Transformation of the United States Medical Imaging Industry, 2017

Consolidations, Process Automation, and Emphasis on Interoperability Drive Greater Standardization and Integration of Imaging in Clinical Care Pathway

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The US medical imaging industry is undergoing a transformation with stakeholders across the ecosystem emphasizing collaborative population health-based approaches over conventional episode-based models of care delivery. Current reimbursement and regulatory factors are pushing the imaging industry away from a “get bigger” approach that emphasizes more imaging scans and towards a “get better” approach that emphasizes cost reductions and improved efficiency across the value chain. To this end, the imaging industry seeks to become more patient-centric, prioritizing improved patient experience and empowerment.

To succeed in this transition, the imaging industry is moving beyond the modality and focusing on enhancing the value of the image itself. The industry seeks to create a coherent strategy to standardize the imaging process and integrate imaging into care protocols across multiple clinical areas. Introducing standardization into a fragmented care delivery landscape hinges on frictionless interoperability and sharing of data, which are widely regarded as the single-most important goal for the imaging industry. The ability to share and collate millions of imaging scans enables the industry to apply deep learning analytics solutions that will evolve best practices, enhance automation, and improve the workflow productivity of care provision.

Questions the Study Will Answer:
How are financial and regulatory policies impacting the medical industry?
What are the current challenges being faced by regulators, radiologists, care providers, and payers in the imaging industry?
What collaborative, multidisciplinary approaches are currently being adopted to overcome these challenges?
What are the critical elements required for the industry to shift from reactive approaches towards imaging and become future ready?
What are the new and evolving vendor-customer business models that consider care provider goals and budgets?
What are the growth opportunities for care providers and radiologists?
What are the growth opportunities for medical imaging OEMs?
Where will the future medical imaging industry look like and what do stakeholders in the imaging ecosystem need to do to bring about this evolution?
How are new technologies and solutions enabling the radiologist to play a direct more active role in improving patient outcomes?

This research services also explores the next big trends in medical imaging that will contribute to the successful transformation of this industry. Trends include artificial intelligence, shift to population health management, the rise of teleradiology, and imaging workflow and process automation. This study also takes a look at the advantages offered by a select group of medical imaging market participants , namely Philips Healthcare, GE Healthcare, Siemens Healthineers, Canon/Toshiba, Ambra Health, Intelerad, and IBM Watson Health.

Table of Contents

1. Research Methodology
Research Methodology
2. Executive Summary
Medical Imaging—A Snapshot
Medical Imaging Equipment and Informatics—Outlook
The US Medical Imaging Industry—Enablers and Challenges
3. The US Medical Imaging Industry by the Numbers
US Medical Imaging Industry—Snapshot by the Numbers
Procedure Volumes Growth Forecast
Procedure Volume Breakdown
4. Snapshot of the Imaging Informatics Industry
US Medical Imaging Industry—Looking beyond the Modality
Definition of Key Medical Imaging Informatics Terms
Goals of the Medical Imaging Informatics Industry
5. Key Trends in Medical Imaging Informatics—Cloud Computing
Cloud Computing in Medical Imaging—Advantages
Cloud Computing in Medical Imaging—Industry Trends
6. Interoperability and Free Flow of Data in Medical Imaging
Advantages of Interoperability
Interoperability—Current Scenario
7. Artificial Intelligence
Artificial Intelligence—Key Terms
Artificial Intelligence in Medical Imaging—Applications
Will Artificial Intelligence Replace Radiologists?
Case Study—IBM Watson and PHM
8. Medical Imaging Industry—Current and Future Impact of Major Disruptors
Factors Disrupting the Medical Imaging Industry
CMS Proposes Rollback of Bundled Payments
Value-based Payments—A Tale of Two Realities
Site Neutral Payments
Impact of Site Neutral Payments on Medical Imaging
MACRA Payments
Overall Impact on the Medical Imaging Industry
New Market Entrants
Care Provider Budgets
9. Key Challenges in the Medical Imaging Industry
Imaging Ecosystem—Stakeholders
10. Care Providers—Key Challenges
What Keeps Care Provider CEOs Awake at Night?
Decision Making in Large Hospitals/Health Systems
Challenges Unique to Small and Medium Care Providers
Addressing Unmet Needs of Small and Medium Providers
Need for New Budget Friendly Procurement Models
11. Original Equipment Manufacturers (OEMs)—Key Challenges
What Keeps OEM CEOs Awake at Night?
Growing Need for Data in Procurement Decision Making
12. Radiologists and Radiology Technologists—Key Challenges
What Keeps Radiologists Awake at Night?
Addressing the Evolving Priorities of Imaging Stakeholders
13. Payers and Regulators—Key Challenges
What Keeps Payers Awake at Night?
CMS Facing Pushback from Care Providers
14. How the Medical Imaging Industry is Addressing these Challenges
How is the Industry Addressing These Challenges?
Radiologists in Transition—New Roles and Responsibilities
15. New Long-term Risk Sharing Vendor-Customer Enterprise Partnerships
New MES and MVS Business Models—Definitions
MES and MVS Business Models Maturity
List of Long-term Risk Sharing Partnerships in the US
Enterprise Partnerships—Best Practice Case Study
Cast Study—Re-Design of Pediatric Radiology Suite
MES Models for Small and Medium Care Providers
16. Radiologist Employment Trends
American College of Radiology (ACR) Survey 2017
ACR Survey Trends—Employment by Location
Employment Trends by Geography and Specialty—2017
Current Radiologist Employment by the Numbers
Radiology Employment Trends—Future Implications
17. Role and Evolution of Quality Metrics for Reimbursement
Quality Metrics in Medical Imaging—Difficult to Develop
Steps in the Metrics Development Process
Use of Registries for Reporting of Quality Metrics
Synergies between Industry and Radiologists
18. Analysis of Select Medical Imaging Market Participants
Philips Healthcare
GE Healthcare
Siemens Healthineers
Canon’s Acquisition of Toshiba Yielding Dividends
Ambra Health
IBM Watson Health
19. Future of Medical Imaging— Clinical Decision Support (CDS)
Clinical Decision Support in Medical Imaging
Clinical Decision Support—CMS Rollout Delayed
Commercially Available Clinical Decision Support Solutions
20. Personalized Medicine
Personalized Medicine and Medical Imaging
21. Teleradiology
Growth in the US Teleradiology Industry
US Teleradiology—Key Industry Trends
22. Population Health Management
Population Health Management
Population Health Management—Risk Stratification
Key Components of PHM in Medical Imaging
Industry Trend—Siemens Healthineers and PHM
23. Growth Opportunities
Growth Opportunities for Care Providers and Radiologists
Growth Opportunities for Medical Imaging OEMs
Strategic Imperatives for the US Medical Imaging Industry
24. The Last Word
The Last Word—3 Big Takeaways
Legal Disclaimer
25. Appendix
Glossary of Terms
Market Engineering Methodology


List of Figures & Charts

1. The Medical Imaging Industry: Key Numbers, US, 2017
2. The Medical Imaging Industry: Benefits of Artificial Intelligence in Medical Imaging, US, 2017
3. Job Hires, US, 2013–2016
4. Breakup of Radiology Jobs by Location, US, 2014–2017

1. The Medical Imaging Industry: Diagnostic Imaging Procedure Volume Forecast, US, 2014–2023
2. Volume Breakdown by Payer, US, 2017
3. Volume Breakdown by Facility Type, US, 2017
4. Volume Breakdown by Radiologist Site of Service, US, 2017
5. Radiologist Employment Survey: Employment by Location, US, 2017
6. MIPS Performance Category Weighting for Radiologists, US, 2017




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