Evidence map›Paper›PMID 40032760›Full record

ArticleJournal of imaging informatics in medicine2025

Utilization of an Electronic Health Record Embedded Enterprise Health Data Exchange: A Single Institute Experience.

Joshua Volin, Vidya Viswanathan, Peter Harri, Colin Segovis, Nabile Safdar, Elias Kikano

Abstract read
In one paragraph

Article in Journal of imaging informatics in medicine, 2025. 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

6 authors.

Joshua VolinDepartment of Radiology and Imaging Sciences, Emory University Hospital, 1364 Clifton Rd NE, Atlanta, GA, 30322, USA. jrvolin@emory.edu.ORCID http://orcid.org/0000-0002-4109-9591
Vidya ViswanathanDepartment of Radiology and Imaging Sciences, Emory University Hospital, 1364 Clifton Rd NE, Atlanta, GA, 30322, USA.
Peter HarriDepartment of Radiology and Imaging Sciences, Emory University Hospital, 1364 Clifton Rd NE, Atlanta, GA, 30322, USA.
Colin SegovisDepartment of Radiology and Imaging Sciences, Emory University Hospital, 1364 Clifton Rd NE, Atlanta, GA, 30322, USA.
Nabile SafdarDepartment of Radiology and Imaging Sciences, Emory University Hospital, 1364 Clifton Rd NE, Atlanta, GA, 30322, USA.
Elias KikanoDepartment of Radiology and Imaging Sciences, Emory University Hospital, 1364 Clifton Rd NE, Atlanta, GA, 30322, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evaluate the demand, volume, and institutional utilization of an EHR-based platform for health data exchange in a single US academic system. A retrospective review (3/2023-4/2024) spanned 11 hospitals and over 500 outpatient sites. Analytic reports from the Epic Care Everywhere Image Exchange Advanced Platform (Verona, WI) captured inbound (requested internally) and outbound (accessed externally) data volumes, including thumbnails and subsequent reference-quality key image retrievals. Data types were categorized as DICOM or non-DICOM (e.g., JPG, PDF). Counts, retrieval rates, and geographic patterns were analyzed. Inbound data involved 1.6 million patients from 370 external organizations, generating 5% for DICOM and 3% for non-DICOM; 77% of inbound thumbnails originated in-state. From 3/2023 to 4/2024, 1.9 million outbound thumbnails were accessed by 1478 external institutions, with a 78% reference-quality key image retrieval rate. Most outbound thumbnails were non-DICOM (66%); however, overall DICOM retrieval rates (5%) were higher than non-DICOM (3%). In-state institutions retrieved the most thumbnails (1,156,896/59%), whereas out-of-state sites requested more reference-quality key images (1,034,614/67%). Top users included various private and public health sectors. Findings show a growing reliance on EHR-embedded health data exchange. The abundance of inbound non-DICOM underscores interoperability challenges, while high DICOM retrieval rates emphasize clinical importance. Geographic disparities highlight the need for standardized solutions to improve continuity of care. Moreover, the upcoming HTI-2 bill mandates stronger data exchange measures, reinforcing the urgency for scalability. Health data exchange is in high demand as patients increasingly seek care across the US.

Indexed as

Electronic Health RecordsHealth Information ExchangeHumansRetrospective StudiesUnited StatesEHR-Based Health Data ExchangeEnterprise Imaging ExchangeInformatics

Identifiers

PMID40032760
PMCPMC12701192

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.