Evidence map›Paper›PMID 37351012›Full record

ArticleJAMIA open2023

Playing in the clinical decision support sandbox: tools and training for all.

Andrey Soares, Majid Afshar, Chris Moesel, Michael A Grasso, Eric Pan, Anthony Solomonides, Joshua E Richardson, Eleanor Barone, Edwin A Lomotan, Lisa M Schilling

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JAMIA open, 2023. 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
–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

1 citing paper in PubMed.

  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

10 authors.

Andrey SoaresDivision of General Internal Medicine, Department of Medicine, and the Data Science to Patient Value Initiative, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.ORCID https://orcid.org/0000-0003-4319-9411
Majid AfsharDepartment of Medicine, School of Medicine and Public Health, University of Wisconsin Madison, Madison, Wisconsin, USA.
Chris MoeselOpen Health Solutions Department, The MITRE Corporation, Bedford, Massachusetts, USA.
Michael A GrassoUniversity of Maryland School of Medicine, Baltimore, Maryland, USA.
Eric PanWestat Inc, Center for Healthcare Delivery Research and Evaluation, Rockville, Maryland, USA.
Anthony SolomonidesOutcomes Research Network, Research Institute, NorthShore University HealthSystem, Evanston, Illinois, USA.
Joshua E RichardsonCenter for Health Informatics and Evidence Synthesis, RTI International, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0003-3066-2673
Eleanor BaroneOffice of Health Informatics/Clinical Informatics and Data Management Organization, Veteran's Affairs, Fayetteville, North Carolina, USA.
Edwin A LomotanCenter for Evidence and Practice Improvement, Agency for Healthcare Research and Quality, Rockville, Maryland, USA.
Lisa M SchillingDivision of General Internal Medicine, Department of Medicine, and the Data Science to Patient Value Initiative, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.

Funding

Data Driven Strategies for Substance Misuse Identification in Hospitalized PatientsR01DA051464 · NIDA · UNIVERSITY OF WISCONSIN-MADISON · PI Majid Afshar · 2020 to 2026
$4.5M
NIDA NIH HHS R01 DA051464
6 · The paper itself

Abstract

Objectives: Introduce the CDS-Sandbox, a cloud-based virtual machine created to facilitate Clinical Decision Support (CDS) developers and implementers in the use of FHIR- and CQL-based open-source tools and technologies for building and testing CDS artifacts. Materials and Methods: The CDS-Sandbox includes components that enable workflows for authoring and testing CDS artifacts. Two workshops at the 2020 and 2021 AMIA Annual Symposia were conducted to demonstrate the use of the open-source CDS tools. Results: The CDS-Sandbox successfully integrated the use of open-source CDS tools. Both workshops were well attended. Participants demonstrated use and understanding of the workshop materials and provided positive feedback after the workshops. Discussion: The CDS-Sandbox and publicly available tutorial materials facilitated an understanding of the leading-edge open-source CDS infrastructure components. Conclusion: The CDS-Sandbox supports integrated use of the key CDS open-source tools that may be used to introduce CDS concepts and practice to the clinical informatics community.

Indexed as

CDS Hooksclinical decision supportCQLFHIR

Identifiers

PMID37351012
PMCPMC10283349

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.