DUBLIN–(BUSINESS WIRE)–The “Growth Opportunities Arising due to the Use of Commercial AI Models in Radiology” report has been added to ResearchAndMarkets.com’s offering.
As artificial intelligence (AI) solutions gain acceptance in the imaging fraternity and among senior leaders in the health systems space, competition has intensified and necessitated the creation of differentiation strategies for companies that want to improve their revenue and sustain growth. The rapid proliferation of medical imaging AI companies has led to the availability of a plethora of solutions in the market; however, hospitals are not able to access these solutions (and vice versa).
The launch of platforms and marketplaces by imaging original equipment manufacturers (OEMs) and others has paved the way for new distribution channels and commercial models. The software-as-a-service (SaaS) marketplace (mainly cloud-based) is meant to simplify medical imaging providers’ access to various independent software vendors’ applications without having to contract and engage individually with each vendor.
Owing to the shift from fee-for-service models to value-based reimbursement, intrinsic factors that drive adoption (improved sensitivity and specificity and reduced reporting and interpretation time) will become less important to end users. AI vendors should design their solutions and their pricing strategies to align with the value delivered in the overall care pathway.
Predictive solutions and the identification of new protocol or indications for imaging will decrease readmissions and enable optimum resource utilization (equipment, manpower, and financial) and align with the goals of value-based care. As pressure on radiologists increases due to high scan volumes and complex cases, vendors should focus on condition-based packages that can be integrated with operational processes.
Vendors can offer comprehensive condition-specific packages by partnering with OEM platforms or marketplace to decrease the cost of sale, improve market access, and benefit from new pricing models and integration facilities.
Research Highlights
Strategic imperatives for vendors
Key market trends and impact of AI on radiology
Scenarios driving the adoption of AI among providers
Types of value creation of AI in radiology
Adoption of AI and functional prioritization by radiologists
Evolution/progression of pricing models for AI tools
Demand-side factors that influence the shift in pricing models
Value positioning of various pricing models
Top growth opportunities
Key Topics Covered:
Strategic Imperatives
Why is It Increasingly Difficult to Grow?
The Strategic Imperative
The Impact of the Top Three Strategic Imperatives on the Radiology AI Market
Growth Opportunities Fuel the Growth Pipeline Engine
Market Overview – Drivers of Adoption and Use-Cases
Market Segmentation
Key Trends and the Evolution of AI in Radiology
AI Development Ecosystem and the Role of Multiple Participants in the Deployment Stack
Growth Drivers
Radiology AI Use-Cases in Imaging Workflows
AI Use-Cases or Functionalities in Imaging Workflows
Deployment, Adoption Criteria, and Value Drivers
Types of Deployment, Value, and State of Play
Efficacy Levels and Their Impact on the Adoption of AI in Imaging
AI Adoption in Imaging – Key Evaluation Criteria for End-users
AI in Radiology – Types of Value Creation
AI in Radiology – Roadblocks and Recommendations
AI in Radiology – Pricing Strategies
AI in Radiology – Evolution/Progression of Pricing Models
Demand-Side Factors That Influence the Shift in Pricing Models
Value Positioning of Various Pricing Models
Unlocking Value Across the Radiology Stack to Abate Price Erosion
Growth Opportunity Universe, AI in Radiology
AI in Radiology – Growth Opportunity Matrix
Growth Opportunity 1: Disease-Specific Packages Sold Through Oem Platforms and Marketplaces Will Drive Adoption
Growth Opportunity 2: Strategic Partnerships with Medtech and Biopharma Companies Will Create New Revenue Streams
Growth Opportunity 3: Solutions That Benefit Referrers and Payers Will Yield High Revenue
For more information about this report visit https://www.researchandmarkets.com/r/mo2n6z