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Transformation of the United States Medical Imaging Industry, 2017

Transformation of the United States Medical Imaging Industry, 2017

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.

  • Research Methodology
  • Executive Summary
    • Medical Imaging—A Snapshot
    • Medical Imaging Equipment and Informatics—Outlook
    • The US Medical Imaging Industry—Enablers and Challenges
  • The US Medical Imaging Industry by the Numbers
    • US Medical Imaging Industry—Snapshot by the Numbers
    • Procedure Volumes Growth Forecast
      • Table The Medical Imaging Industry: Diagnostic Imaging Procedure Volume Forecast, US, 2014–2023
    • Procedure Volume Breakdown
  • 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
  • Key Trends in Medical Imaging Informatics— Cloud Computing
    • Cloud Computing in Medical Imaging—Advantages
    • Cloud Computing in Medical Imaging—Industry Trends
  • Interoperability and Free Flow of Data in Medical Imaging
    • Advantages of Interoperability
    • Interoperability—Current Scenario
  • Artificial Intelligence
    • Artificial Intelligence—Key Terms
    • Artificial Intelligence in Medical Imaging—Applications
    • Will Artificial Intelligence Replace Radiologists?
    • Case Study—IBM Watson and PHM
  • 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
  • Key Challenges in the Medical Imaging Industry
    • Imaging Ecosystem—Stakeholders
  • 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
  • Original Equipment Manufacturers (OEMs)— Key Challenges
    • What Keeps OEM CEOs Awake at Night?
    • Growing Need for Data in Procurement Decision Making
  • Radiologists and Radiology Technologists— Key Challenges
    • What Keeps Radiologists Awake at Night?
    • Addressing the Evolving Priorities of Imaging Stakeholders
  • Payers and Regulators—Key Challenges
    • What Keeps Payers Awake at Night?
    • CMS Facing Pushback from Care Providers
  • How the Medical Imaging Industry is Addressing these Challenges
    • How is the Industry Addressing These Challenges?
    • Radiologists in Transition—New Roles and Responsibilities
  • 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
  • Radiologist Employment Trends
    • American College of Radiology (ACR) Survey 2017
      • Table Job Hires, US, 2013–2016
    • ACR Survey Trends—Employment by Location
      • Table Breakup of Radiology Jobs by Location, US, 2014–2017
    • Employment Trends by Geography and Specialty—2017
    • Current Radiologist Employment by the Numbers
    • Radiology Employment Trends—Future Implications
  • 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
  • Analysis of Select Medical Imaging Market Participants
    • Philips Healthcare
    • GE Healthcare
    • Siemens Healthineers
    • Canon's Acquisition of Toshiba Yielding Dividends
    • Ambra Health
    • Intelerad
    • IBM Watson Health
  • 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
  • Personalized Medicine
    • Personalized Medicine and Medical Imaging
  • Teleradiology
    • Growth in the US Teleradiology Industry
    • US Teleradiology—Key Industry Trends
  • Population Health Management
    • Population Health Management—Risk Stratification
    • Key Components of PHM in Medical Imaging
    • Industry Trend—Siemens Healthineers and PHM
  • Growth Opportunities
    • Growth Opportunities for Care Providers and Radiologists
    • Growth Opportunities for Medical Imaging OEMs
    • Strategic Imperatives for the US Medical Imaging Industry
  • The Last Word
    • The Last Word—3 Big Takeaways
  • Appendix
    • Glossary of Terms
    • Market Engineering Methodology

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