Clinical Decision Support Systems Market (CDSS) Analysis and Forecast (2013-2018)
By Mode (Active CDSS, Passive CDSS); Decision Mechanism (Knowledge and Non-Knowledge Based); By Applications, Timing of Use and Geography
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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
4.
3.2.1.
Product Benchmarking
3.2.2.
End user profiling
3.2.3.
Patent Analysis
3.2.4.
Top 5 Financials Analysis
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. 5.
Degree of Competition
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
7.
6.2.1.
Artificial Neural Networks
6.2.2.
Genetic Algorithms
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 IBM’s 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 realtime clinical decision support application. Medical College of Wisconsin is developing a new CDSS for Parkinson’s 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 Method 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 ANALYTICAL MODEL
Base Method
1. Get a topdown 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 BASE MODEL
Consolidation Method 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
Delphi Verification 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
CONSOLIDATED MODEL
ARC MODEL
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