Radiology Cloud and Archive Storage

Radiology imaging studies require massive amounts of data storage either in on-premise server farms, or using cloud data storage via an internet connection. There was progress toward cloud adoption prior to the COVID pandemic, but the pandemic made many healthcare institutions realize the benefits of having their data internet accessible for clinicians outside the traditional hospital environment, including mobile computing, remote radiology reading and easier image and data access for referring physicians. Cloud allows the liberation of physical space previously occupied by on-premises servers and the potential cost savings in areas like air conditioning and electrical usage. Cloud also enables the ability to redirect IT staff to more strategic initiatives. Outsourcing data storage can also help alleviate issues with short staff IT departments, and offer better cybersecurity by vendors that have specialized teams monitoring their servers 24-7.
 

Cloud

Aycan introduces a 'mini' PACS for independent practices

The enterprise imaging system is equipped with basic features for storage and sharing, with the option to upgrade.

March 26, 2024
Ramsoft OmegaAI progressive uploading

OmegaAI adds 'progressive loading' for real-time radiology image reading

The cloud-based enterprise image system loads scan results almost instantly.

March 15, 2024
Cloud data storage is enabling new efficiencies in healthcare and radiology.

Philips moves digital pathology to the cloud with AWS

The partnership aims to move labs to digital workflows to streamline diagnostics.

March 13, 2024
Sectra's packed booth at RSNA 2023. Sectra again won the Best in KLAS 2024 awards as the best vendor to work with for for both large and small sized radiology PACS.

Best in KLAS 2024 rankings released, showcasing medical imaging IT systems

End-users of various radiology IT systems offer their assessment of the software they use in the annual KLAS Research 2024 Best in KLAS report.

February 7, 2024
Kyle Souligne, director, enterprise imaging radiology, Agfa Healthcare, discusses technologies like workflow orchestration, AI and cloud that can be used to optimize radiologist’s processes and create efficiency, so they work smarter, not harder. These technologies are playing an increasing role to address the shortage of radiologists.

Optimizing reading efficiency to address radiologist shortages

Agfa Healthcare's Kyle Souligne discusses technologies that can optimize physicians' efficiency to help practices do more with less. 

February 5, 2024
Lyle McMillin, principal healthcare product manager with Hyland, explains radiology IT issues and how cloud and enterprise imaging can be a solution. #RSNA #RSNA23 #RSNA2023 #PACS #enterpriseimaging

Radiology embracing the flexibility of imaging data stored off-site in the cloud

Lyle McMillin, with radiology IT vendor Hyland, explains trends he sees in the market and a definite shift toward cloud and enterprise imaging to address challenges in the market. 

February 1, 2024
Amy Thompson, Signify Research, explains key observations in the teleradiology market at RSNA 2023, including the in creasing use of cloud and AI.

Cloud and AI are key to teleradiology success in post-COVID resurgence, expert says

Increasing use of cloud and AI are among the trends observed by Amy Thompson, research manager for healthcare IT at the healthcare market analysis firm Signify Research, at RSNA 2023.

January 24, 2024
Cloud storage

Rad AI leverages Google Cloud for radiology report customization

The partnership aims to unlock the power of artificial intelligence to better meet radiologists' preferences.

January 19, 2024

Around the web

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans. 

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday. 

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