Cognitive Computing and Artificial Intelligence Systems in Healthcare

Cognitive Computing and Artificial Intelligence Systems in Healthcare

Shifts to how healthcare is delivered, where it is delivered, and how it is paid for are necessitating adoption of innovative tools for managing information. A key challenge is to appropriately assess the importance of various quantitative metrics, as well as correlate with qualitative recommendations and patient history. The voluminous forms of unstructured data generated across a wide number of fragmented systems necessitate artificial intelligence-enabled systems to correlate information, recognize patterns, and generate insights. This study looks at the market opportunity for artificial intelligence in healthcare, provides market forecasts, and assesses the competitive landscape of developers.

  • Executive Summary
    • Research Scope
    • Key Questions this Study will Answer
    • Themes for Artificial Intelligence Applications in Healthcare
    • AI in Clinical Applications
    • AI in Workflow Optimization
    • AI for the Consumer
    • CEO's Perspective
    • Market Projection
    • Three Big Predictions
  • Artificial Intelligence-Definition, Timeline, and Applications
    • Artificial Intelligence Ecosystem Segmentation
    • Why Artificial Intelligence?
    • Timeline-Evolution of AI Capabilities
    • How AI is Being Used Today
    • AI in Healthcare Timeline for Adoption
  • Market Projections
    • Drivers and Restraints
    • Drivers Explained
    • Restraints Explained
    • Artificial Intelligence in Healthcare Market
      • Table Artificial Intelligence Systems in Healthcare: Revenue Forecast, Global, 2013-2021
    • Artificial Intelligence in Healthcare Market Discussion
    • Key Application Projection
  • Artificial Intelligence in Care
    • Democratization of Internet, Healthcare, and AI
    • Access Problems in Care Delivery
    • Quality Problems in Care Delivery
    • Cost Problems in Care Delivery
    • Artificial Intelligence for Decision Support
    • Care Delivery Challenges Addressable through AI Applications
    • Patient Access to Care Addressed through AI Applications
    • Future Applications-AI in Individualized Care
    • AI Applications in Health Information Management
    • AI in Oncology Case Study
    • Consumer Engagement through AI
    • Expert Cognitive Systems-Integrated Health Model
    • Bring Your Device Cognitive Systems Model
  • Industry Landscape for Artificial Intelligence Systems
    • Ecosystem of Vendors within AI
    • IBM's Watson Health Platform
    • IBM Watson Health-Population Health Management Capabilities and Features
    • Key Partnerships-IBM Watson
    • Cognitive Scale's Insights Fabric Cognitive Platform
    • Hindsait's SaaS-AI Platform
    • AiCure's Advanced Medication Adherence Solutions
    • AIme Health Coach
    • Other Expert Systems Used in Healthcare
    • Promising Participants-Key New Companies in the AI Space
  • Key Conclusions
    • Strategies for Success in Building an AI-centric Business Model

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