Evidence map›Paper›PMID 38171359›Full record

ArticleApplied clinical informatics2024

Mapping Injection Order Messages to Health Level 7 Fast Healthcare Interoperability Resources to Collate Infusion Pump Data.

Shunsuke Doi, Shinichiroh Yokota, Yugo Nagae, Koichi Takahashi, Mitsuhiro Aoki, Kazuhiko Ohe

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Article in Applied clinical informatics, 2024. 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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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Shunsuke DoiDepartment of Healthcare Information Management, The University of Tokyo Hospital, Tokyo, Japan.
Shinichiroh YokotaDepartment of Healthcare Information Management, The University of Tokyo Hospital, Tokyo, Japan.
Yugo NagaeDepartment of Healthcare Information Management, The University of Tokyo Hospital, Tokyo, Japan.
Koichi TakahashiMedical Instruments Development and Technical Sales Department, Nipro Corporation, Osaka, Japan.
Mitsuhiro AokiSoftware Development Division, Nipro System Software Engineering Corporation, Tokyo, Japan.
Kazuhiko OheGraduate School of Medicine, The University of Tokyo, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhen administering an infusion to a patient, it is necessary to verify that the infusion pump settings are in accordance with the injection orders provided by the physician. However, the infusion rate entered into the infusion pump by the health care provider cannot be automatically reconciled with the injection order information entered into the electronic medical records (EMRs). This is because of the difficulty in linking the infusion rate entered into the infusion pump by the health care provider with the injection order information entered into the EMRs.

objectivesThis study investigated a data linkage method for reconciling infusion pump settings with injection orders in the EMRs.

methodsWe devised and implemented a mechanism to convert injection order information into the Health Level 7 Fast Healthcare Interoperability Resources (FHIR), a new health information exchange standard, and match it with an infusion pump management system in a standard and simple manner using a REpresentational State Transfer (REST) application programming interface (API). The injection order information was extracted from Standardized Structured Medical Record Information Exchange version 2 International Organization for Standardization/technical specification 24289:2021 and was converted to the FHIR format using a commercially supplied FHIR conversion module and our own mapping definition. Data were also sent to the infusion pump management system using the REST Web API.

resultsInformation necessary for injection implementation in hospital wards can be transferred to FHIR and linked. The infusion pump management system application screen allowed the confirmation that the two pieces of information matched, and it displayed an error message if they did not.

conclusionUsing FHIR, the data linkage between EMRs and infusion pump management systems can be smoothly implemented. We plan to develop a new mechanism that contributes to medical safety through the actual implementation and verification of this matching system.

Indexed as

Health Information ExchangeHealth Level SevenDelivery of Health CareElectronic Health RecordsHumansInfusion Pumps

Identifiers

PMID38171359
PMCPMC10764120

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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.