high demand for HIT
61    Leading Causes of Death in the U.S. (2016)
62    Snapshot of Vendor Market Share
63    Europe Clinical Decision Support Systems Market, 2016-2025 ($Million)
64    Europe Clinical Decision Support Systems Market by Product Type , 2016-2025 ($Million)
65    Europe Clinical Decision Support Systems Market by Mode of Delivery, 2016-2025 ($Million)
66    Europe Clinical Decision Support Systems Market, by Country, 2016-2025 ($Million)
67    Germany Clinical Decision Support Systems Market, 2016-2025 ($Million)
68    Distribution Of Medical Treatment Errors in Germany In 2016, by Error Type
69    Current Status of Usage of Various Information Systems in Germany on the Basis of Type of Hospitals (2013)
70    Current Status of Usage of Various Information Systems in Germany on the Basis of Number of Beds (2013)
71    Number of Medical Errors Reported in France from 2005 to 2014
72    Mortality Rate in France by Disease (% of Total Deaths, All Ages, Both Sexes) (2015)
73    France Clinical Decision Support Systems Market, 2016-2025 ($Million)
74    Current Status of Usage of Various Information Systems in France on the Basis of Type of Hospital (2013)
75    Current Status of Usage of Various Information Systems in France on the Basis of Number of Beds (2013)
76    U.K. Clinical Decision Support Systems Market, 2016-2025 ($Million)
77    Medication Error Reported per 100,000 Population in the U.K.
78    Mortality Rate in the U.K. (% of Total Deaths, All Ages, Both Sexes)
79    Current Status of Usage of Various Information Systems in on the Basis of Type of Hospitals (2013)
80    Current Status of Usage of Various Information Systems in U.K. on the Basis of Number of Beds (2013)
81    Spain Clinical Decision Support Systems Market, 2016-2025 ($Million)
82    Current Status of Usage of Various Information Systems in Spain on the Basis of Type of Hospitals (2013)
83    Current Status of Usage of Various Information Systems in Spain on the Basis of Number of Beds (2013)
84    Italy Clinical Decision Support Systems Market, 2016-2025 ($Million)
85    Rest of Europe Clinical Decision Support Systems Market, 2016-2025 ($Million)
86    Russia Clinical Decision Support Systems Market, 2016-2025 ($Million)
87    Asia Pacific Clinical Decision Support Systems Market, 2016-2025 ($Million)
88    Asia Pacific Clinical Decision Support Systems Market by Product Type, 2016-2025 ($Million)
89    Asia Pacific Clinical Decision Support Systems Market by Mode of Delivery, 2016-2025 ($Million)
90    Asia Pacific Clinical Decision Support Systems Market, by Country, 2016-2025 ($Million)
91    China Clinical Decision Support Systems Market, 2016-2025 ($Million)
92    Clinical Information System Implementation Rates, 2013-2014
93    Japan Clinical Decision Support Systems Market, 2016-2025 ($Million)
94    EMR adoption in Japan
95    CPOE adoption in Japan
96    Prevalence of Chronic Diseases in India 
97    Australia Clinical Decision Support Systems Market, 2016-2025 ($Million)
98    South Korea Clinical Decision Support Systems Market, 2016-2025 ($Million)
99    Rest of Asia Pacific Clinical Decision Support Systems Market, 2016-2025 ($Million)
100    RoW Clinical Decision Support Systems Market, 2016-2025 ($Million)
101    Rest of the World Clinical Decision Support Systems Market, by Country, 2016-2025 ($Million)
102    Brazil Clinical Decision Support Systems Market, 2016-2025 ($Million)
103    U.A.E. Clinical Decision Support Systems Market, 2016-2025 ($Million)
104    KSA Clinical Decision Support Systems Market, 2016-2025 ($Million)
105    Israel Clinical Decision Support Systems Market, 2016-2025 ($Million)
106    Rest of RoW Clinical Decision Support Systems Market, 2016-2025 ($Million)
107    Product portfolio
108    Allscripts Healthcare Solutions, Inc.: Overall Financials (2014-2016)
109    Allscripts Healthcare Solutions, Inc.: Net Revenue by Business Segment (2014-2016)
110    Allscripts Healthcare Solutions, Inc.: Net Revenue by Region (2014-2016)
111    Allscripts Healthcare Solutions, Inc.- SWOT Analysis
112    Product portfolio
113    Cerner Corporation: Overall Financials (2014-2016)
114    Cerner Corporation: Net Revenue by Region (2014-2016)
115    Cerner Corporation - SWOT Analysis
116    Product portfolio
117    Cognizant Technology Solutions Corporation : Overall Financial (2014-2016)
118    Cognizant Technology Solutions Corporation: Net Revenue by Business Segment (2014-2016)
119    Cognizant Technology Solutions Corporation: Net Revenue by Region (2014-2016)
120    Cognizant Technology Solutions SWOT Analysis
121    Product portfolio
122    EPIC Systems - SWOT Analysis
123    Product portfolio
124    ELSEVIER B.V: Overall Financials (2014-2015)
125    ELSEVIER B.V: Revenue by Business Segment (2014-2016)
126    ELSEVIER B.V: Revenue by Region (2014-2016)
127    ELSEVIER B.V - SWOT Analysis
128    Product portfolio
129    First Databank, Inc. - SWOT Analysis
130    Product portfolio
131    GE Corporation : Overall Financials (2014-2016)
132    GE Corporation: Net Revenue by Business Segment (2014-2016)
133    GE Corporation: Net Revenue by Region (2014-2016)
134    GE Healthcare: Revenue by Sub Segment : 2016
135    GE Healthcare: Net Revenue by Region (2016)
136    GE Healthcare: Net Revenue by Product Type (2014-2016)
137    GE Healthcare - SWOT Analysis
138    Product portfolio
139    Health Catalyst - SWOT Analysis
140    Product portfolio
141    Inferscience, Inc. - SWOT Analysis
142    Product portfolio
143    McKesson Corporation: Overall Financials (2015-2017)
144    McKesson Corporation: Net Revenue by Business Segment (2015-2017)
145    McKesson Corporation - SWOT Analysis
146    Product portfolio
147    Medecision, Inc. - SWOT Analysis
148    Product portfolio
149    National Decision Support Company - SWOT Analysis
150    Product portfolio
151    Oncology Analytics, Inc. - SWOT Analysis
152    Product portfolio
153    Premier Inc. : Overall Financials (2014-2016)
154    Premier Inc. : Net Revenue by Business Segments (2014-2016)
155    Premier Inc. : Net Revenue by Business Segments (2014-2016)
156    Premier Inc. SWOT Analysis
157    Product portfolio
158    Philips Healthcare: Overall Financials (2014-2016)
159    Philips Healthcare: Net Revenue by Business Segment (2014-2016)
160    Philips Healthcare : Net Revenue by Region (2014-2016)
161    Philips Healthcare SWOT Analysis
162    Product portfolio
163    Persivia SWOT Analysis
164    Product portfolio
165    IBM Corporation: Overall Financials (2014-2016)
166    IBM Corporation: Net Revenue by Business Segment (2014-2016)
167    IBM Corporation: Net Revenue by Region(2014-2016)
168    IBM Corporation - SWOT Analysis
169    Product portfolio
170    VisualDx  - SWOT Analysis
171    Product portfolio
172    Wolters Kluwer N.V: Overall Financials (2014-2016)
173    Wolters Kluwer N.V: by Region (2014-2016)
174    Wolters Kluwer N.V: Business Segments  (2014-2016)
175    Wolters Kluwer N.V - SWOT Analysis
176    Product portfolio
177    Zynx Health- SWOT Analysis

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