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TMCNet:  Healthcare Decision Support and IBM Watson: Market Shares, Strategies, and Forecasts, Worldwide, 2013 to 2019

[March 25, 2013]

Healthcare Decision Support and IBM Watson: Market Shares, Strategies, and Forecasts, Worldwide, 2013 to 2019

NEW YORK, March 25, 2013 /PRNewswire via COMTEX/ -- Reportlinker.com announces that a new market research report is available in its catalogue: Healthcare Decision Support and IBM Watson: Market Shares, Strategies, and Forecasts, Worldwide, 2013 to 2019 http://www.reportlinker.com/p01140649/Healthcare-Decision-Support-and-IBM-Watson-Market-Shares-Strategies-and-Forecasts-Worldwide-2013-to-2019.html#utm_source=prnewswire&utm_medium=pr&utm_campaign=Healthcare Healthcare decision support markets consist of traditional market participants led by McKesson and Watson from IBM. IBM Watson offers structured and unstructured data in combination. This represents a major breakthrough in what kind of decision support can be offered.

IBM Watson can provide a far more differentiated testing assessment. Watson knows what tests are relevant to further characterize a particular patient condition and what tests are not.

It is a great help to physicians to have an assistant that is able to have read the latest journal articles and is loaded with medical information to recommend what tests may be relevant in a particular situation. Wrong tests, tests that are not useful in a particular situation, account for 30% of the costs of healthcare delivery in the US. This is a lot. To have a new system available that addresses these issues is great.

IBM Watson is initiating a new era of cognitive computing that extends the tabulator and application program intensive enabling new market opportunities based on cognitive performance. Watson is so powerful and so new that the uses for it are not even defined yet. The tools and methods released by natural language computing systems are remarkable. They are very exciting.

Watson is comprised of a core engine. This engine is more powerful than anything that has been designed by humans before. To the credit of IBM, the first purpose that Watson has been put to is to improve healthcare delivery. To those analysts following Watson, there is tremendous promise in the offing.

IBM concentrates on building end to end systems that are able to adapt of market changes. While this may make the IBM product set seem overly heavy in the short run, in the long run, this is of enormous value to clients as proved by the company market leading position in innovation software.

This forecast below is predicated on the assumption that IBM makes available the Watson cognitive computing capability worldwide as a SaaS tool immediately, and people with smart phones learn that for five cents they can access solid medical opinions relating to particular symptoms. This does not turn the consumer into a healthcare provider, but it gives the consumer more power in dealing with the physician and the provider.

Just as the mother that took her child to the doctor this week in February 2013, and said, "I think it is an appendicitis" and the doctor said "No, it is influenza.", after the appendix broke and threatened the life of the child, the mother was angry, the physician was apologetic. With Watson at her side, the mother would have had more credible authority with the doctor.

This scenario really happened to an esteemed marketing manager in Minnesota, USA this week in February 2013. Watson has a lot to offer the consumer, without making the consumer a doctor; it brings more information and authority to the patient - physician interaction.

So also, the physicians gain a valuable assistant at their side when they can access Watson for $60 per physician per month. This cost represents two cents per patient encounter, hardly a blip on the bill to the patient, but lends incredible value to the patient - physician interaction, bringing the latest research to bear on the physician diagnostic and therapeutic decision making process.

Watson can be loaded with the latest research results. No physician can track all the latest medical research; there are intense volumes of it. Any one physician can only hope to read a small portion of what is published in his or her own field. Watson knows it all. It is available to share what it knows at a small fee.

Healthcare decision support markets at $201.7 million in 2012 are anticipated to reach $239 billion by 2019 as consumers access apps and these apps generate micro-payments in increments of $.05 per query. Physician access is anticipated to be at a cost of $60 per month per physician, and every facility will have to give its physicians access to IBM Watson and cloud based healthcare decision support.

