Evidence map›Paper›PMID 22886546›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2013

Patient-controlled sharing of medical imaging data across unaffiliated healthcare organizations.

Yaorong Ge, David K Ahn, Bhagyashree Unde, H Donald Gage, J Jeffrey Carr

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. What do we know about developing patient portals? a systematic literature review.Journal of the American Medical Informatics Association : JAMIA · 2016
    Pooled it
  2. Article
  3. Article
  4. New EHR certification requirements and their association with duplicate tests and images.Journal of the American Medical Informatics Association : JAMIA · 2022
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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

5 authors.

Yaorong GeDepartment of Biomedical Engineering, Wake Forest School of Medicine, Winston-Salem, NC27157, USA. yge@wakehealth.edu
David K Ahn
Bhagyashree Unde
H Donald Gage
J Jeffrey Carr

Funding

Personally Controlled Sharing of Medical Images in the Rural and Urban SoutheastRC2EB011406 · NIBIB · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI CARR, JOHN JEFFREY, GE, YAORONG · 2009 to 2010
$2.0M
NIBIB NIH HHS 5 RC2 EB011406NIBIB NIH HHS RC2 EB011406
6 · The paper itself

Abstract

backgroundCurrent image sharing is carried out by manual transportation of CDs by patients or organization-coordinated sharing networks. The former places a significant burden on patients and providers. The latter faces challenges to patient privacy.

objectiveTo allow healthcare providers efficient access to medical imaging data acquired at other unaffiliated healthcare facilities while ensuring strong protection of patient privacy and minimizing burden on patients, providers, and the information technology infrastructure.

methodsAn image sharing framework is described that involves patients as an integral part of, and with full control of, the image sharing process. Central to this framework is the Patient Controlled Access-key REgistry (PCARE) which manages the access keys issued by image source facilities. When digitally signed by patients, the access keys are used by any requesting facility to retrieve the associated imaging data from the source facility. A centralized patient portal, called a PCARE patient control portal, allows patients to manage all the access keys in PCARE.

resultsA prototype of the PCARE framework has been developed by extending open-source technology. The results for feasibility, performance, and user assessments are encouraging and demonstrate the benefits of patient-controlled image sharing. DISCUSSION: The PCARE framework is effective in many important clinical cases of image sharing and can be used to integrate organization-coordinated sharing networks. The same framework can also be used to realize a longitudinal virtual electronic health record.

conclusionThe PCARE framework allows prior imaging data to be shared among unaffiliated healthcare facilities while protecting patient privacy with minimal burden on patients, providers, and infrastructure. A prototype has been implemented to demonstrate the feasibility and benefits of this approach.

Indexed as

ConfidentialityDiagnostic ImagingPatient ParticipationRadiology Information SystemsComputer Communication NetworksComputer SecurityFeasibility StudiesHealth Records, PersonalHumansInformation DisseminationInformation Storage and RetrievalNorth CarolinaUnited StatesUser-Computer Interface

Identifiers

PMID22886546
PMCPMC3555338

What OpenQuestion holds

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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.