Future Growth Potential Enhanced by the Shift Toward Value-based Care
17-May-2022
Global
Market Research
PD30-01-00-00-00
IT04523-GL-MR_26548
In this report, Frost & Sullivan examines the role of artificial intelligence (AI) in the healthcare sector. Stakeholders across the healthcare continuum increasingly use AI to cater to the descriptive, diagnostic, predictive, and prescriptive aspects of care provision. These aspects help improve healthcare delivery efficiency, provide personalized treatments to patients, and enhance clinical outcomes to improve patient and staff experience.
The study helps healthcare providers to understand the key trends emerging in the AI and healthcare space as they consider investing in cognitive capabilities. It provides an overview of AI and healthcare market growth drivers and restraints set to impact the deployment of AI-based solutions.
The study also highlights case studies and uses cases by end-user type—Payor/Provider, Medtech, Medical Imaging and Informatics, Pharma and Lifesciences IT, and Next-gen Diagnostics—in the healthcare market. The report provides high-level insights on key AI-driven chatbots, natural language processing, and computer vision technologies. In addition, it discusses best practices and principles for the ethical use of AI in healthcare.
The report also guides technology vendors on charting their strategic priorities and building new capabilities to capitalize on emerging growth opportunities in the healthcare AI space.
Author: Hemangi Patel
Why is it Increasingly Difficult To Grow?
The Strategic Imperative 8™
The Impact of the Top 3 Strategic Imperatives on Artificial Intelligence (AI) in the Healthcare Industry
Growth Opportunities Fuel The Growth Pipeline Engine™
AI Plays a Pivotal Role in Offering Affordable, Accessible, and Efficient Healthcare Services
Market Segmentation by End Users
AI Use Cases with Significant Impact Potential on the Healthcare Continuum
Purpose of AI Implementation in Healthcare Firms
Growth Drivers
Growth Restraints
Challenges in Implementing AI-based Healthcare Solutions
Trends Driving AI Use in Healthcare
Healthcare Vendors with at Least One AI Capability
AI Solution Areas Deployed in Healthcare Firms
Cloud as the Main Deployment Model for AI in Healthcare
AI Use Case—Payors
Case Study: AI for Payors—CLARA Optics for Claims Management
AI Use Case—Providers
Case Study: AI for Providers—Mayo Clinic Platform
AI Use Case—Medtech
Case Study: AI for Medtech—Medtronic Touch Surgery Enterprise
AI Use Case—Medical Imaging and Informatics
Case Study: AI for Medical Imaging and Informatics—Philips IntelliSpace AI Workflow Suite
AI Use Case—Pharma and Life Sciences IT
Case Study: AI For Pharma and Life Sciences IT—Novartis’s AI-based Drug Development Solution
AI Use Case—Next-gen Diagnostics
Case Study: AI for Next-gen Diagnostics—Roche’s NAVIFY Digital Pathology Integration with AI
Chatbots and Virtual Agents Increasingly Represent the Core of Patient Interactions in Healthcare Operations
Natural Language Processing’s Ability to Provide Insights from Unstructured Data Drives its Adoption in the Healthcare Sector
Computer Vision to Spur New Application Development in Healthcare Segments
AI-powered Preventive and Wellness Care to Increase in the Future
Best Practices and Ethical Uses
The Way Forward—Scaling AI in Healthcare
Growth Opportunity 1: Cloud-based Healthcare Data Management Solutions
Growth Opportunity 1: Cloud-based Healthcare Data Management Solutions (continued)
Growth Opportunity 2: AI Cybersecurity Solutions Securing Healthcare Infrastructure
Growth Opportunity 2: AI Cybersecurity Solutions Securing Healthcare Infrastructure (continued)
Growth Opportunity 3: Developing Preventative And Wellness Solutions to Address Future Needs
Growth Opportunity 3: Developing Preventative And Wellness Solutions to Address Future Needs (continued)
List of Exhibits
Legal Disclaimer
- Representative AI Use Cases in Healthcare Categorized into 4 Groupings, Global, 2021
- Purpose of AI Implementation in Healthcare Organizations, Global, 2021
- AI in Healthcare: Growth Drivers, Global, 2022–2028
- AI in Healthcare: Growth Restraints, Global, 2022–2028
- Challenges for AI Implementation in the Healthcare Sector, Global, 2021
- AI in Healthcare: Trends, Global, 2021
- AI Deployment in Retail Firms, Global, 2021
- AI Solutions Deployment or Deployment Plans in Healthcare Firms, Global, 2021
- Main AI Deployment Models Organizations Use Today, Global, 2021
- AI for Payors: Use Cases, Global, 2021
- AI for Providers: AI Use Cases, Global, 2021
- AI in Medtech: Use Cases, Global, 2021
- AI in Medical Imaging and Informatics: Use Cases, Global, 2021
- AI in Pharma and Life Sciences IT: Use Cases, Global, 2021
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| Deliverable Type | Market Research |
|---|---|
| Author | Hemangi Patel |
| Industries | Information Technology |
| No Index | No |
| Is Prebook | No |
| List of Charts and Figures | Representative AI Use Cases in Healthcare Categorized into 4 Groupings, Global, 2021~ Purpose of AI Implementation in Healthcare Organizations, Global, 2021~ AI in Healthcare: Growth Drivers, Global, 2022–2028~ AI in Healthcare: Growth Restraints, Global, 2022–2028~ Challenges for AI Implementation in the Healthcare Sector, Global, 2021~ AI in Healthcare: Trends, Global, 2021~ AI Deployment in Retail Firms, Global, 2021~ AI Solutions Deployment or Deployment Plans in Healthcare Firms, Global, 2021~ Main AI Deployment Models Organizations Use Today, Global, 2021~ AI for Payors: Use Cases, Global, 2021~ AI for Providers: AI Use Cases, Global, 2021~ AI in Medtech: Use Cases, Global, 2021~ AI in Medical Imaging and Informatics: Use Cases, Global, 2021~ AI in Pharma and Life Sciences IT: Use Cases, Global, 2021~ |
| Podcast | No |
| WIP Number | PD30-01-00-00-00 |