Personal, consumer queries are anticipated to account for 93% of the healthcare decision support revenue by 2019. Growth is a result of new cognitive computing technology availability. It is not enough to maintain a static position in a market, nimble competitors steal market share away if innovation is not pursued, this is increasingly true in the healthcare decision support markets. Innovation provides competitive advantage and protection of market position.

WinterGreen Research is an independent research organization funded by the sale of market research studies all over the world and by the implementation of ROI models that are used to calculate the total cost of ownership of equipment, services, and software. The company has 35 distributors worldwide, including Global Information Info Shop, Market Research.com, Research and Markets, electronics.ca, Bloomberg, and Thompson Financial.

Report Methodology This is the 550th report in a series of primary market research reports that provide forecasts in communications, telecommunications, the Internet, computer, software, telephone equipment, health equipment, and energy. Automated process and significant growth potential are priorities in topic selection. The project leaders take direct responsibility for writing and preparing each report. They have significant experience preparing industry studies. Forecasts are based on primary research and proprietary data bases.

The primary research is conducted by talking to customers, distributors and companies. The survey data is not enough to make accurate assessment of market size, so WinterGreen Research looks at the value of shipments and the average price to achieve market assessments. Our track record in achieving accuracy is unsurpassed in the industry. We are known for being able to develop accurate market shares and projections. This is our specialty.

The analyst process is concentrated on getting good market numbers. This process involves looking at the markets from several different perspectives, including vendor shipments. The interview process is an essential aspect as well. We do have a lot of granular analysis of the different shipments by vendor in the study and addenda prepared after the study was published if that is appropriate.

Forecasts reflect analysis of the market trends in the segment and related segments. Unit and dollar shipments are analyzed through consideration of dollar volume of each market participant in the segment. Installed base analysis and unit analysis is based on interviews and an information search.

Market share analysis includes conversations with key customers of products, industry segment leaders, marketing directors, distributors, leading market participants, opinion leaders, and companies seeking to develop measurable market share.

Over 200 in depth interviews are conducted for each report with a broad range of key participants and industry leaders in the market segment. We establish accurate market forecasts based on economic and market conditions as a base. Use input/output ratios, flow charts, and other economic methods to quantify data. Use in-house analysts who meet stringent quality standards.

Interviewing key industry participants, experts and end-users is a central part of the study. Our research includes access to large proprietary databases. Literature search includes analysis of trade publications, government reports, and corporate literature.

Findings and conclusions of this report are based on information gathered from industry sources, including manufacturers, distributors, partners, opinion leaders, and users. Interview data was combined with information gathered through an extensive review of internet and printed sources such as trade publications, trade associations, company literature, and online databases. The projections contained in this report are checked from top down and bottom up analysis to be sure there is congruence from that perspective.

The base year for analysis and projection is 2010. With 2010 and several years prior to that as a baseline, market projections were developed for 2011 through 2017. These projections are based on a combination of a consensus among the opinion leader contacts interviewed combined with understanding of the key market drivers and their impact from a historical and analytical perspective.

The analytical methodologies used to generate the market estimates are based on penetration analyses, similar market analyses, and delta calculations to supplement independent and dependent variable analysis. All analyses are displaying selected descriptions of products and services.

This research includes referencde to an ROI model that is part of a series that provides IT systems financial planners access to information that supports analysis of all the numbers that impact management of a product launch or large and complex data center. The methodology used in the models relates to having a sophisticated analytical technique for understanding the impact of workload on processor consumption and cost. WinterGreen Research has looked at the metrics and independent research to develop assumptions that reflect the actual anticipated usage and cost of systems. Comparative analyses reflect the input of these values into models.

The variables and assumptions provided in the market research study and the ROI models are based on extensive experience in providing research to large enterprise organizations and data centers. The ROI models have lists of servers from different manufacturers, Systems z models from IBM, and labor costs by category around the world. This information has been developed from WinterGreen research proprietary data bases constructed as a result of preparing market research studies that address the software, energy, healthcare, telecommunicatons, and hardware businesses.

