Evidence map›Paper›PMID 25954420›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2014

Designing a clinical dashboard to fill information gaps in the emergency department.

Jordan L Swartz, James J Cimino, Matthew R Fred, Robert A Green, David K Vawdrey

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

5 authors.

Jordan L SwartzDepartment of Biomedical Informatics, Columbia University.
James J CiminoLaboratory for Informatics Development, National Institutes of Health.
Matthew R FredInformation Systems, NewYork-Presbyterian Hospital.
Robert A GreenDepartment of Medicine, Columbia University New York, NY.
David K VawdreyDepartment of Biomedical Informatics, Columbia University ; Information Systems, NewYork-Presbyterian Hospital.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Data fragmentation within electronic health records causes gaps in the information readily available to clinicians. We investigated the information needs of emergency medicine clinicians in order to design an electronic dashboard to fill information gaps in the emergency department. An online survey was distributed to all emergency medicine physicians at a large, urban academic medical center. The survey response rate was 48% (52/109). The clinical information items reported to be most helpful while caring for patients in the emergency department were vital signs, electrocardiogram (ECG) reports, previous discharge summaries, and previous lab results. Brief structured interviews were also conducted with 18 clinicians during their shifts in the emergency department. From the interviews, three themes emerged: 1) difficulty accessing vital signs, 2) difficulty accessing point-of-care tests, and 3) difficulty comparing the current ECG with the previous ECG. An emergency medicine clinical dashboard was developed to address these difficulties.

Indexed as

Attitude of Health PersonnelMedical Staff, HospitalUser-Computer InterfaceAcademic Medical CentersData CollectionElectronic Health RecordsEmergency MedicineEmergency Service, HospitalHospitals, UrbanHumansInterviews as Topic

Identifiers

PMID25954420
PMCPMC4420000

What OpenQuestion holds

Textmetadata
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.