Healthcare


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.
Published: 30 Oct 2017

Transformation of the United States Medical Imaging Industry, 2017

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

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.

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