Evidence map›Paper›PMID 38781289›Full record

SynthesisJournal of the American Medical Informatics Association : JAMIA2024

The role of information systems in emergency department decision-making-a literature review.

Cornelius Born, Romy Schwarz, Timo Phillip Böttcher, Andreas Hein, Helmut Krcmar

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of the American Medical Informatics Association : JAMIA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Personalized Case- and Evidence-Based TBI Prognosis with Small Language Models.... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics · 2025
    Article
  4. Review
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

5 authors.

Cornelius BornSchool of Computation, Information and Technology, Technical University of Munich, 85748 Garching bei München, Germany.ORCID 0000-0002-9395-3091
Romy SchwarzSchool of Computation, Information and Technology, Technical University of Munich, 85748 Garching bei München, Germany.ORCID 0009-0006-9164-5294
Timo Phillip BöttcherSchool of Computation, Information and Technology, Technical University of Munich, 85748 Garching bei München, Germany.ORCID 0000-0002-1290-8310
Andreas HeinInstitute of Information Systems and Digital Business, University of St. Gallen, 9000 St. Gallen, Switzerland.ORCID 0000-0001-9565-5840
Helmut KrcmarSchool of Computation, Information and Technology, Technical University of Munich, 85748 Garching bei München, Germany.ORCID 0000-0002-2754-8493

Funding

Bundesministerium für Bildung und Forschung 16SV9048German Ministry of Education and Research
6 · The paper itself

Abstract

objectivesHealthcare providers employ heuristic and analytical decision-making to navigate the high-stakes environment of the emergency department (ED). Despite the increasing integration of information systems (ISs), research on their efficacy is conflicting. Drawing on related fields, we investigate how timing and mode of delivery influence IS effectiveness. Our objective is to reconcile previous contradictory findings, shedding light on optimal IS design in the ED. MATERIALS AND

methodsWe conducted a systematic review following PRISMA across PubMed, Scopus, and Web of Science. We coded the ISs' timing as heuristic or analytical, their mode of delivery as active for automatic alerts and passive when requiring user-initiated information retrieval, and their effect on process, economic, and clinical outcomes.

resultsOur analysis included 83 studies. During early heuristic decision-making, most active interventions were ineffective, while passive interventions generally improved outcomes. In the analytical phase, the effects were reversed. Passive interventions that facilitate information extraction consistently improved outcomes. DISCUSSION: Our findings suggest that the effectiveness of active interventions negatively correlates with the amount of information received during delivery. During early heuristic decision-making, when information overload is high, physicians are unresponsive to alerts and proactively consult passive resources. In the later analytical phases, physicians show increased receptivity to alerts due to decreased diagnostic uncertainty and information quantity. Interventions that limit information lead to positive outcomes, supporting our interpretation.

conclusionWe synthesize our findings into an integrated model that reveals the underlying reasons for conflicting findings from previous reviews and can guide practitioners in designing ISs in the ED.

Indexed as

Emergency Service, HospitalClinical Decision-MakingDecision Support Systems, ClinicalHeuristicsHospital Information SystemsHumansclinical decision-makingclinical decision support systemscomputer-assisted decision-makingemergency medical servicesinformation overloadinformation systems

Identifiers

PMID38781289
PMCPMC11187435

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.