Evidence map›Paper›PMID 36036367›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2022

Development and implementation of a clinical decision support system tool for the evaluation of suspected monkeypox infection.

John S Albin, Jacob E Lazarus, Kristen M Hysell, David M Rubins, Lindsay Germaine, Caitlin M Dugdale, Howard M Heller, Elizabeth L Hohmann, Joshua J Baugh, Erica S Shenoy

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. 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

10 authors at 3 institutions in 1 country.

John S AlbinDivision of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Jacob E LazarusDivision of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.ORCID 0000-0001-9286-3548
Kristen M HysellDivision of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
David M RubinsHarvard Medical School, Boston, Massachusetts, USA.
Lindsay GermaineDigital eCare, Mass General Brigham, Boston, Massachusetts, USA.
Caitlin M DugdaleDivision of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.ORCID 0000-0002-6604-6111
Howard M HellerDivision of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Elizabeth L HohmannDivision of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Joshua J BaughHarvard Medical School, Boston, Massachusetts, USA.
Erica S ShenoyDivision of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.ORCID 0000-0001-8086-1123
Harvard University · USBrigham and Women's Hospital · USMass General Brigham · US

Funding

US Assistant Secretary for Preparedness and Response 6 U3REP150548-05-08
6 · The paper itself

Abstract

Monkeypox virus was historically rare outside of West and Central Africa until the current 2022 global outbreak, which has required clinicians to be alert to identify individuals with possible monkeypox, institute isolation, and take appropriate next steps in evaluation and management. Clinical decision support systems (CDSS), which have been shown to improve adherence to clinical guidelines, can support frontline clinicians in applying the most current evaluation and management guidance in the setting of an emerging infectious disease outbreak when those guidelines are evolving over time. Here, we describe the rapid development and implementation of a CDSS tool embedded in the electronic health record to guide frontline clinicians in the diagnostic evaluation of monkeypox infection and triage patients with potential monkeypox infection to individualized infectious disease physician review. We also present data on the initial performance of this tool in a large integrated healthcare system.

Indexed as

Decision Support Systems, ClinicalMpox, MonkeypoxPhysiciansDisease OutbreaksElectronic Health RecordsHumansCDSSclinical decision support systemsHCIDhigh-consequence infectious diseasemonkeypoxperson under investigationPUI

Identifiers

PMID36036367
PMCPMC9667162
OpenAlexW4293761823

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.