Evidence map›Paper›PMID 31976034›Full record

ArticleOnline journal of public health informatics2019

Construction of an exchange interface for the transmission of laboratory results: a case of the National Tuberculosis Center.

Constant Joseph Koné, Ndri Nda Anatole Mian, Cataud Marius Guede, Man-Koumba Soumahoro

Abstract read
In one paragraph

Article in Online journal of public health informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Constant Joseph KonéPasteur Institute of Côte d'Ivoire, Epidemiology Unit.
Ndri Nda Anatole MianPasteur Institute of Côte d'Ivoire, Epidemiology Unit.
Cataud Marius GuedePasteur Institute of Côte d'Ivoire, Epidemiology Unit.
Man-Koumba SoumahoroPasteur Institute of Côte d'Ivoire, Epidemiology Unit.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction The transmission of test results by laboratories and their receipt by health facilities are common tasks in the processing of medical information. Managing the flow of information generated by these tasks remains a challenge for these centers. We describe a new system that will allow for electronic management of the transmission of results. Materials and methods The information system implemented is a client-server system consisting three main components: the server installed in the laboratory, the client distributed in the Anti-Tuberculosis Center and the communication channel represented by a Virtual Network. The exchange protocol is based on the HL7 standard that used messages of type ORU_R01. Results During the two months of implementation of this electronic result transmission system between the National Tuberculosis Reference Center in Abidjan and the Anti-Tuberculosis Center in Adzopé, which is about 110 kilometers away, twenty laboratory results were transmitted as soon as they left the laboratory, an improvement from the previous long turn-around-time of about 1 month. The minimalist interface and ease of use of the system have allowed it to be adopted by users. Discussion The use of the HL7 protocol for electronic notifications has proven its effectiveness in making transmissions of results instantaneous. Our system specifically addresses the problems related to efficient transmission of results; reduction of transmission time, information loss attributed to the use of paper, and transport costs incurred when transmitting results from remote sites. This system representing the 1rst version use a local codification that limits it to an interoperability with other environment that use a different code system. The use of a code system such as LOINC would allow full interoperability between different information systems.

Indexed as

Health FacilitiesHL7Information SystemsTuberculosis

Identifiers

PMID31976034
PMCPMC6975541

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.