NilRead
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NilRead
Hyland’s robust universal diagnostic viewer gives fast access to medical images across the healthcare system.
NilRead features
Whether you’re a clinician or diagnostician, NilRead’s features power access to the information you need to deliver better care faster.
Robust imaging tools
A rich set of viewing tools and role- and specialty-based protocols give the right people the right information when and where they need it.
Collaboration and image sharing
Cross-enterprise tools enable sending secure study links to peers and colleagues for real-time interactive collaboration or second opinions.
Mobile workflows
A consistent user interface and architecture provide a unified experience across devices — mobile, tablet, PC or Mac.
Anywhere, anytime access
Server-side rendering and hub-and-spoke deployment ensure ultrafast speed and high-performance viewing, even in locations with low bandwidth.
Enhanced security
A true zero-footprint, web-based architecture streamlines launch, simplifies support and safeguards personal health information.
Patient self-service portals
Patients can view, share and download their medical images, and health systems can modernize their workflows while complying with regulations.
Eliminate data silos
Learn how NilRead provides access to all imaging types across your enterprise.
Integrations
Bridging workflows with impactful integrations, NilRead integrates with the systems your staff uses every day — meaning less time switching between windows and more time focusing on patient well-being.
Benefits
Advantages of a comprehensive, integrated viewer
Exceptional employee experience
Enterprise imaging built for clinicians
Case studies
Discover how Hyland Healthcare customers achieve measurable value using NilRead.
UNC Health
North Carolina healthcare system integrates enterprise imaging with its EMR, facilitating image exchange and creating a true longitudinal patient imaging record.
University medical center
Healthcare organization gives faster, more complete answers for patients awaiting stroke diagnosis.
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