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A Clinical Decision Support System (CDSS) is a health information technology system that is designed to assign physicians and other health professionals with clinical decision-making tasks. While the CDSS constitutes a major topic in artificial intelligence in medicine, its best adopted definition till date might very well be “CDSS link health observations link with health knowledge to influence health choices by clinicians for improved health care”
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By Mode (Active CDSS, Passive CDSS); Decision Mechanism (Knowledge and Non-Knowledge Based); By Applications, Timing of Use and Geography
Clinical Decision Support Systems Market
(CDSS) Analysis and Forecast (2013-2018)
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TABLE OF CONTENTS
1. Clinical Decision Support Systems - Market Overview
2. Executive Summary
3. Clinical Decision Support Systems - Market Landscape
3.1. Market Share Analysis
3.2. Comparative Analysis
3.2.1. Product Benchmarking
3.2.2. End user profiling
3.2.3. Patent Analysis
3.2.4. Top 5 Financials Analysis
4. Clinical Decision Support Systems - Market Forces
4.1. Market Drivers
4.2. Market Constraints
4.3. Market Challenges
4.4. Attractiveness of the Industry
4.4.1. Power of Suppliers
4.4.2. Power of Customers
4.4.3. Threat of New entrants
4.4.4. Threat of Substitution
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4.4.5. Degree of Competition
5. Clinical Decision Support Systems Market Strategic Analysis
5.1. Value Chain Analysis
5.2. Opportunities Analysis
5.3. Product/Market Life Cycle Analysis
6. Clinical Decision Support Systems Market By Decision Making Mechanism
6.1. Knowledge-based
6.2. Non Knowledge-based
6.2.1. Artificial Neural Networks
6.2.2. Genetic Algorithms
7. Clinical Decision Support Systems Market By Applications
7.1. Documentation forms
7.2. Relevant data presentations
7.3. Order creation facilitators
7.4. Protocol support
7.5. Reference information
7.6. Alerts and reminders
8. Clinical Decision Support Systems Market By Timing Of Use
8.1. Pre-diagnosis
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8.2. During diagnosis
8.3. Post- diagnosis
9. Clinical Decision Support Systems Market By Mode of Interaction
9.1. Active CDSS
9.2. Passive CDSS
10. Global Clinical Decision Support Systems Market -Geographic Analysis
10.1.Introduction
10.2.North America
10.2.1. Canada
10.2.2. USA
10.3. Europe
10.4. APAC
10.5. ROW
11. Market Entropy
11.1. New Product Launches
11.2. M&As, Collaborations, JVs and Partnerships
12. Company Profiles (Overview, Financials, SWOT Analysis Top 5 Companies, Developments,
Product Portfolio)
12.1.Alere Inc.
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12.2.Autonomy Corporation plc
12.3.Cerner Multum, Inc.
12.4.EBSCO Industries, Inc.
12.5.Elsevier Clinical Decision Support
12.6.Evidera/ Archimedes Inc.
12.7.FirstDataBank, Inc.
12.8.GIDEON Informatics, Inc.
12.9.IBM Watson
12.10. ICNet International Limited
12.11. Infermedica Sp. z o.o
12.12. Isabel Healthcare Inc.
12.13. Logical images, Inc
12.14. Massachusetts General Hospital
12.15. McKesson Corporation
12.16. Pepid, LLC
12.17. Philips Healthcare
12.18. Sharecare, Inc.
12.19. SimulConsult Inc.
12.20. Truven Health Analytics, Inc.
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12.21. T-System Inc.
12.22. Wolters Kluwer Health, Inc.
12.23. Zynx Health Incorporated
13. Appendix
13.1. Abbreviations
13.2. Sources
13.3. Research Methodology
13.4. Bibliography
13.5. Compilation of Expert Insights
13.6. Disclaimer
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KEY MARKET INSIGHTS North America will lead the market for Clinical Decisions Support Systems through 2018.
IBM, WellPoint and Memorial Sloan-Kettering Cancer Center have developed an advanced CDSS based on IBMs Watson technology for oncologists.
As part of the American Recovery and Reinvestment Act of 2009, US government has set aside $20bn in incentives for hospitals and physicians practices implementing EMR
and CDSS.
ICNet Systems was selected by Centers for Disease Control and Prevention (CDC) to demonstrate the Antimicrobial Use & Resistance Module (AUR) of ABX Alert, its real-
time clinical decision support application.
Medical College of Wisconsin is developing a new CDSS for Parkinsons disease patients receiving deep brain stimulation, with the help of a grant from Clinical and Translational
Science Institute. The project aims to provide a system on mobile devices to improve
access to post-operative care for patients and further develop tailored therapies for
individual patients.
India, Singapore and South Korea to contribute significantly to the growth of CDSS market, because of surging medical tourism industry in these regions and technological
advancement.
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RESEARCH METHODOLOGY
The quantitative and qualitative data collected for the Clinical Decision Support Systems report is
from a combination of secondary and primary sources. Research interviews were conducted with
senior executives and/or mangers in the CDSS Industry. These Key Opinion Leaders (KOLs) were
then provided a questionnaire to gather quantitative and qualitative inputs on their operations,
performance, strategies and views on the overall market, including key developments and technology
trends. Data from interviews is consolidated, checked for consistency and accuracy, and the final
market numbers are again validated by experts. The global market was split by product types and
geography based on different factors like primary and secondary sources, understanding of the
number of companies operating in each segment and also KOL insights.
We have used various secondary sources such as directories, articles, white papers, newsletters,
annual reports and paid databases such as OneSource, Hoovers and Factiva to identify and collect
information for extensive technical and commercial study of the CDSS market.
The key players in the market and its value chain were identified through secondary research and
their market opinions were also gathered in a similar way through telephonic interviews and
questionnaires. We have also studied the annual reports of these top market players. Interviews with
key opinion leaders such as directors, managers, and marketing personnel were used extensively in
understanding the need and emergence of CDSS market.
We also have extensive database of contacts which were used to conduct primary interviews and
also to get their inputs using questionnaires.
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THE ARC ADVANTAGE
An analytical model lies at the core of our process, ensuring logical consistency throughout
our research. We complement the model with secondary data and interviews with industry
experts to reflect the latest trends. With our final expert validation, we provide you with
only the most accurate and actionable intelligence.
THE ARC PROCESS
ANALYTICAL MODEL BASE MODEL CONSOLIDATED MODEL ARC MODEL
Analytical Method
Base Method Consolidation Method
Delphi Verification
1. Granular breakdown of drivers into factors 2. Validate all factors in terms of their present impact on the market 3. Assign weights to these factors in terms of their relevance and impact on the market 4. Build the Analytical Model
1. Get a top-down estimate of the market 2. Follow it up with a bottom-up estimate of the market 3. Check forconsistency and new growth factors that are relevant over the next 10 Years 4. Build the Base model
1. Granular breakdown of drivers into factors 2. Validate all factors in terms of their present impact on the market. 3. Assign weights to these factors in terms of their relevance and impact on the market. 4. Build the Consolidated Model
1. Verify the findings of the model with experts from across the value chain 2. Verify the findings with players across small and large enterprises 3. Tweak the model and add new factors 4. Finalize the ARC Model
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By Mode (Active CDSS, Passive CDSS); Decision Mechanism (Knowledge and Non-Knowledge Based); By Applications, Timing of Use and GeographyClinical Decision Support Systems Market (CDSS) Analysis and Forecast (2013-2018)RESEARCH METHODOLOGY