Table of Contents HEALTHCARE DECISION SUPPORT AND IBM WATSON - EXECUTIVE SUMMARY ES-1 Healthcare Decision Support Market Driving Forces ES-1 IBM Watson Can Provide A Far More Differentiated Testing Assessment ES-1 IBM Watson Initiates New Era of Cognitive Computing ES-5 Three Key Players In The Clinical Decision Support Market ES-7 Healthcare Decision Support Market Share ES-10 Healthcare Decision Support Market Forecasts ES-12 1. HEALTHCARE DECISION SUPPORT AND IBM WATSON - MARKET DESCRIPTION AND MARKET DYNAMICS 1-1 1.1 Strongest Bonds To A Customer 1-1 1.1.1 IBM Watson Offers Structured And Unstructured Data 1-2 1.1.2 IBM Watson Adapts Patient Centered Care Models That Work 1-3 1.2 IBM Watson Use Cases 1-7 1.2.1 'If Someone Has Relevant Content, We Want To Be Working With Them,' :Dr. Josko Silobrcic IBM Watson 1-9 1.2.2 MD Anderson Has Data Access Among Keys to Personalized Cancer Therapies 1-10 1.2.3 Memorial Sloan-Kettering Cancer Center and IBM Watson Collaborate in Cancer Treatment 1-13 1.3 IBM Watson Getting Started, Next Steps 1-14 1.4 IBM Healthcare Watson Positioned to Take Better Care of Patients 1-16 1.4.1 ICD-10 1-16 1.5 McKesson Offers Robust Mix Of Healthcare IT, Patient Care, Financial Performance And Connectivity Solutions 1-16 1.5.1 McKesson Investing $1 Billion Over The Next Two Years On IT R&D 1-17 1.6 McKesson Physician Management of Advanced Payment Models 1-19 1.7 Healthcare in the United States 1-23 1.7.1 World Economy Undergoing A Transformation 1-23 1.7.2 Global Economic Conditions: 1-24 1.7.3 Global Economy Becomes Steadily More Sluggish 1-25 1.7.4 Global Economic Conditions Impact Markets 1-27 2. HEALTHCARE DECISION SUPPORT AND IBM WATSON - MARKET SHARES AND MARKET FORECASTS 2-1 2.1 Healthcare Decision Support Market Driving Forces 2-1 2.1.1 IBM Watson Can Provide A Far More Differentiated Testing Assessment 2-1 2.1.2 IBM Watson Initiates New Era of Cognitive Computing 2-5 2.1.3 Three Key Players In The Clinical Decision Support Market 2-7 2.2 Healthcare Decision Support Market Share 2-10 2.2.1 McKesson InterQual Decision Support 2-13 2.2.2 InterQual, a Division of McKesson 2-16 2.2.3 Milliman 2-17 2.2.4 Truven / Solucient 2-18 2.3 Healthcare Decision Support Market Forecasts 2-18 2.3.1 Natural Language Cognitive Computing Healthcare Decision Support Market 2-24 2.3.2 Healthcare Decision Support Market Forecasts, Facility, Research, and Insurers 2-26 2.3.3 M-Health Wireless Tele-Health Apps 2-27 2.3.4 Smart Phone Home Tele Monitoring 2-31 2.3.5 eICUs 2-32 2.3.6 Healthcare Physician Decision Support Market Forecasts 2-32 Rapid Readmissions 2-34 2.3.7 Healthcare Decision Support Market Forecasts, Facility, Research, and Insurers 2-35 2.3.8 Tele-health Originating Site Facility Fee Payment Amount Update 2-37 2.4 IBM Watson Cognitive Computing 2-39 2.4.1 Healthcare Decision Support Market Forecasts, Facility, Research, and Insurers 2-41 2.4.2 Medical Criteria to Ensure Hospitalizations Are Necessary Gets Outdated Too Fast 2-43 2.4.3 Some Published Healthcare