Evidence map›Paper›PMID 24551416›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2013

Using a health information exchange system for imaging information: patterns and predictors.

Joshua R Vest, Zachary M Grinspan, Lisa M Kern, Thomas R Campion, Rainu Kaushal, HITEC Investigators

Abstract readEvaluation Study
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

6 authors.

Joshua R VestCenter for Healthcare Informatics & Policy, Weill Cornell Medical College, New York NY; ; Department of Public Health, Weill Cornell Medical College, New York NY;
Zachary M GrinspanCenter for Healthcare Informatics & Policy, Weill Cornell Medical College, New York NY; ; Department of Public Health, Weill Cornell Medical College, New York NY; ; Department of Pediatrics, Weill Cornell Medical College, New York, NY; ; New York Presbyterian Hospital, New York, NY;
Lisa M KernCenter for Healthcare Informatics & Policy, Weill Cornell Medical College, New York NY; ; Department of Public Health, Weill Cornell Medical College, New York NY; ; Department of Medicine, Weill Cornell Medical College, New York, NY.
Thomas R CampionCenter for Healthcare Informatics & Policy, Weill Cornell Medical College, New York NY; ; Department of Public Health, Weill Cornell Medical College, New York NY; ; Department of Medicine, Weill Cornell Medical College, New York, NY.
Rainu KaushalCenter for Healthcare Informatics & Policy, Weill Cornell Medical College, New York NY; ; Department of Public Health, Weill Cornell Medical College, New York NY; ; Department of Pediatrics, Weill Cornell Medical College, New York, NY; ; New York Presbyterian Hospital, New York, NY; ; Department of Medicine, Weill Cornell Medical College, New York, NY.
HITEC Investigators

Funding

WCMC Child Neurology Postdoctoral Training on Developmental NeurosciencesK12NS066274 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI KOSOFSKY, BARRY E · 2010 to 2019
$2.8M
NINDS NIH HHS K12 NS066274
6 · The paper itself

Abstract

Health information exchange (HIE) systems may address the challenges that prevent easy access to patients' existing radiological information at the point of care. However, little is known about the factors associated with usage of HIE for radiology reports, nor about how reports are shared with an exchange network. We analyzed the system log files from a regional health information organization in upstate New York matched with insurance claims files using network analysis and regression modeling. The exchange network was dominated by a few key information sources. Outpatient users overall accessed 17 times more radiology reports than inpatient and ED users combined. Additionally, as the number of exchange partners increased per organization, the average number of reports exchanged by that organization also increased. Radiology reports were most likely to be accessed by physicians and other clinical users. These findings have implications for those operating and fostering exchange activity.

Indexed as

Diagnostic ImagingMedical Record LinkageHealth Information ManagementHealth Information SystemsHumansMedical InformaticsNew YorkRadiology Information SystemsRegional Medical Programs

Identifiers

PMID24551416
PMCPMC3900154

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.