Evidence map›Paper›PMID 24734123›Full record

ArticleApplied clinical informatics2014

Burden on university hospitals of handling portable data for imaging (PDI) media.

H Hagiwara, A Nemoto, T Inoue

Abstract read
In one paragraph

Article in Applied clinical informatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

3 authors.

H HagiwaraDepartment of Radiology, Yokohama City University Hospital , Yokohama, Japan.
A NemotoDepartment of Medical Informatics, Yokohama City University Hospital , Yokohama, Japan.
T InoueDepartment of Radiology, Graduate School of Medicine, Yokohama City University , Yokohama, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPortable Data for Imaging (PDI) is regularly used as a guideline for sharing medical imaging data between hospitals and other medical institutions. When a patient is referred to another location, the patient almost always brings PDI media on a CD or DVD. However, problems often occur when trying to view images on PDI discs inserted into computer terminals, and it is more efficient to view images on the hospitals' own picture archiving and communication system (PACS). On the request of doctors, it has become a routine practice to import PDI data to the PACS of the referred hospital.

objectiveThe aim of this study was to analyze the increase in PDI image importing and investigate methods for reducing the burden caused by importing images.

methodsWe compiled representative data on image importing over time and analyzed the test modalities, number of images, volume of data, and referring hospital or medical clinic from which the data originated.

resultsThe amount of PDI images imported to the PACS has risen despite no large increase in the number of patients. Currently, images imported from PDI media make up 22.8% of the total number of images stored in the PACS. The images come from a diverse array of hospitals (184 hospitals) and 82% are essential for medical care. The total annual expenditure associated with PDI data management is estimated to be 98,300 USD.

conclusionThe spreading use of the PDI guideline has led to a dramatic increase in data image sharing in the field of healthcare. While this has great benefits for patients and doctors, it is also associated with a greater cost and an overall burden for hospitals. These results indicate the need for a system to enable many hospitals and clinics to participate in image sharing at a cheaper cost.

Indexed as

Database Management SystemsData CurationDiagnostic ImagingGeographyHealth Care CostsHospitals, UniversityHumansJapanReferral and ConsultationTime Factorscross-enterprise document sharing-imagingPACSPDIPortable data for imagingXDS-I

Identifiers

PMID24734123
PMCPMC3974247

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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.