SurfViewer is an enterprise medical imaging collaboration platform built on OHIF Viewer. It adds secure authentication, RBAC/ABAC authorization, audit logging, and holistic image sharing with persistent and real-time collaborative study workspaces. Designed for research, education, software evaluation, and investigation purposes.
SurfViewer is an enterprise medical imaging collaboration platform built on top of OHIF Viewer. It extends the open-source viewer with enterprise authentication, role-based and attribute-based access control (RBAC/ABAC), comprehensive audit logging, and secure collaboration capabilities. The platform supports virtually all DICOM imaging modalities supported by OHIF while providing the security, governance, and workflow features required for enterprise deployment.
SurfViewer's Holistic Image Sharing enables users to securely share not only a medical imaging study, but also the entire reading workspace. Users can resume a study session from any device, share static study sessions with colleagues, or collaborate in real time through dynamic study sessions while preserving annotations, measurements, layouts, and workflow state. Fine-grained access control and complete audit trails help organizations securely collaborate across departments and institutions.
SurfViewer is designed for research, education, software evaluation, and investigation purposes. It is not intended for clinical diagnosis or medical decision-making. The platform is deployed entirely within the customer's AWS account, allowing customers to maintain control of their data, identity management, security policies, and cloud resources.
Highlights
Enterprise medical imaging collaboration built on OHIF Viewer with secure authentication, RBAC/ABAC authorization, and comprehensive audit logging.
Holistic Image Sharing securely shares studies, persistent reading sessions, or real-time collaborative workspaces while preserving annotations, measurements, layouts, and workflow state.
Deploys entirely in your AWS account using a serverless architecture, keeping your imaging data under your control while minimizing infrastructure management and cost.
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
SurfViewer uses a single free pricing dimension, so the software subscription carries no charge. This subscription has no end date and you can cancel it at any time. The pricing does not scale by tiers, usage volume, or instance size — there is one option only. Keep in mind that separate AWS infrastructure costs still apply to the resources deployed in your account, such as compute and storage. Choosing an existing datastore during deployment can reduce a fixed monthly infrastructure cost. Those infrastructure charges are billed by AWS, not through this listing.
Top-of-mind questions for buyers
What does the free subscription cover, and what costs are separate?
The free subscription covers the SurfViewer software license itself, with no charge and no end date. Separate AWS infrastructure charges apply to the resources you deploy, such as compute, storage, and the imaging datastore. Those infrastructure charges are billed by AWS, not through this listing.
How can I reduce the infrastructure costs that apply outside the free software license?
During deployment, you set stack parameters including a datastore choice. If you already have an existing imaging datastore available, you can select it instead of provisioning a new one. This reduces a fixed monthly infrastructure cost. These charges are billed by AWS, separate from the free software subscription.
Does adding more viewer users or ingesting more studies change what I pay for the software?
No. The software subscription is free with a single dimension, so adding viewer accounts or ingesting more imaging studies does not change the software charge. Your costs come only from the AWS infrastructure supporting those users and data, which AWS bills directly and separately.
surfimaging.ai
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