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

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

Related Content

Philips Launches Azurion With FlexArm
Technology | Angiography | January 17, 2019
Philips announced the launch of Azurion with FlexArm, designed to enhance positioning flexibility for image-guided...
Seamless Interoperability – Fact or Fiction? This webinar will show how Nemours Children’s Health System adoption of ScImage’s PICOM365 Enterprise PACS  improved workflow. The product will be highlighted at HIMSS 2019.
Sponsored Content | Webinar | PACS | January 17, 2019
This ScImage-sponsored ITN/DAIC webinar will be held at 2 p.m. Eastern time, Wednesday, Feb. 6, 2019.
NewYork-Presbyterian Hospital Partners With Philips for Health IT and Clinical Informatics
News | Enterprise Imaging | January 16, 2019
Philips announced that NewYork-Presbyterian Hospital has chosen to implement the company’s IntelliSpace Enterprise...
Artificial Intelligence Used in Clinical Practice to Measure Breast Density
News | Artificial Intelligence | January 15, 2019
An artificial intelligence (AI) algorithm measures breast density at the level of an experienced mammographer,...
Sponsored Content | Videos | Artificial Intelligence | January 15, 2019
ITN Contributing Editor Greg Freiherr offers an overview of...
Sponsored Content | Videos | Enterprise Imaging | January 14, 2019
ITN Contributing Editor Greg Freiherr offers an overview of enterprise
Videos | Interventional Radiology | January 11, 2019
Julius Chapiro, M.D., research faculty member and an...
Sponsored Content | Videos | Breast Imaging | January 11, 2019
Supplemental screening with ABUS helps personalize breast care for women with dense breasts and offers advanced...
AI Approach Outperformed Human Experts in Identifying Cervical Precancer
News | Digital Pathology | January 10, 2019
January 10, 2019 — A research team led by investigators from the National Institutes of Health and Global Good has de
Artificial intelligence, also called deep learning and machine learning, was the hottest topic at the 2018 Radiological Society of North America (RSNA)) meeting.

Artificial intelligence was the hottest topic at the 2018 Radiological Society of North America (RSNA)) meeting, which included a large area with its own presentation therater set asside for AI vendors.

Feature | Artificial Intelligence | January 10, 2019 | Dave Fornell, Editor
Hands down, the hottest topic in radiology the past two years has been the implementation of...