Evidence map›Paper›PMID 39814047›Full record

ArticleApplied clinical informatics2025

Hospital Health Information Exchange Network Density and Predictors Across U.S. Hospital Referral Regions.

Sunny C Lin, Karen Joynt Maddox, Daphne Lew, Julia Adler-Milstein, Thomas Kannampallil

Abstract read
In one paragraph

Article in Applied clinical informatics, 2025. 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

5 authors.

Sunny C LinDepartment of Medicine, Washington University School of Medicine in St. Louis, Saint Louis, Missouri, United States.
Karen Joynt MaddoxDepartment of Medicine, Washington University School of Medicine in St. Louis, Saint Louis, Missouri, United States.
Daphne LewInstitute for Informatics, Data Science and Biostatistics (I2DB), Washington University School of Medicine in St. Louis, Saint Louis, Missouri, United States.
Julia Adler-MilsteinDepartment of Medicine, University of California, San Francisco, California, United States.
Thomas KannampallilInstitute for Informatics, Data Science and Biostatistics (I2DB), Washington University School of Medicine in St. Louis, Saint Louis, Missouri, United States.

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Cardiovascular Health of Low-Income Working-Age Adults in the US: Health Care Access, Policy, and the PandemicR01HL164561 · NHLBI · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Rishi Kumar Wadhera · 2022 to 2026
$3.7M
The Impact of Bundled Payments for Cardiopulmonary Disease on High-Risk PopulationsR01HL143421 · NHLBI · WASHINGTON UNIVERSITY · PI JOYNT MADDOX, KAREN ELLEN · 2019 to 2022
$3.1M
Health Information Exchange to Improve Outcomes in Complex Older PatientsR01AG062563 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ADLER-MILSTEIN, JULIA ROSE · 2019 to 2023
$2.1M
Rural-Urban Disparities In Spillover Effects of COVID-19U01NR020555 · NINR · WASHINGTON UNIVERSITY · PI JOYNT MADDOX, KAREN ELLEN · 2022 to 2024
$1.5M
Observation Stays and Readmissions for Older Adults: Implications for Medicare PoliciesR01AG063759 · NIA · UNIVERSITY OF WASHINGTON · PI SABBATINI, AMBER KATHLEEN · 2020 to 2023
$1.4M
The Effect of Patient Dementia on Outpatient Clinicians' Performance on Cost Outcomes Under Medicare Value-Based Payment.R21AG065526 · NIA · WASHINGTON UNIVERSITY · PI JOHNSTON, KENTON JAMES · 2020 to 2021
$308k
Racial Equity in Health Information Exchange and Emergency Care Quality for Adults with Alzheimer's Disease and Related DementiaK01AG086666 · NIA · WASHINGTON UNIVERSITY · PI LIN, SUNNY C · 2024 to 2024
$128k
NCATS NIH HHS UL1 TR002345NHLBI NIH HHS R01 HL143421NHLBI NIH HHS R01 HL164561NIA NIH HHS K01 AG086666NIA NIH HHS K01AG086666NIA NIH HHS R01 AG062563NIA NIH HHS R01 AG063759NIA NIH HHS R21 AG065526NINR NIH HHS U01 NR020555
6 · The paper itself

Abstract

objectivesThis study aimed to develop a measure of health information exchange (HIE) for characterizing the density of inter-hospital HIE connections and identify regional characteristics associated with HIE network density.

methodsHIE network density was measured as the proportion of hospital pairs within a region that are connected through HIE. The 2022 American Hospital Association's Information Technology Supplement survey was used to calculate HIE network density for US hospital referral regions (HRRs). Bivariate tests and multivariable regression were used to characterize hospital, electronic health record (EHR) vendor, and resident characteristics associated with HIE network density.

resultsData on 2,509 hospitals across 274 HRRs were included in the study, with 92% of hospitals participating in at least one HIE. On average, hospitals participated in two HIEs and there were seven HIEs present in each region. HIE network density ranged from 0.0 to 1.0, with a median of 0.78 and an interquartile range (IQR) of 0.51-1.00. Hospital and vendor characteristics associated with greater HIE network density include: more HIEs per hospital, a higher proportion of non-profit hospitals, greater Epic market share, and more concentrated hospital and EHR vendor markets. Resident characteristics associated with greater HIE network density include: higher home values, more educated residents, and higher median household incomes.

conclusionWe found that, on average, 7 out of 10 hospital pairs within a given HRR are connected via at least one HIE, with lower HIE network density in regions with lower socioeconomic status. This measure can be used to track the impact of the Trusted Exchange Framework and Common Agreement on area-level interoperability.

Indexed as

Health Information ExchangeHospitalsReferral and ConsultationElectronic Health RecordsHumansUnited States

Identifiers

PMID39814047
PMCPMC12094861

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.