Evidence map›Paper›PMID 39399000›Full record

ArticlemedRxiv : the preprint server for health sciences2024

Reusable Generic Clinical Decision Support System Module for Immunization Recommendations in Resource-Constraint Settings.

Samuil Orlioglu, Akash Shanmugan Boobalan, Kojo Abanyie, Richard D Boyce, Hua Min, Yang Gong, Dean F Sittig, Paul Biondich, Adam Wright, Christian Nøhr and 7 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Samuil OrliogluClemson University, Clemson, SC, USA.
Akash Shanmugan BoobalanClemson University, Clemson, SC, USA.
Kojo AbanyieUniversity of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0003-1552-0327
Richard D BoyceUniversity of Pittsburgh, Pittsburgh, PA, USA.ORCID 0000-0002-2993-2085
Hua MinGeorge Mason University, Fairfax, VA, USA.ORCID 0000-0003-2422-0043
Yang GongUniversity of Texas Health Sciences Center at Houston, Houston, TX, USA.ORCID 0000-0002-0864-8368
Dean F SittigUniversity of Texas Health Sciences Center at Houston, Houston, TX, USA.ORCID 0000-0001-5811-8915
Paul BiondichIndiana University, Indianapolis, IN, USA.
Adam WrightVanderbilt University, Nashville, TN, USA.ORCID 0000-0001-6844-145X
Christian NøhrAalborg University, Aalborg, Denmark.ORCID 0000-0003-1299-7365
Timothy LawOhio University, Athens, OH, USA.ORCID 0000-0002-3899-072X
David RobinsonIndependent Consultant, Cumbria, UK.ORCID 0000-0002-2044-0754
Arild FaxvaagNorwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0002-6510-7306
Nina HubigClemson University, Clemson, SC, USA.ORCID 0000-0002-8911-7832
Ronald GimbelClemson University, Clemson, SC, USA.ORCID 0000-0001-8185-4013
Lior RennertClemson University, Clemson, SC, USA.ORCID 0000-0001-5275-7273
Xia JingClemson University, Clemson, SC, USA.ORCID 0000-0002-1916-4588

Funding

Tissue Structural and Neural Remodeling in Human Sacroiliac JointP20GM121342 · NIGMS · CLEMSON UNIVERSITY · PI Hai Yao · 2018 to 2026
$24.7M
The internship in Biomedical Research, Informatics, and Computer Science (iBRIC): Biomedical Informatics and Data Science research experiences for students from Minority Serving InstitutionsT15LM007059 · NLM · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HARRY S HOCHHEISER · 1987 to 2026
$23.9M
Open, interoperable, and configurable clinical decision support modules for OpenMRS, OpenEMR, and beyondR01GM138589 · NIGMS · CLEMSON UNIVERSITY · PI JING, XIA · 2020 to 2024
$1.9M
SC Biomedical Informatics & Data Science for Health Impact (SC BIDS4Health)T15LM013977 · NLM · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI Alexander V Alekseyenko, Brian Dean · 2022 to 2026
$1.2M
NIGMS NIH HHS P20 GM121342NIGMS NIH HHS R01 GM138589NLM NIH HHS T15 LM007059NLM NIH HHS T15 LM013977
6 · The paper itself

Abstract

Clinical decision support systems (CDSS) are routinely employed in clinical settings to improve quality of care, ensure patient safety, and deliver consistent medical care. However, rule-based CDSS, currently available, do not feature reusable rules. In this study, we present CDSS with reusable rules. Our solution includes a common CDSS module, electronic medical record (EMR) specific adapters, CDSS rules written in the clinical quality language (CQL) (derived from CDC immunization recommendations), and patient records in fast healthcare interoperability resources (FHIR) format. The proposed CDSS is entirely browser-based and reachable within the user's EMR interface at the client-side. This helps to avoid the transmission of patient data and privacy breaches. Additionally, we propose to provide means of managing and maintaining CDSS rules to allow the end users to modify them independently. Successful implementation and deployment were achieved in OpenMRS and OpenEMR during initial testing.

Indexed as

Clinical Decision Support SystemClinical Quality LanguageData SharingFast Healthcare Interoperability ResourcesInteroperabilityStandards

Identifiers

PMID39399000
PMCPMC11469393

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.