Transformation of the United States Medical Imaging Industry, 2017

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 Pathways

RELEASE DATE
30-Oct-2017
REGION
North America
Research Code: K1FC-01-00-00-00
SKU: HC02913-NA-MR_21025
AvailableYesPDF Download

$4,950.00

Special Price $3,712.50 save 25 %

In stock
SKU
HC02913-NA-MR_21025

$4,950.00

$3,712.50save 25 %

DownloadLink
ENQUIRE NOW

Description

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: INFOGRAPHIC

This infographic presents a brief overview of the research, and highlights the key topics discussed in it.
Click image to view it in full size

Table of Contents

Research Methodology

Research Methodology (continued)

Medical Imaging—A Snapshot

Medical Imaging Equipment and Informatics—Outlook

The US Medical Imaging Industry—Enablers and Challenges

US Medical Imaging Industry—Snapshot by the Numbers

Procedure Volumes Growth Forecast

Procedure Volume Breakdown

Procedure Volume Breakdown (continued)

US Medical Imaging Industry—Looking beyond the Modality

Definition of Key Medical Imaging Informatics Terms

Goals of the Medical Imaging Informatics Industry

Cloud Computing in Medical Imaging—Advantages

Cloud Computing in Medical Imaging—Industry Trends

Advantages of Interoperability

Interoperability—Current Scenario

Artificial Intelligence—Key Terms

Artificial Intelligence in Medical Imaging—Applications

Will Artificial Intelligence Replace Radiologists?

Case Study—IBM Watson and PHM

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

Imaging Ecosystem—Stakeholders

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

What Keeps OEM CEOs Awake at Night?

Growing Need for Data in Procurement Decision Making

What Keeps Radiologists Awake at Night?

Addressing the Evolving Priorities of Imaging Stakeholders

What Keeps Payers Awake at Night?

CMS Facing Pushback from Care Providers

How is the Industry Addressing These Challenges?

Radiologists in Transition—New Roles and Responsibilities

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

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

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

Philips Healthcare

GE Healthcare

Siemens Healthineers

Canon’s Acquisition of Toshiba Yielding Dividends

Ambra Health

Intelerad

IBM Watson Health

Clinical Decision Support in Medical Imaging

Clinical Decision Support—CMS Rollout Delayed

Commercially Available Clinical Decision Support Solutions

Personalized Medicine and Medical Imaging

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 for Care Providers and Radiologists

Growth Opportunities for Medical Imaging OEMs

Strategic Imperatives for the US Medical Imaging Industry

The Last Word—3 Big Takeaways

Legal Disclaimer

Glossary of Terms

Market Engineering Methodology

Related Research
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 an
More Information
No Index No
Podcast No
Author Tanvir Jaikishen
Industries Healthcare
WIP Number K1FC-01-00-00-00
Is Prebook No