Evidence map›Paper›PMID 29989095›Full record

ArticleInternational journal of biological sciences2018

MicroShare: Privacy-Preserved Medical Resource Sharing through MicroService Architecture.

Yilong Yang, Quan Zu, Peng Liu, Defang Ouyang, Xiaoshan Li

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.5field-weighted citation impact, top 8% of its field
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

7 citing papers in PubMed, 32 citations in OpenAlex.

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  7. Special issue on Computational Resources and Methods in Biological Sciences.International journal of biological sciences · 2018
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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 at 1 institution in 1 country.

Yilong YangState Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences (ICMS), University of Macau, Macau, China.
Quan ZuDepartment of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau, China.
Peng LiuDepartment of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau, China.
Defang OuyangState Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences (ICMS), University of Macau, Macau, China.
Xiaoshan LiDepartment of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau, China.
University of Macau · MO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper takes up the problem of medical resource sharing through MicroService architecture without compromising patient privacy. To achieve this goal, we suggest refactoring the legacy EHR systems into autonomous MicroServices communicating by the unified techniques such as RESTFul web service. This lets us handle clinical data queries directly and far more efficiently for both internal and external queries. The novelty of the proposed approach lies in avoiding the data

Indexed as

SoftwareHumansPrivacyEHREHR sharingMicroServiceprivacy-preserved

Identifiers

PMID29989095
PMCPMC6036760
OpenAlexW2807291012

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.