Artificial Intelligence and Advanced Analytics in Healthcare

Sustainable Sourcing of Innovations from Emerging Markets is Critical for Sustainable Long-term Profitable Growth of Global Product Portfolios

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The global healthcare industry is in need of solutions that augment providers with insights to make meaningful clinical decisions within less turnaround times, which is critical to demonstrating value of care. Artificial Intelligence has proven its utility in performing data-mining activities on large sets of patient and population health data, addressing vital gaps in automating the clinical workflow. Adoption of artificial intelligence technologies has reduced healthcare costs by 50%, while improving patient outcome by over 50%. Advanced analytic frameworks evaluate 'unstructured data', such as physician-entered notes, health statistics, clinical literature and radiology reports to deliver trends critical to improving the quality of healthcare.

This research service (RS) offers a strategic perspective on the impact of artificial intelligence (AI) and advanced analytics on the global healthcare industry. This RS has been segmented into five chapters, with the first two focusing on analysis of the top trends from both technology and competitive perspectives. the third, fourth and fifth chapters focus on the global adoption landscape, reviewing the roles and strategies of both existing and emerging participants.

Key questions answered by this research services (RS):
1. What are the major classes of artificial intelligence and advanced analytics technologies? What are the sub-classification of technologies for various clinical applications by commercial attractiveness and intensity of patenting activities?
2. Who are the key stakeholders within the global healthcare industry, including medical device companies, pharmaceutical companies and biotechnology firms that are pioneering technology development initiatives for driving sustainable market growth efforts across potential markets?
3. What is the role of stakeholders across the value chain and their efforts towards development of technologies?
4. How has the global competitive landscape evolved over the past decade, especially with respect to those innovating artificial intelligence solutions for addressing needs faced by the global healthcare industry?

Table of Contents

1.0 Executive Summary1.1 Scope of Research 1.2 Research Methodology 1.3 AI Has Proved Its Utility in Performing Complex Data Mining Activity and Assisting Physicians Make Better Treatment Decisions1.4 Diagnostic Centers Have Been Early Adopters and Late Majority in Terms of Their Level of Adoption of AI-based Solutions1.5 Better High Adoption of Speech Recognition Techniques Comes With Achieving Interoperability of Electronic Health Records2.0 Technology Overview2.1 Very High Adoption of Speech Recognition Techniques Comes With Achieving Interoperability of Electronic Health Records (EHRs)2.2 Advanced Technologies Such as Predictive Modelling Holds Very High Potential to Reduce Turnaround Time During Drug Discovery Process2.3 High Market Adoption of Artificial Intelligence Tools Comes With Their Ability to Support Complex Clinical Decisions in Lesser Time2.4 Artificial intelligence is a Critical Tool For Healthcare Companies to Differentiate Their Existing Products Across Potential Markets3.0 Global Competitive Scenario3.1 Academic Research and Non-healthcare Companies Surpass Traditional Healthcare Companies in the Adoption of Artificial Intelligence Solutions3.2 Predictive modelling Offers More Scope For Diversification of Existing Product Lines Across Newer and Unexplored Areas3.3 Solutions Created Using Machine Learning and Cognitive Computing Deliver Scope For Sustainable Market Growth Worldwide4.0 Global Adoption Landscape4.1 Most Artificial Intelligence Solutions Are Yet to Demonstrate Their Clinical Value in the Field of Surgery4.2 Deep Learning as an AI-based Technique Has Been Widely Examined Worldwide as a Solution to Support Clinical Decision Making4.3 Natural Language Processing Provides Better Clinical Value Across Customer Segments With High Commercialization Potential5.0 Global Technology Value Chain5.1 Healthcare IT Firms Play a Vital Role Within the Innovation Ecosystem, Being Early Adopters of Technologies Addressing Needs on Time5.2 Healthcare Providers, Biotech Firms and Pharma Companies Deliver Very High Synergies For Growth Across the Value Chain5.3 Solutions to Optimize Patient Data, and Improving Decision Making Are Among the Top Growth Agendas of Global Innovation Stakeholders5.4 Medtronic, Roche, and GE Healthcare Are Among the Top Adopters of AI-based Technologies to Develop Better Clinical Solutions6.0 Strategic Recommendations6.1 Technology Developers Need to Source Innovations From Emerging Markets to Fuel Cutting-edge Global New Product Development Efforts6.2 Developing a Periodic Technology Tracking Program is Critical For Identifying Disruptive Solutions That Complement Existing Solutions6.3 Case in Point: Developing Deep Learning Algorithms For Detecting Skin Cancer Malignancies6.4 Case in Point: Addressing Adverse Events and Quality Control Processes Using Pharmacovigilance Artificial Intelligence Solutions6.5 The Pace of Technology Adoption is Critical For Developing Innovative Solutions Addressing Customer Needs7.0 Patent Landscape Assessment7.1 North American and European Countries Hold High Intensity of Patents, Dominating the Global Patent Landscape7.2 Development of a System For Approximating a Deep Neural Network For Anatomical Object Detection7.3 Deep Learning Offers Advantage in Identifying Potential Risks in Reporting the Risk to Healthcare Providers7.4 Development of Mobile Applications For Reliable Communication of Patient’s Medical Information Across Healthcare Facilities7.5 Key Contacts7.5 Key Contacts (continued)Legal Disclaimer




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