Your browser doesn't support javascript.
loading
How Carequality, The Sequoia Project, and eHealth Exchange Support the Interoperable Exchange of Health Data in the USA.
Davis, Blanca Didi; Swenson, Alan.
Afiliación
  • Davis BD; , . ddavis@sequoiaproject.org.
  • Swenson A; .
J Digit Imaging ; 35(4): 812-816, 2022 08.
Article en En | MEDLINE | ID: mdl-36070015
ABSTRACT
Every organization in the health IT industry plays an important role in overcoming barriers to health information exchange in the United States. It is important to understand imaging interoperability in the overall context of Health Information Exchange (HIE). The rapid evolution of storage, bandwidth and network transport technologies has made the handling of imaging data converge with the primarily text-based healthcare data. The radiology community must understand the overall environment and become a tightly integrated part of it. As the health IT ecosystems continue to evolve, it became clear that there would not be a single health information exchange network to service the nation. Rather, like other industries such as telecom and banking, there would be multiple networks that would need to interconnect. To support compliance to interoperability standards and specifications, The Sequoia Project began collaborating with industry to create testing programs and tooling that supports transport, security and content testing requirements for four production testing programs today. These testing programs validate compliance to standards for transport and security as well standards for the payloads such as clinical documents and imaging data. While once operating under the same umbrella, The Sequoia Project, Carequality and eHealth Exchange ( https//ehealthexchange.org/ ) have been separate companies since 2018. Each plays a unique role in helping patient information move where and when it is needed, each working with a framework of standards published by IHE, DICOM, and HL7 to enable health information exchange.
Asunto(s)
Palabras clave

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Radiología / Telemedicina / Sequoia Tipo de estudio: Guideline Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: J Digit Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Año: 2022 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Radiología / Telemedicina / Sequoia Tipo de estudio: Guideline Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: J Digit Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM / INFORMATICA MEDICA / RADIOLOGIA Año: 2022 Tipo del documento: Article