Data Is Wrong 2-43 2.4.4 US Revising the Medicare Hospital Inpatient Prospective Payment Systems (IPPS 2-44 2.4.5 Smart Phone Healthcare Decision Support App 2-45 2.4.6 Mobile Medical Productivity Tools Market Forecasts 2-47 2.4.7 Proper Diagnosis 2-48 2.4.8 Value of IBM Watson for Correct Medial Testing 2-49 2.4.9 Effective Utilization Of Lab Testing 2-50 2.4.10 Provider-Payor Collaboration 2-51 2.4.11 Technology The Healthcare Decision Support Equalizer 2-52 2.5 Global Healthcare Analytics Market 2-53 2.6 Healthcare Decision Support Pricing 2-54 2.7 Healthcare Decision Support Regional Market Segments 2-55 2.8 Application Server Embraces Enterprise Mobile Apps Development 2-58 2.8.1 Application Server Supports Web Reach 2-60 2.8.2 SOA Business Integration Foundation Systems 2-64 2.8.3 Application Servers Support Internet Channel 2-66 2.8.4 IBM Mainframe vs. Distributed Server ROI 2-68 2.8.5 Application Server Real Time Business Benefits 2-68 3. HEALTHCARE DECISION SUPPORT AND WATSON - PRODUCT DESCRIPTION 3-1 3.1 IBM Watson 3-1 3.1.1 Watson Used to Build a Sustainable Healthcare System 3-2 3.1.2 IBM Watson Enabling Technologies For Healthcare Transformation 3-6 3.1.3 IBM Healthcare Solutions Redefine Healthcare Delivery 3-8 3.1.4 IBM Investing in Care Co-Ordination Solutions 3-12 3.1.5 IBM Consumer Software for Healthcare 3-15 3.1.6 IBM Healthcare Analytics 3-17 3.1.7 IBM integrated and Configurable Patient Care and Insights Solution Suite 3-20 3.1.8 IBM / Wellpoint 3-22 3.2 McKesson Point-of-Care Decision Support Solutions 3-23 3.2.1 McKesson InterQual Chart 3-27 3.2.2 McKesson InterQual Alliance Partners 3-27 3.2.3 CMS Extends Decade-Long Use of McKesson's InterQual Criteria to Support Medicare Initiatives 3-29 3.2.4 McKesson InterQual Alliance Partners 3-31 3.2.5 McKesson InterQual Criteria via Web Access 3-36 3.2.6 McKesson InterQual® Online 3-37 3.2.7 McKesson Auto Authorization of Treatment Plans 3-37 3.2.8 McKesson InterQual Criteria and Enables Automated Medical Review, Authorization, Notification, Eligibility And Direction 3-37 3.2.9 McKesson Decision Support for Testing 3-38 3.2.10 McKesson Advanced Diagnostics Management Approach to Molecular and Genetic Tests 3-40 3.3 Milliman 3-42 3.3.1 Milliman Positioned To Support The Patient Protection and Affordable Care Act (ACA) 3-43 3.4 Tuven Health Clinical Performance Improvement Solutions 3-44 3.4.1 Tuven Health CareDiscovery 3-44 3.4.2 Tuven Health CareDiscovery Quality Measures 3-45 3.4.3 Tuven Health Meaningful Use Quality Manager 3-45 3.4.4 Tuven Health Clinical Strategic Services 3-45 3.4.5 Tuven Micromedex® Medication Management 3-46 4. HEALTHCARE DECISION SUPPORT AND IBM WATSON - TECHNOLOGY 4-1 4.1 IBM Watson 4-1 4.1.1 Watson Supporting New Era Of Computing 4-7 4.1.2 IBM Watson Initiates New Era of Computing 4-8 4.2 McKesson Paragon Fuel s Healthcare Facility Growth 4-12 4.2.1 McKesson Paragon Offers A Set Of Unified Tools 4-13 5. HEALTHCARE DECISION SUPPORT - COMPANY DESCRIPTION 5-1 5.1 Accenture 5-1 5.2 Aetna 5-2 5.2.1 