Evidence map›Paper›PMID 42888312›Full record

ArticleJournal of imaging informatics in medicine2026

An Accountable Encounter-Based Imaging Workflow for Point-of-Care Ultrasound: Integrating Image Availability, Clinician Attribution, and Documentation Accountability.

Matthew Riscinti, Nhu-Nguyen Le, Fred Milgrim, Jessica Rast, Allan Bottemiller, Jon Baird, Victor Johnson, Hee Yoon, Amanda Toney, Stephen Wolf

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of imaging informatics in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Matthew RiscintiDepartment of Emergency Medicine, Denver Health Medical Center, 777 Bannock Street, Denver, CO, 80204, USA. matthew.riscinti@dhha.org.ORCID http://orcid.org/0000-0001-9859-3577
Nhu-Nguyen LeDepartment of Emergency Medicine, Denver Health Medical Center, 777 Bannock Street, Denver, CO, 80204, USA.
Fred MilgrimDepartment of Emergency Medicine, Denver Health Medical Center, 777 Bannock Street, Denver, CO, 80204, USA.
Jessica RastDepartment of Emergency Medicine, Denver Health Medical Center, 777 Bannock Street, Denver, CO, 80204, USA.
Allan BottemillerDepartment of Emergency Medicine, Denver Health Medical Center, 777 Bannock Street, Denver, CO, 80204, USA.
Jon BairdDepartment of Information Technology, Denver Health Medical Center, Denver, CO, USA.
Victor JohnsonDepartment of Information Technology, Denver Health Medical Center, Denver, CO, USA.
Hee YoonDepartment of Emergency Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Amanda ToneyDepartment of Emergency Medicine, Denver Health Medical Center, 777 Bannock Street, Denver, CO, 80204, USA.
Stephen WolfDepartment of Emergency Medicine, Denver Health Medical Center, 777 Bannock Street, Denver, CO, 80204, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Point-of-care ultrasound (POCUS) is integral to emergency department (ED) care, but traditional order-based imaging workflows (OBIWs) are poorly aligned with unscheduled encounters and dynamic bedside imaging needs. We describe an accountable encounter-based imaging workflow (EBIW) that integrates patient identification, clinician attribution, encounter-linked image routing, and documentation accountability into a unified imaging informatics architecture. We performed a retrospective observational analysis of aggregated ED POCUS charge data from January 2018 through December 2025 at a single urban academic ED. Three sequential workflows were evaluated: a legacy electronic health record (EHR)-based OBIW, a POCUS Manager-based OBIW, and an accountable EBIW. The accountable EBIW links ultrasound images directly to the ED encounter using barcode-based patient and clinician identification and a centralized Digital Imaging and Communications in Medicine (DICOM) router that generates an image availability message. This enables immediate image access in the picture archiving and communication system, EHR, and POCUS management platform before report completion. Charges were not used as a measure of reimbursement or financial return. Because a charge could only be generated after image archival, encounter linkage, documentation, and clinician attestation, charge capture served as a longitudinal system-level marker of completed workflow execution. Charges were normalized by ED visit volume and analyzed using interrupted time series analysis. Transition from the EHR-based OBIW to the POCUS Manager-based OBIW was not associated with an immediate increase in charges. Implementation of the accountable EBIW was associated with an immediate level increase of $11,746 per 1000 visits and a sustained positive quarterly slope thereafter. An accountable EBIW integrating encounter-level acquisition, DICOM routing, immediate image availability, clinician attribution, and documentation accountability was associated with improved capture of ED POCUS utilization.

Indexed as

Documentation workflowEncounter-based imaging workflowEnterprise imagingImage availabilityImaging informaticsPoint-of-care ultrasound

Identifiers

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.