Traditionally, PACS and RIS have coexisted in the same hospital but kept separate databases containing supposedly identical data -- a situation ripe with potential for inaccuracies. Ideally, hospitals should be able to address user needs through use of a
Traditionally, PACS and RIS have coexisted in the same hospital but kept separate databases containing supposedly identical data - a situation ripe with potential for inaccuracies. Ideally, hospitals should be able to address user needs through use of a single database.
"Integration is not the same as connectivity," said Dr. Nogah Haramati, director of informatics and an associate professor of radiology and orthopedic surgery at Albert Einstein College of Medicine, in a paper published last year (J Healthc Inf Manag 2000;14:69-81).
Connectivity is established through bidirectional HL7 or DICOM links, whereas integration implies that the two systems are truly working together, according to Haramati. True integration is what is missing.
One example of an emerging PACS and RIS integration problem is control of archiving and prefetching processes, traditionally a PACS function. Some RIS vendors are assuming this role, however, by overseeing archival functions and issuing DICOM commands to prefetch images to various locations. The problem is that users wishing to view a patient's images may get different results depending on whether the image was prefetched from the RIS or from the PACS, Haramati said.
While the RIS may have issued a prefetch and sent the image to the RIS user rapidly, the PACS may be unaware the exam has already been prefetched and busy itself obtaining the exam again from the slow archive. The result for the PACS user is a delay caused by lack of integration.
Haramati categorizes three types of solution to PACS-RIS integration:
"Although perhaps not an optimal configuration, this combined decentralized approach might be preferable to database duplication," Haramati said. "Active applications actually become centralized with respect to a single database object."
None of these solutions is mutually exclusive of the other, and all three can be implemented together on RIS and PACS, he said.
Stay at the forefront of radiology with the Diagnostic Imaging newsletter, delivering the latest news, clinical insights, and imaging advancements for today’s radiologists.
FDA Clears New Radiography/Fluoroscopy Systems from Siemens Healthineers
July 21st 2025Offering ergonomic controls and AI-enabled features, the remote-controlled Luminos Q.namix R system and the Luminos Q.namix T platform with tableside control reportedly facilitate workflow efficiencies for complex radiography and fluoroscopy examinations.
FDA Clears Point-Of-Care Ultrasound Platform and AI Software for Neuraxial Procedures
July 17th 2025The dual FDA clearances for the Accuro 3S point-of-care ultrasound device and the SpineNav-AI machine learning-based software may enhance precision and safety with ultrasound-guided neuraxial procedures.
Stroke MRI Study Assesses Impact of Motion Artifacts Upon AI and Radiologist Lesion Detection
July 16th 2025Noting a 7.4 percent incidence of motion artifacts on brain MRI scans for suspected stroke patients, the authors of a new study found that motion artifacts can reduce radiologist and AI accuracy for detecting hemorrhagic lesions.