Aetna Health Benefits And Insurance Plans 5-2 5.3 AMD 5-3 5.3.1 AMD Telehealth Commitment to the Customer 5-3 5.3.2 AMD Management 5-4 5.3.3 AMD Global Telemedicine Service 5-5 5.4 American Well Systems 5-5 5.5 Assa Abloy 5-5 5.5.1 Assa Abloy Regional Division - EMEA 5-6 5.5.2 Assa Abloy Regional Division - Americas 5-7 5.5.3 Assa Abloy Regional Division - Asia Pacific 5-8 5.5.4 Assa Abloy Acquisitions 2012 5-9 5.6 AT&T 5-10 5.7 Boehringer Ingelheim 5-11 5.8 Bosch 5-12 5.8.1 Bosch Group 5-12 5.9 Bayer - Viterion 5-14 5.10 Biotronik 5-16 5.11 BT 5-16 5.12 Buccaneer 5-17 5.13 Cardionet 5-17 5.14 Centerstone Research Institute 5-18 5.16 ciCoach.com 5-19 5.17 Cisco 5-20 5.18 Cleveland Clinic 5-21 5.18.1 Cleveland Clinic MyChart 5-22 5.19 CMS 5-22 5.20 Deutsche Telecom 5-23 5.21 eCardio Diagnostics 5-24 5.22 Eliza Corp 5-24 5.23 EMC 5-24 5.24 Healthrageous 5-25 5.25 Honeywell HomMed 5-26 5.26 Humedica 5-27 5.27 GlobalMed 5-27 5.28 IBM 5-28 5.28.1 IBM Revenue Q2 2012 5-30 5.28.2 IBM Business Model 5-30 5.28.3 IBM Revenue Second-Quarter 2012 5-33 5.28.4 IBM Geographic Regions Q2 2012 5-34 5.28.5 IBM Growth Markets Q2 2012 5-34 5.28.6 IBM Services Q2 2012 5-35 5.28.7 IBM Software Q2 2012 5-35 5.28.8 IBM Hardware Q2 2012 5-35 5.28.9 IBM Financing Q2 2012 5-36 5.28.10 IBM Lombardi 5-36 5.29 Intel 5-37 5.30 Kaiser 5-38 5.30.1 Kaiser 5-39 5.31 Mayo Clinic 5-40 5.31.1 Mayo Clinic Telehealth 5-40 5.32 Medical Strategic Planning 5-41 5.32.1 Medical Strategic Planning (MSP) Alliance Organizations 5-42 5.33 Medullan 5-43 5.33.1 Medullan Services 5-43 5.34 NTT 5-44 5.34.1 Operating Revenues 5-45 5.35 Partners Healthcare 5-45 5.35.1 Partners Healthcare Integrated Health Care System 5-46 5.36 Philips 5-47 5.37 Polycom 5-48 5.38 PwC 5-48 5.39 Qolpac 5-49 5.40 Qualcomm 5-50 5.41 Sorin Group 5-53 5.42 Sotera 5-53 5.43 Skype 5-54 5.44 Sony 5-54 5.45 Sutter Center for Integrated Care 5-55 5.46 Telecare 5-56 5.47 Telesofia Medical 5-56 5.48 Textron Systems 5-57 5.49 VA Department of Veterans Affairs 5-57 5.50 Verizon 5-59 5.51 Vidyo 5-59 5.52 Walmart 5-60 5.52.1 Walmart Affordable Healthcare 5-60 5.53 Worksmart 5-61 List of Tables and Figures Healthcare Decision Support and IBM Watson - Executive Summary Figure ES-1 ES-2 IBM Watson Creates a Patient Evidence Profile Figure ES-2 ES-6 IBM Watson Initiates New Era of Cognitive Computing Table ES-3 ES-9 Healthcare Decision Support Market Driving Forces Table ES-4 ES-11 Healthcare Decision Support Software Market Shares, Dollars, Worldwide, 2012 Figure ES-5 ES-14 Healthcare Patient, Physician, and Facility Decision Support Market Forecasts, Dollars, Worldwide, 201ES-2019 Healthcare Decision Support and IBM Watson - Market Description and Market Dynamics Figure 1-1 1-1 Creating Stickey Customer Relationships Table 1-2 1-3 IBM Accelerating Industry Adoption Of Watson And Analytics For Healthcare Table 1-3 1-4 IBM growth in PCMH Sites And Clinicians Using Watson And Analytics For Healthcare Figure 1-4 1-5 IBM Research Focus on Healthcare Challenges Figure 1-5 1-6 