PACS Disaster Recovery
Overview
Pukka-j offer a fault-tolerant solution for disaster recovery of PACS image data using a web-based model for service. The Pukka-j back-up PACS provides an automated backup of acquired PACS image data and recovery of stored PACS image data all at a low operational cost and without the need of human intervention. This solution can be used for a variety of scheduled and unscheduled downtimes that occur on the main PACS. The Pukka-j PACS backup system has been intelligently designed to deal specifically with difficult PACS vendor’s architecture. The system employs three separate tasks that continuously monitor and backup the vendors PACS. The first task concentrates on mirroring examinations today. The second task constantly looks back over a three month period for short term historic data; this action captures all image data added to the primary PACS and includes post-processed data and imported images from removable media and CD’s from other imaging institutions. The third and final task deals with all other data going back in time to a preset date.
When considering the next generation PACS a thought should be given to the fact that most current PACS are less than 100% pure DICOM conformant and will store data in a proprietary format that only their software and device can retrieve. The Pukka-j standalone archive solution can guarantee that all examination data is stored in a non-proprietary DICOM format that is accessible to both the current and future PACS. With a PACS-neutral solution there is no need to migrate the examination data when you change your PACS.
Image Viewer
The PACS backup features the ability to view studies during the interim and until the primary PACS is fully recovered. The Pukka-j diagnostic viewer can be accessed as a standalone workstation application or within a web browser to query and view studies from the backup archive, should the PACS workstations fail. The Pukka-j viewer features include window/level presets, MPR, cross-reference lines and cine functions.