Evidence map›Paper›PMID 35358893›Full record

ArticleInternational journal of medical informatics2022

Coordinated use of Health Level 7 standards to support clinical decision support: Case study with shared decision making and drug-drug interactions.

Henrik Thiess, Guilherme Del Fiol, Daniel C Malone, Ryan Cornia, Max Sibilla, Bryn Rhodes, Richard D Boyce, Kensaku Kawamoto, Thomas Reese

Abstract read
In one paragraph

Article in International journal of medical informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. A scoping review of rule-based clinical decision support malfunctions.Journal of the American Medical Informatics Association : JAMIA · 2024
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  6. Article
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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

9 authors.

Henrik ThiessUniversity of Heidelberg, Germany. Electronic address: thiess.henrik@web.de.
Guilherme Del FiolUniversity of Utah, Department of Biomedical Informatics, United States.
Daniel C MaloneUniversity of Utah, College of Pharmacy, United States.
Ryan CorniaUniversity of Utah, Department of Biomedical Informatics, United States.
Max SibillaUniversity of Pittsburgh, Department of Biomedical Informatics, United States.
Bryn RhodesAlphora, Chief Technology Officer, United States.
Richard D BoyceUniversity of Pittsburgh, Department of Biomedical Informatics, United States.
Kensaku KawamotoUniversity of Utah, Department of Biomedical Informatics, United States.
Thomas ReeseVanderbilt University Medical Center, Department of Biomedical Informatics, Nashville, TN. Electronic address: Thomas.Reese@vumc.org.

Funding

Safety Promotion through Early Event Detection in the Elderly (SPEEDe)R01AG062499 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI WRIGHT, ADAM T · 2019 to 2023
$3.5M
AHRQ HHS U18 HS027099NIA NIH HHS R01 AG062499
6 · The paper itself

Abstract

backgroundDespite advances in interoperability standards, it remains challenging and often costly to share clinical decision support (CDS) across healthcare organizations. This is due in part to limited coordination among CDS components. To improve coordination of CDS components, Health Level 7 (HL7) has developed a suite of interoperability standards with Fast Health Interoperability Resources (FHIR) specification as a common information model. Evidence is needed to determine the feasibility of implementing these CDS components; therefore, the objective of this study was to investigate the coordination of emerging HL7 standards with modular CDS architecture components.

methodsWe used a modular, standards-based architecture consisting of four components: data, logic, services, and applications. The implementation use-case was an application to support shared decision making in the context of drug-drug interactions (DDInteract).

resultsDDInteract uses FHIR as the data representation model, Clinical Quality Language for logic representation, CDS Hooks for the services layer, and Substitutable Medical Apps Reusable Technologies for application integration. DDInteract was first implemented in a sandbox environment and then in an electronic health record (Epic®) test environment. DDInteract can be integrated in clinical workflows through on-demand access from a menu or through CDS Hooks upon opening a patient's record or placing a medication order.

conclusionIn the context of drug interactions, DDInteract is the first application to leverage a full stack of emerging interoperability standards for each component of modular CDS architecture. The demonstrated feasibility of interoperable components can be generalized to other modular CDS applications.

Indexed as

Clinical decision supportDrug-drug interactionsElectronic health recordHL7 FHIRInteroperability

Identifiers

PMID35358893
PMCPMC9703934

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Registered trials

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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.