IBM Leverages IBM Research Capabilities Table 1-6 1-7 IBM Research Systems Figure 1-7 1-8 IBM Watson Deployment Depends on Preparation and s and Acceleration of Development Figure 1-8 1-15 IBM Watson Getting Started, Next Steps Table 1-9 1-18 McKesson Positioning to Support Healthcare Decision Making Table 1-10 1-19 McKesson Hospital Decision Support Positioning Table 1-11 1-20 Decision Support as Part of Electronic Medical Records Table 1-12 1-22 Vendor Positioning to Support Healthcare Decision Making Figure 1-13 1-30 Foreign Exchange Trend Figure 1-14 1--31 GDP Growth Outlook Healthcare Decision Support and IBM Watson - Market Shares and Market Forecasts Figure 2-1 2-2 IBM Watson Creates a Patient Evidence Profile Figure 2-2 2-6 IBM Watson Initiates New Era of Cognitive Computing Table 2-3 2-9 Healthcare Decision Support Market Driving Forces Table 2-4 2-11 Healthcare Decision Support Software Market Shares, Dollars, Worldwide, 2012 Figure 2-5 2-12 Healthcare Decision Support Software Market Shares, Dollars, Worldwide, 2012 Table 2-6 2-14 McKesson's InterQual Customer Base Table 2-7 2-15 McKesson's InterQual Target Markets Figure 2-8 2-21 Healthcare Patient, Physician, and Facility Decision Support Market Forecasts, Dollars, Worldwide, 2012-2019 Table 2-9 2-23 Healthcare Decision Support Market Dollars, Worldwide, 2013-2019 Table 2-10 2-24 Natural Language Healthcare Decision Support Market Dollars and Units, Worldwide, 2012-2019 Figure 2-11 2-26 Healthcare Decision Support Market Forecasts, Facility, Research, and Insurers, Dollars, Worldwide, 2013-2019 Figure 2-12 2-28 Healthcare Patient Decision Support Market Forecasts, Dollars, Worldwide, 2012-2019 Table 2-13 2-30 Smart Phone Market Shares, Units and Dollars, Worldwide, 2011 Table 2-14 2-31 Total Smart Phone Installed Base Units, Worldwide, 2012-2018 Table 2-15 2-33 Healthcare Physician Decision Support Market Forecasts, Dollars, Worldwide, 2012-2019 Table 2-16 2-34 Remote And Wireless Patient Monitoring Device Using Wireless Networks Figure 2-17 2-36 Healthcare Decision Support Market Forecasts, Facility, Research, and Insurers, Dollars, Worldwide, 2013-2019 Table 2-18 2-37 The Medicare Tele-health Originating Site Facility Fee and MEI Increase by the Applicable Time Period Figure 2-19 2-42 Healthcare Decision Support Market Forecasts, Facility, Research, and Insurers, Dollars, Worldwide, 2013-2019 Table 2-20 2-46 Natural Language Healthcare Decision Support Market Dollars and Units, Worldwide, 2010-2016 Figure 2-21 2-56 Healthcare Decision Support Regional Market Segments, Dollars, 2012 Table 2-22 2-57 Healthcare Decision Support Regional Market Segments, 2012 Table 2-23 2-58 Application Server Web Mobile Extensions Table 2-24 2-62 Application Server Core Technologies Table 2-25 2-65 Application Server SOA Leveraging Of Business Integration Systems Table 2-26 2-66 SOA Engine Segments Table 2-27 2-67 Application Server Key Benefits Table 2-28 2-69 Application Server Real Time Business Benefits Healthcare Decision Support and