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Global Clinical Decision Support Systems (CDSS) Market

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)

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.

SKU: BH042A
Published Year: 2017
 
 

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 answers to the following key questions can be derived from this report:

•    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?

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 CONTENT
Executive Summary
1 Report Scope and Methodology
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 Market Overview
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 Market Dynamics
3.1 Overview
3.2 Market Drivers
3.3 Market Restraints
3.4 Market Challenges 
3.5 Market Opportunities
4 Competitive Landscape
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 Industry Analysis
5.1  Regulatory Scenario
5.2  Patent Landscape
5.3 CDSS Procurement Workflow
6 Global Clinical Decision Support Systems (CDSS) Market by Mode of Delivery
6.1 Overview
6.2 Web Based Delivery Model
6.3 Cloud Based Delivery Model
6.4 On Premise Delivery Model
7 Global Clinical Decision Support Systems (CDSS) Market by Product
7.1 Integrated Clinical Decision Support Systems
7.2 Standalone Clinical Decision Support Systems
8 Global Clinical Decision Support Systems (CDSS) Market by User Interactivity
8.1 Overview
8.2 Active CDSS
8.2.1 Product Mapping 
8.3 Passive CDSS
8.3.1 Product Mapping 
9 Global Clinical Decision Support Systems (CDSS) Market, by Model
9.1 Knowledge-Based CDSS
9.2 Non-Knowledge-Based CDSS
10 Global Clinical Decision Support Systems (CDSS) Market, by Application
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 Global Clinical Decision Support Systems (CDSS) Market by Region
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 Company Profiles
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
List of Tables
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 
List of Figures
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

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

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