HL7’s Version 2.x (V2) messaging standard is the workhorse of electronic data exchange in the clinical domain and arguably the most widely implemented standard for healthcare in the world. This messaging standard allows the exchange of clinical data between systems. It is designed to support a central patient care system as well as a more distributed environment where data resides in departmental systems.
Early Hearing Detection and Intervention (EHDI) programs exist world-wide to help identify children with hearing loss. Because newborn hearing loss is a neuro-developmental emergency, children with hearing loss need to be identified shortly after birth to help them achieve better communication outcomes. This implementation guide focuses on the transmission of the hearing screening data elements from the hearing screening device to a recipient of data, which may be an electronic health record (EHR) or a Public Health Information System.
The Electronic Nutrition Care Process Record System (ENCPRS) Functional Profile is based on the Electronic Health Record System Functional Model R2 (EHRS-FM). The intent is to develop a standard list of functions and criteria needed for full integration of both the Nutrition Care Process (NCP) and the representative terms from the Nutrition Care Process Terminology (NCPT). The NCP serves as a systematic approach to providing high quality nutrition care. This standardization will encourage the acquisition of EHR systems by nutrition health providers and promote information interoperability between nutrition and food systems and other areas of healthcare. These requirements have been mapped into this functional profile and identify those portions of the HL7 EHR-S Functional Model that apply to patient care in the Nutrition Care Process. Further, these requirements identify functionality toward facilitating ease of use for those involved in patient care using the NCP, thus providing EHR vendors with conformance criteria that are specific to regulated tasks within the NCP in the HL7 International formats.
This project developed an implementation guide constraining CDA Release 2. The implementation guide supports electronic submission of HAI data to the National Healthcare Safety Network. CDC provided NHSN developers, vocabulary experts and CDA experts to support this project.
Clinical Quality Language (CQL) is a high-level, domain-specific language focused on clinical quality improvement and targeted at measure and decision support artifact authors and implementers.
In addition, this specification describes a machine-readable canonical representation called Expression Logical Model (ELM) targeted at implementations and designed to enable sharing of clinical knowledge.
This HL7 Version 3 (V3) standard describes the processes whereby HL7 V3 artifact specifications may be refined, constrained and extended to support implementation designs, conformance profiles, and realm-specific standards.
The present document specifies the protocol conformance testing for the 3GPP UE connecting to the 5G System (5GS) via its radio interface(s). The following information can be found in the present document (first part of a multi-part test specification): - the overall test structure; - the test configurations; - the conformance requirement and references to the core specifications; - the test purposes; and - a brief description of the test procedure, the specific test requirements and short message exchange table. The applicability of the individual test cases is specified in the ICS proforma specification (3GPP TS 38.523-2 [2]). The Test Suites are specified in part 3 (3GPP TS 38.523-3 [3]). The present document is valid for UE implemented according to 3GPP Releases starting from Release 15 up to the Release indicated on the cover page of the present document.
The present document is addressing the issues related to the introduction of AI into IoT systems and, as first priority, into the oneM2M architecture. The following points are discussed:
Identification of Relevant use case related to the introduction of AI in IoT systems.
Analysis of the main implications of this use case to the oneM2M architecture.
The selection of a relevant use case in view of its implementation as a Proof-of-Concept
The purpose of present document is to define quantitative evaluation criteria of network autonomicity categories, which are defined in the published ETSI GR ENI 007 [i.2]. The present document is composed of three components:
to further define the categories and quantitative factors determining the network autonomicity categories;
to define a framework of quantitative evaluation process and a scoring criteria;
to describe several scenario examples of quantitative evaluation criteria.
The present document provides information about the standardized YANG data models as they have been developed within IETF, IEEE and ONF to be used in a use cases-driven automation architecture for the wireless backhaul/X-Haul networks. Moreover, it provides gap analysis of existing standard YANG models (e.g. ONF, IETF, IEEE) and it discusses potential implementation issues.
Methods for testing whether TETRA Voice plus Data (V+D) Base Station (BS) and Mobile Station (MS) equipment and TETRA Direct Mode Operation (DMO) equipment achieve the performance specified in ETSI EN 300 392-2 [1]. Specific test methods for DMO equipment are recommended in annex F of the present document. The purpose of these specifications is to provide a sufficient quality of radio transmission and reception for equipment operating in a TETRA system and to minimize harmful interference to other equipment. The present document is applicable to TETRA systems operating at radio frequencies in the range of 137 MHz to 1 GHz. Versions V3.3.1 [i.5] and earlier of the present document specified the methods used for type testing. The minimum technical characteristics of TETRA Voice plus Data (V+D) Base Station (BS) and Mobile Station (MS) equipment and TETRA Direct Mode Operation (DMO) equipment and radio test methods to be used for providing presumption of conformity, are now specified in ETSI EN 303 758
