Dependability enhancing mechanisms for integrated clinical environments.

Wenbing Zhao, Mary Q Yang

Abstract read

In one paragraph

Article in The Journal of supercomputing, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Wenbing ZhaoDepartment of Electrical Engineering and Computer Science, Cleveland State University, Cleveland, OH 44115, USA.

Mary Q YangDepartment of Information Science, George Washington Donaghey College of Engineering and Information Technology, Little Rock, AR, USA.

Funding

Understanding Hesitant AdoptersP20GM103429 · NIGMS · UNIV OF ARKANSAS FOR MED SCIS · PI Lawrence E Cornett, JERRY WARE · 2012 to 2026

$60.9M

Developing integrative approaches for identifying disease-causing genes and dysfunctional networksR15GM114739 · NIGMS · UNIVERSITY OF ARKANSAS AT LITTLE ROCK · PI YANG, MARY · 2015 to 2015

$374k

FDA HHS HHSF223201510172CNIGMS NIH HHS P20 GM103429NIGMS NIH HHS R15 GM114739

6 · The paper itself

Abstract

In this article, we present a set of lightweight mechanisms to enhance the dependability of a safety-critical real-time distributed system referred to as an integrated clinical environment (ICE). In an ICE, medical devices are interconnected and work together with the help of a supervisory computer system to enhance patient safety during clinical operations. Inevitably, there are strong dependability requirements on the ICE. We introduce a set of mechanisms that essentially make the supervisor component a trusted computing base, which can withstand common hardware failures and malicious attacks. The mechanisms rely on the replication of the supervisor component and employ only one input-exchange phase into the critical path of the operation of the ICE. Our analysis shows that the runtime latency overhead is much lower than that of traditional approaches.

Indexed as

Byzantine agreementContinuous availabilityCyber securityIntegrated clinical environmentsService integrityState machine replication

Identifiers

PMID29081597

DOI10.1007/s11227-017-2003-0

PMCPMC5657604

What OpenQuestion holds

Textmetadata

LicenceCC BY

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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.