Evidence map›Paper›PMID 28520977›Full record

SynthesisJournal of the American Medical Informatics Association : JAMIA2017

Asynchronous automated electronic laboratory result notifications: a systematic review.

Benjamin H Slovis, Thomas A Nahass, Hojjat Salmasian, Gilad Kuperman, David K Vawdrey

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of the American Medical Informatics Association : JAMIA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Can patients contribute to enhancing the safety and effectiveness of test-result follow-up? Qualitative outcomes from a health consumer workshop.Health expectations : an international journal of public participation in health care and health policy · 2021
    Article
  10. Article
  11. An electronic notification system for improving patient flow in the emergency department.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2019
    Article
  12. 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

5 authors.

Benjamin H SlovisDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.
Thomas A NahassRutgers Robert Wood Johnson Medical School, Piscataway, NJ, USA.
Hojjat SalmasianDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.
Gilad KupermanDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.
David K VawdreyDepartment of Biomedical Informatics, Columbia University, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo systematically review the literature pertaining to asynchronous automated electronic notifications of laboratory results to clinicians.

methodsPubMed, Web of Science, and the Cochrane Collaboration were queried for studies pertaining to automated electronic notifications of laboratory results. A title review was performed on the primary results, with a further abstract review and full review to produce the final set of included articles.

resultsThe full review included 34 articles, representing 19 institutions. Of these, 19 reported implementation and design of systems, 11 reported quasi-experimental studies, 3 reported a randomized controlled trial, and 1 was a meta-analysis. Twenty-seven articles included alerts of critical results, while 5 focused on urgent notifications and 2 on elective notifications. There was considerable variability in clinical setting, system implementation, and results presented.

conclusionSeveral asynchronous automated electronic notification systems for laboratory results have been evaluated, most from >10 years ago. Further research on the effect of notifications on clinicians as well as the use of modern electronic health records and new methods of notification is warranted to determine their effects on workflow and clinical outcomes.

Indexed as

Clinical AlarmsClinical Laboratory TechniquesCommunicationElectronic Health RecordsHumansMedical InformaticsTime Factorsalertsautomatedcriticallaboratorynotifications

Identifiers

PMID28520977
PMCPMC7787253

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.