Transfer Medical Images Seamlessly Across Global Networks.
Create an enterprise-wide medical image exchange and grow your referrals and patient transfers worldwide. Share images in real-time — no VPN or CDs required.
Accelerate Medical Image Uploads
Powered by the cloud, Ambra enables medical image uploads from a myriad of sources. Admissions staff save time with our easy-to-use one-click CD uploader. Automatically upload imaging directly from the EHR. Ad hoc transfers are instant with the Ambra web uploader. Patients upload prior imaging from home with Ambra’s online Patient Portal. Other sites use the Referring Physician Portal so you have a patient’s imaging before they set foot in admissions.
Exchange Medical Images. Instantly.
Ambra’s image sharing and automated routing capabilities transform efficiency and the speed of image transfer in trauma situations, second opinion collaboration, and referrals as well as enabling patient uploads. Instantly exchange medical imaging through a secure web-based link to streamline one-off interactions. For high-volume, more frequent image exchange, our powerful gateway facilitates point-to-point connections to transfer from DICOM modalities and PACS, as well as RIS via HL7, all using the cloud. Unique protocols ensure the highest degree of reliability possible for study uploads— in fact, in a comparison over a 12-month period at a leading healthcare provider, Ambra never lost a single study that was exchanged via its platform and was able to successfully process 100% of studies uploaded.
Automate Image Routing
Push studies from outside facilities or internal PACS directly into a trauma room or surgical suite using automated routing rules. And for high volume imaging, our lightweight gateway optimizes performance. Flexible, configurable routing rules automate workflows and facilitate sharing studies across organizations, locations, groups, or users. Regardless of where the study comes from, Ambra can perform both automated and semi-automated processes to match incoming studies to local orders for imaging based on basic patient information.