Technology | Enterprise Imaging | January 23, 2017

Carestream Shows Zero-Footprint Enterprise Imaging Platform at HIMSS 2017

Platform can enable affordable new applications by streamlining deployment and interoperability, imaging analytics designed to improve decision support

Carestream, zero-footpring enterprise imaging, Clinical Collaboration Platform, HIMSS, RSNA, 2017

January 23, 2017 — Carestream Health will demonstrate a zero-footprint enterprise imaging platform that can easily enable new use cases and modules at the upcoming Healthcare Information and Management Systems Society (HIMSS) conference, Feb. 19-23 in Orlando, Fla.

Leveraging the latest interoperability standards such as FHIR, IHE-IOCM and IHE-XDS, the Carestream Clinical Collaboration Platform is future-proof by consolidating legacy proprietary systems as well as forming the foundation for advanced imaging analytics services. The company’s powerful enterprise image data management solution makes patients’ clinical data and images available to physicians and other stakeholders.

The Unified Core architecture is the heart of Carestream’s Clinical Collaboration Platform that delivers solutions to help manage enterprise workflow, consolidate silos of data, and facilitate diagnostic reading and image sharing as well as imaging analytics. Unified Core is a common set of codes and a development process that streamlines resource management, security and interoperability and manages clinical data such as DICOM, photos, videos, ECGs, continuity of care documents and scanned documents.

Since the platform is delivered via zero-footprint technology, healthcare providers can choose the right modules within the platform to address specific strategic needs such as: image-enabling the electronic medical record (EMR) for universal physician access; offering a new telemedicine model using remote order/entry; consolidating archives with intelligent image lifecycle management; and supporting regional image exchange and patient engagement.

Carestream also will showcase a work-in-progress, real-time analytics module designed to offer better decision support at the time of diagnosis to help reduce errors and improve quality. This module will offer report-based and image-based analytics using machine learning and natural language processing and is designed to: find errors and discrepancies in reports; conduct semantic searches; provide interpretation support for difficult cases; collect data for population health; and provide input for research projects.

For more information: www.carestream.com

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