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.

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EHR intervention cuts unnecessary MRI orders by 35%

Many of these exams are ultimately deemed normal, and their results often do not affect how patients’ headaches are managed. 

The American Society of Nuclear Cardiology (ASNC) is asking Congress to repeal the appropriate use software provision mandate, which physicians say is an obstacle to efficient care.

ASNC asks Congress to officially repeal the AUC mandate for advanced medical imaging

Medicare rescinded the provision in the 2024 Medicare Physician Fee Schedule, but the law remains on the books. 

SCCT aims to provide common language for CCTA use with updated guidance

The Society of Cardiovascular Computed Tomography has developed a new expert consensus document designed to get physicians on the same page when discussing this growing technology. 

Peter Monteleone, MD, an interventional cardiologist, national director of cardiovascular research at Ascension Health, and assistant professor, UT Austin Dell School of Medicine, explained the use of artificial intelligence (AI) to independently identify an emergency stroke or pulmonary embolism (PE) finding on a CT scan and automatically alert critical care team members. His health system uses this type of AI for earlier activation of the pulmonary embolism response team (PERT).

AI critical care software revolutionizes emergency response

Ascension Health in Texas uses AI that can read CT scans for stroke and pulmonary embolism to activate care teams before the images even get into the PACS.

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Private equity-backed cardiology group puts cloud-based technology in hands of its cardiologists

Cardiovascular Associates of America, backed by Webster Equity Partners, currently includes practices in eight different states. Its partner cardiologists now have preferred access to multiple cloud-based services provided by Athenahealth. 

Best in KLAS 2024: New rankings for cardiovascular information systems, hemodynamic solutions

Hospital end users ranked the CVIS and hemodynamic systems they use, shedding light on their working relationships with IT vendors. 

Video interview with Nina Kottler, MD, MS, associate chief medical officer for clinical AI, Radiology Partners, explains what radiology practices should consider when assessing artificial intelligence (AI) return on investment in an era where there is little reimbursement. #RSNA #RSNA23 #RSNA2023 #HealthAI #AIhealthcare

Artificial intelligence ROI considerations in radiology

Rad Partners' Nina Kottler, MD, explains what practices should consider when assessing artificial intelligence solutions in an era where there is little reimbursement.  
 

Video of Bradley Hunter, the vice president for value-based care and core solutions at KLAS Research, explaining how the Best in KLAS rates for health informatics vendors are created.

How are the best in KLAS Health IT vendor rankings created?

KLAS conducts annual assessments of all types of healthcare information systems such as PACS, EMRs and cardiovascular information systems and ranks them. Bradley Hunter, the vice president for value-based care and core solutions at KLAS Research, explains the process of ranking.
 

Around the web

Ron Blankstein, MD, professor of radiology, Harvard Medical School, explains the use of artificial intelligence to detect heart disease in non-cardiac CT exams.

Eleven medical societies have signed on to a consensus statement aimed at standardizing imaging for suspected cardiovascular infections.

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