Enterprise Imaging

Enterprise imaging brings together all imaging exams, patient data and reports from across a healthcare system into one location to aid efficiency and economy of scale for data storage. This enables immediate access to images and reports any clinical user of the electronic medical record (EMR) across a healthcare system, regardless of location. Enterprise imaging (EI) systems replace the former system of using a variety of disparate, siloed picture archiving and communication systems (PACS), radiology information systems (RIS), and a variety of separate, dedicated workstations and logins to view or post-process different imaging modalities. Often these siloed systems cannot interoperate and cannot easily be connected. Web-based EI systems are becoming the standard across most healthcare systems to incorporate not only radiology, but also cardiology (CVIS), pathology and dozens of other departments to centralize all patient data into one cloud-based data storage and data management system.

Commercially available AI increases breast cancer detection by nearly 20%
Results from the world’s largest prospective artificial intelligence study revealed the system could significantly benefit breast cancer screening programs.
Radiology vendor Visage Imaging inks $19M deal with 1 of Midwest’s largest multispecialty groups
The seven-year agreement is with Illinois-based Duly Health and Care, which employs 1,000 physicians including 40 radiologists working across 150 locations.
ACR Assess-AI national data registry tracks performance of clinical algorithms
Christoph Wald, MD, vice chair of the ACR Board of Chancellors, explains how the new Assess-AI National Radiology Data Registry is designed to help monitor accuracy and other metrics for radiology artificial intelligence.
Epic claims interoperability feature averted over 5.8M duplicative imaging exams in 1 year
This would amount to between 400,000 and 500,000 unnecessary scans each month, the Verona, Wisconsin-based vendor said in recently published research.
Imaging leaders share 7 key considerations for remote scanning programs
A new AHRA report provides an in-depth overview of concerns related to remote operations, highlighting everything from safety issues to regulatory oversight.

Tracking follow-up imaging adherence rates can lead to better patient care

Follow-up imaging adherence rates vary based on a number of factors, according to new research published in the American Journal of Roentgenology. The authors noted that closely monitoring such patterns can help providers engage patients and minimize risk.

March 13, 2019

Digital Pathology Pilot Predicts Prosperity: Pondering Pathology’s Pivot

Sponsored by Sectra

When it comes to digital medicine, digital pathology is very late to the game. But its time is coming. And the benefits could be many: Bolstering the capabilities, efficiency and reach of individual pathologists, cutting patient wait times, streamlining multidisciplinary team meetings (MDTs) and offering more data-rich decision-making. It could even obviate a shortage of pathologists. Where does it fit into your strategic plan?

Less-experienced neuroradiologists serve referrers better with structured reporting

Researchers at Harvard and several institutions in Italy have shown that clinicians managing neuromuscular conditions receive clinically relevant information more consistently from structured radiology reports than from reports rendered in free text. And the gains are greatest when the reporting radiologist is not deeply experienced.

March 11, 2019

What CT scans, mammograms can reveal about a patient’s heart health

CT scans and mammograms can reveal valuable information about a patient’s heart health, even if the exam was not specifically ordered for that purpose.

March 8, 2019

Can natural language processing predict downstream radiology utilization?

Researchers looked at data from more than 2,500 free-text radiology reports of patients undergoing hepatocellular carcinoma surveillance to determine if an NLP approach could extract clinical data and predict downstream utilization of resources.

March 7, 2019

Natural language processing could help radiology providers anticipate demand

Natural language processing (NLP) could help radiology providers anticipate fluctuations in demand and provide faster patient care, according to a new study published in the Journal of the American College of Radiology.

March 5, 2019

CDS, education improves guideline adherence for CT-detected incidental ovarian lesions

Educating radiologists on ACR-recommended follow-up for incidental adnexal lesions and incorporating such guidelines into normal workflow significantly improved the rate of adherence, reported authors of a Feb. 26 study published in the American Journal of Roentgenology.

March 1, 2019

Analytics-driven worklists speed-up musculoskeletal MRI read times

“Our results show that worklists organized by relative individual interpretation times can decrease the overall group interpretation time in a multireader setting,” wrote authors of a Feb. 26 study published in the the American Journal of Roentgenology.

February 28, 2019

Enterprise Imaging

Commercially available AI increases breast cancer detection by nearly 20%

Radiology vendor Visage Imaging inks $19M deal with 1 of Midwest’s largest multispecialty groups

ACR Assess-AI national data registry tracks performance of clinical algorithms

Epic claims interoperability feature averted over 5.8M duplicative imaging exams in 1 year

Imaging leaders share 7 key considerations for remote scanning programs