Evidence map›Paper›PMID 38536423›Full record

ArticleMedizinische Klinik, Intensivmedizin und Notfallmedizin2025

[OPTINOFA-Intelligent assistance service for structured assessment in the emergency department].

Elisabeth Nyoungui, Marina V Karg, Marc Wieckenberg, Katrin Esslinger, Michael Schmucker, Andreas Reiswich, Kai L Antweiler, Tim Friede, Martin Haag, Harald Dormann and 1 more

Open access · hybridAbstract readEnglish Abstract
In one paragraph

Article in Medizinische Klinik, Intensivmedizin und Notfallmedizin, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.8field-weighted citation impact, top 11% of its field
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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
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

11 authors at 4 institutions in 1 country.

Elisabeth NyounguiZentrale Notaufnahme, Universitätsmedizin Göttingen, Robert-Koch-Str. 40, 37075, Göttingen, Deutschland.
Marina V KargZentrale Notaufnahme, Klinikum Fürth, Fürth, Deutschland.
Marc WieckenbergZentrale Notaufnahme, Evangelisches Krankenhaus Göttingen-Weende, Göttingen, Deutschland.
Katrin EsslingerZentrale Notaufnahme, Universitätsmedizin Göttingen, Robert-Koch-Str. 40, 37075, Göttingen, Deutschland.
Michael SchmuckerGECKO Institut, Hochschule Heilbronn, Heilbronn, Deutschland.
Andreas ReiswichGECKO Institut, Hochschule Heilbronn, Heilbronn, Deutschland.
Kai L AntweilerInstitut für Medizinische Statistik, Universitätsmedizin Göttingen, Göttingen, Deutschland.
Tim FriedeInstitut für Medizinische Statistik, Universitätsmedizin Göttingen, Göttingen, Deutschland.
Martin HaagGECKO Institut, Hochschule Heilbronn, Heilbronn, Deutschland.
Harald DormannZentrale Notaufnahme, Klinikum Fürth, Fürth, Deutschland.
Sabine BlaschkeZentrale Notaufnahme, Universitätsmedizin Göttingen, Robert-Koch-Str. 40, 37075, Göttingen, Deutschland. sblasch@gwdg.de.ORCID http://orcid.org/0000-0001-8800-7554
Universitätsmedizin Göttingen · DEHeilbronn University · DEKlinikum Fürth · DEEvangelisches Krankenhaus Göttingen-Weende · DE

Funding

Innovationsfonds 01NVF17035
6 · The paper itself

Abstract

backgroundCase numbers in central emergency departments (EDs) have risen during the past decade in Germany, leading to recurrent overcrowding, increased risks in emergency care, and elevated costs. Particularly the fraction of outpatient emergency treatments has increased disproportionately. Within the framework of the Optimization of emergency care by structured triage with intelligent assistant service (OPTINOFA, Förderkennzeichen [FKZ] 01NVF17035) project, an intelligent assistance service was developed. PATIENTS AND

methodsNew triage algorithms were developed for the 20 most frequent leading symptoms on the basis of established triage systems (emergency severity index, ESI; Manchester triage system, MTS) and provided as web-based intelligent assistance services on mobile devices. To evaluate the validity, reliability, and safety of the new OPTINOFA triage instrument, a pilot study was conducted in three EDs after ethics committee approval.

resultsIn the pilot study, n = 718 ED patients were included (age 59.1 ± 22 years; 349 male, 369 female). With respect to disposition (out-/inpatient), a sensitivity of 91.1% and a specificity of 40.7%, and a good correlation with the OPTINOFA triage levels were detected (Spearman's rank correlation ρ = 0.41). Furthermore, the area under the curve (AUC) for prediction of disposition according to the OPTINOFA triage level was 0.73. The in-hospital mortality rate of OPTINOFA triage levels 4 and 5 was 0%. The association between the length of ED stay and the OPTINOFA triage level was shown to be significant (p < 0.001).

conclusionThe results of the pilot study demonstrate the safety and validity of the new triage system OPTINOFA. By definition of both urgency and emergency care level, new customized perspectives for load reduction in German EDs via a closer cooperation between out- and inpatient sectors of emergency care could be established.

Indexed as

Emergency Service, HospitalTriageAdultAgedAlgorithmsFemaleGermanyHumansMaleMiddle AgedPilot ProjectsAlgorithmDecision support techniquesEmergency medicineOrganizational decision-makingTriage

Identifiers

PMID38536423
PMCPMC11961501
OpenAlexW4393233017

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.