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Scope

1.1 This guide covers the process of defining and documenting the capabilities, the logical data sources and pathways of data exchange within a given network architecture of a Health Information Network (HIN) serving a set of constituents. It is not a technical implementation standard but, rather, it describes how the implementation methods and techniques can be used to logically coordinate clinical laboratory services and Electronic Health Record (EHR) systems involving participating organizations and sites connected by a networked communication system. It covers the content of the nodes and arcs of the resulting logical network involving both laboratory and EHR-capable sites. It also considers the various purposes and organizational arrangements for coordinating laboratory services within the network boundaries and the considerations for connections among external networks.

1.2 It refers to other standards for conventions within various data domains, such as Clinical Laboratory Information Management Systems (CLIMS) and EHR systems, and for messaging conventions. It is intended to outline how integration of CLIMS and EHR Systems can be undertaken to result in a transparent clinical decision support environment, regardless of the underlying implementation architecture, by describing the logical interoperability of information domains as facilitated by Information and Communications Technology (ICT).

1.3 It is directed at clinical laboratorians, information system managers and information systems vendors for use in planning and implementing coordinated laboratory services through effective dialogue.

Keywords

Health Information Network (HIN); data exchange; network; Electronic Health Record (EHR); Clinical Information Management Systems (CLIMS); ICS Number Code 35.240.80 (IT applications in health care technology)

To find similar documents by ASTM Volume:

14.01 (Healthcare Informatics)

To find similar documents by classification:

35.240.80 (IT applications in health care technology Including computer tomography)

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