How Is Integration of Teleradiology in Healthcare Businesses a Profitable Decision?

23 Apr
2024

 
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Highlights

  • Introduction
  • Potential of Teleradiology 2.0
  • Role of cloud infrastructure in teleradiology
  • Partnerships and R&Ds in the sector

Teleradiology is an advanced diagnostic technique that improves access to specialized diagnostic knowledge, simplifies healthcare processes, and enables quicker decision-making during urgent situations by enhancing the efficiency and comprehensiveness of healthcare services. It involves electronically transmitting radiological images such as X-rays, CT scans, and MRIs from one site to another for interpretation and diagnosis. The MRI (magnetic resonance imaging) segment is anticipated to garner the highest revenue of $9,239.87 million by 2032.

Healthcare practitioners remotely examine these images and offer quick and expert insights, through secure and high-speed communication channels, to medical providers without any limitation of geographical barriers.

Teleradiology eliminates the necessity for radiologists to physically visit the site where patient images are taken, enabling them to work from any remote location. This reduces travel time and results in cost savings by eliminating the need for a full-time, in-house radiologist. It facilitates seamless examinations for hospitals requiring diagnostic imaging across various radiology specialties by enabling specialists to conduct remote examinations.

Teleradiology 2.0 is a new era in diagnostics

Teleradiology 2.0 represents the latest advancement in teleradiology platforms using the abilities of artificial intelligence (AI). This next generation of teleradiology platforms is designed to tackle key challenges in the industry, including turnaround time, radiologist burnout, and errors.

Errors are a constant concern in healthcare, particularly in radiology, leading to delays in diagnosis or treatment. AI-driven teleradiology platforms offer multiple avenues to minimize errors. Firstly, by automating tasks such as image processing, radiologists avoid errors that might arise from limited time. Moreover, these platforms incorporate functionalities such as real-time quality assurance checks and automated report generation, enhancing accuracy and minimizing errors.

Moreover, Teleradiology 2.0 offers a notable advantage in accelerating turnaround times. AI-based teleradiology platforms provide radiologists with real-time feedback, enhancing accuracy and reducing report turnaround time. Computer-Aided Detection (CADe) and Computer-Aided Diagnosis (CADx) systems are used in teleradiology to further accelerate turnaround times. CADe identifies abnormalities in images, whereas CADx aids in diagnosing them. Both systems analyze images and deliver results more rapidly than a human radiologist.

The dynamic potential of cloud infrastructure in teleradiology

In the landscape of teleradiology, a dynamic technological advancement is the emergence of cloud environments and cloud-based collaboration tools. This innovation enables seamless uploading, accessing, and storing of radiology images, reports, and data in virtual centers, resulting in notable advantages. Cloud architecture offers reduced infrastructure costs and enables authorized radiologists to access information from any location. As a result, cloud-based teleradiology is one of the leading global trends in the sector.

Impressive growth of Asia-Pacific Teleradiology industry                    

The Asia-Pacific region offers a lucrative opportunity for the teleradiology industry, driven by the rise in adoption of advanced teleradiology technologies and the high prevalence of chronic diseases. In addition, increased investments and the presence of key players in the teleradiology field significantly contribute to the growth of this sector in Asia-Pacific. Among the emerging economies in the Asia-Pacific, China is estimated to cite the fastest CAGR of 20.2% by 2032.

Strategic alliances by top players to dominate the teleradiology industry

The global teleradiology industry is competitive, and frontrunners have adopted strategic alliances to maintain their supremacy in the industry. For instance, in October 2023, Rology's artificial intelligence (AI)-assisted teleradiology platform achieved U.S. Food and Drug Administration (FDA) 510(k) clearance as a Class II Medical image management and processing system. This system gathers DICOM (Digital Imaging and Communications in Medicine) images from various imaging modalities and systems. These images are then encrypted, anonymized, stored, and distributed to radiologists according to their availability and specialization.

 

On the other hand, in August 2022, a well-established radiology practice based in Florida, STAR Teleradiology, expanded its partnership with Rad AI, the nation's rapidly growing radiologist-led AI company. This expansion involves the integration of Rad AI's advanced technology for generating customized radiology report impressions across STAR Teleradiology's entire practice. By leveraging this technology, STAR Teleradiology reaffirms its dedication to providing expert, precise, and rapid diagnostic imaging interpretation services.

 

Similarly, deepc and IMEXHS introduced their latest solution, "IMEX AI Powered by deepc," in May 2023. This collaboration brought together the company's expertise to establish a comprehensive resource for medical imaging needs. By integrating deepc's AI solutions with IMEXHS's cloud- derived enterprise imaging platform, diagnostic providers gain access to advanced technology that is adaptable, scalable, and easily accessible. Moreover, the solution ensures streamlined interoperability while upholding data integrity.

 

To conclude, teleradiology improves access to specialized diagnostic knowledge, simplifies healthcare processes, and enables quicker decision-making during urgent situations by enhancing the efficiency and comprehensiveness of healthcare services. Moreover, Teleradiology 2.0 represents the latest advancement in teleradiology platforms, using the abilities of artificial intelligence (AI). However, top players are adopting strategic alliances to dominate the progressive industry.

 

For detailed insights into the global teleradiology industry with future projections, contact our experts today!

 
Koyel Ghosh

Koyel Ghosh

Author’s Bio- Koyel Ghosh is a blogger with a strong passion and enjoys writing in miscellaneous domains, as she believes it lets her explore a wide variety of niches. She has an innate interest in creativity and enjoys experimenting with different writing styles. A writer who never stops imagining, she has been serving the corporate industry for the last five years.

 
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