Evidence map›Paper›PMID 36385677›Full record

ArticleJournal of digital imaging2023

Development and Implementation of a Semi-Automated Workflow for Point-of-Care Ultrasound Billing and Documentation Within an Electronic Health Record.

Akhil Dhamija, Laurie A Perry, Timothy J OConnor, Lisa Ulland, Evan Slavik, Alexander J Towbin

Abstract read
In one paragraph

Article in Journal of digital imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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

6 authors.

Akhil DhamijaDepartment of Radiology, Cincinnati Children's Hospital, Cincinnati, OH, USA.
Laurie A PerryDepartment of Radiology, Cincinnati Children's Hospital, Cincinnati, OH, USA.
Timothy J OConnorDepartment of Radiology, Cincinnati Children's Hospital, Cincinnati, OH, USA.
Lisa UllandDepartment of Radiology, Cincinnati Children's Hospital, Cincinnati, OH, USA.
Evan SlavikDepartment of Radiology, Cincinnati Children's Hospital, Cincinnati, OH, USA.
Alexander J TowbinDepartment of Radiology, Cincinnati Children's Hospital, Cincinnati, OH, USA. alexander.towbin@cchmc.org.ORCID 0000-0003-1729-5071

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Point-of-care ultrasound (POCUS) is widely used for both diagnostic and therapeutic purposes. With its many advantages, including ease of use, real-time multisystem assessment, affordability, availability, and accuracy, it has been adopted by all medical specialties. Despite its advantages, the lack of standard workflow and automated billing solutions makes it difficult to launch a comprehensive POCUS program. In this work, we describe how we created and implemented an efficient standardized EHR-based workflow for POCUS that has been used across multiple division and settings within our organization.

Indexed as

Electronic Health RecordsPoint-of-Care SystemsDocumentationHumansUltrasonographyWorkflowBillingEnterprise imagingInteroperabilityPOCUS

Identifiers

PMID36385677
PMCPMC10039213

What Socratic 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 Socratic graph.