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Homepage>IEEE Standards>35 INFORMATION TECHNOLOGY. OFFICE MACHINES>35.040 Character sets and information coding>35.040.01 Information coding in general>IEEE 1847-2019 - IEEE Recommended Practice for Common Framework of Location Services for Healthcare
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Released: 10.02.2020

IEEE 1847-2019 - IEEE Recommended Practice for Common Framework of Location Services for Healthcare

IEEE Recommended Practice for Common Framework of Location Services for Healthcare

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Standard number:IEEE 1847-2019
Released:10.02.2020
ISBN:978-1-5044-6335-5
Pages:18
Status:Active
Language:English
DESCRIPTION

IEEE 1847-2019

This recommended practice contains a common framework of IEEE SA location services for healthcare (LS-H). LS-H includes hardware and software that provides location information for clinical and nonclinical healthcare use cases. The framework includes 1) common terminology and 2) a conceptual information model.

This common framework is a foundation for future LS-H standards and recommended practices intended to improve healthcare efficiency and value. Healthcare provider organizations desire these technologies to automatically track and trace items and people for a large variety of use cases such as asset tracking, surgical workflow, and patient elopement. These technologies have many potential benefits such as inventory optimization, reducing patient wait times, and increasing patient and staff safety. Prior to this framework, industry lacked common terminology and a model to frame interoperability development. Implementers experienced challenges of non-standardized solutions such as custom interfaces, multiple redundant infrastructures, long implementations, and difficult sustainment. LS-H standards and recommended practices will increase interoperability, reduce redundancy, increase adoption, increase innovation, and improve consumer confidence.

New IEEE Standard - Active. A common framework of Location Services for Healthcare (LS-H) is contained in this recommended practice. The framework includes LS-H conceptual information model and LS-H common terminology.