Evidence map›Paper›PMID 36268090›Full record

ArticleJournal of pathology informatics2022

A pathology order interface based on the transmission of texts obtained from pathology requisitions and just-in-time construction of HL7 messages.

Jay J Ye, Derek K Higgins, Barry L Evans

Abstract read
In one paragraph

Article in Journal of pathology informatics, 2022. 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

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Jay J YeDahl-Chase Pathology Associates, 417 State Street, Suite 540, Bangor, Maine 04401, USA.
Derek K HigginsDahl-Chase Pathology Associates, 417 State Street, Suite 540, Bangor, Maine 04401, USA.
Barry L EvansDahl-Chase Pathology Associates, 417 State Street, Suite 540, Bangor, Maine 04401, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A pathology order interface using Health Level 7 standards (HL7) generally has an HL7 client program that gathers information from the clinical electronic medical record system, packages the information in the form of HL7 message, and sends the message using secure communication protocols to an HL7 interface engine located on the pathology side. We describe an alternative approach that transmits the texts obtained from requisitions, with subsequent just-in-time construction of HL7 messages. Materials and methods: The order interface is between a dermatology clinic EMR and pathology information system. A text acquisition and processing program runs in the background in desktop computers in dermatology clinic so that a copy of pathology requisition text is obtained each time when the clinic prints a pathology requisition. Discrete elements of the data are extracted from this text, prepended to the text and saved on a shared drive within the dermatology office intranet. This text file is then transferred to pathology intranet using secure File Transfer Protocol (sFTP). Once received, an HL7 message construction program extracts the discrete data elements to construct an HL7 message. The HL7 message is then forwarded to an HL7 interface engine and entered into the pathology information system as an order. Results: Using an actual case as an example, the content and format of the information flowing through different steps of the interface are demonstrated. Conclusions: The construction of such an interface does not involve the clinic EMR vendor, thus avoiding its associated cost and potential delay. This interface has advantages over our other order interfaces constructed using the conventional approach in that it does not require a change of order process and it avoids duplicate orders.

Indexed as

HL7Order interface

Identifiers

PMID36268090
PMCPMC9577105

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.