IBM Watson - Product Description Table 3-1 3-3 Watson Personalized Healthcare Functions Figure 3-2 3-4 IBM Watson Systems and Solutions Focus on Healthcare Transformation and Business Value Table 3-3 3-5 IBM Watson Healthcare Portfolio Capabilities Figure 3-4 3-7 IBM Provides Enabling Technologies for Healthcare Transformation Figure 3-5 3-9 IBM Healthcare Solutions Redefine Healthcare Delivery Table 3-6 3-11 IBM Watson Targeted Healthcare Information Distribution Functions Figure 3-7 3-14 IBM Investing in Care Co-Ordination Solutions Figure 3-8 3-15 IBM Consumer Software for Healthcare Figure 3-9 3-17 IBM Healthcare Analytics Table 3-10 3-19 IBM Watson Use Case: Utilization Management In Healthcare Table 3-11 3-20 IBM integrated and Configurable Patient Care and Insights Solution Suite Table 3-12 3-21 IBM integrated and Configurable Cardiac Modeling Patient Care Module Figure 3-13 3-24 McKesson InterQual Level One Decision Support Figure 3-14 3-26 McKesson InterQual CareEnhance Review Manger Figure 3-15 3-28 McKesson InterQual OnlineSurgical / Trauma Table 3-16 3-30 McKesson InterQual Healthcare Decision Support Software Modules Figure 3-17 3-31 McKesson InterQual Cardiac Table 3-18 3-32 McKesson InterQual Softwre Functions to Support Partnerships Figure 3-19 3-33 McKesson InterQual Care Enhance Heart Failure Decision Support Table 3-20 3-34 McKesson InterQual Benefits Table 3-21 3-35 McKesson InterQual Functions Table 3-22 3-41 McKesson Advanced Diagnostics Management Key Components Table 3-23 3-44 Milliman Critical Public Exchange Markets Considerations For Health Insurance Plans Table 3-24 3-47 Tuven Health Medication Management Information Healthcare Decision Support and IBM Watson - Technology Table 4-1 4-2 IBM Watson Uses Table 4-2 4-3 Watson Uses of Classes Of Cognitive Systems Figure 4-3 4-4 IBM Watson Reference Architecture Functions Table 4-4 4-5 IBM Watson Order Of Search Figure 4-5 4-6 IBM Watson Underlying Architecture Figure 4-6 4-7 Watson Solutions Build on Set of Repeatable Assets Figure 4-7 4-9 IBM Watson Initiates New Era of Computing Figure 4-8 4-11 IBM Watson Different Types of Keyword Evidence Used to Create a Natural Language Computer Healthcare Decision Support and IBM Watson - Company Profiles Table 5-1 5-6 Assa Abloy Regional Division - EMEA Situation Figure 5-2 5-19 Centerstone Research Institute Telehealth Figure 5-3 5-39 Kaiser Thrive Campaign Table 5-4 5-40 Kaiser Services Table 5-5 5-41 Mayo Clinic Services Figure 5-6 5-43 Medullan Services Figure 5-7 5-51 Qualcomm Investment in Wireless Health Figure 5-8 5-58 To order this report:Healthcare Industry: Healthcare Decision Support and IBM Watson: Market Shares, Strategies, and Forecasts, Worldwide, 2013 to 2019 __________________________Contact Clare: clare@reportlinker.com US:(339) 368 6001 Intl:+1 339 368 6001 SOURCE Reportlinker http://rt.prnewswire.com/rt.gif NewsItemId=BR82583&Transmission_Id=201303251443PR_NEWS_USPR_____BR82583&DateId=20130325

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