Evidence map›Paper›PMID 19578465›Full record

ArticleInternational journal of environmental research and public health2009

A service-oriented healthcare message alerting architecture in an Asia medical center: a case study.

Po-Hsun Cheng, Feipei Lai, Jin-Shin Lai

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. An Interoperable System toward Cardiac Risk Stratification from ECG Monitoring.International journal of environmental research and public health · 2018
    Article
  2. Article
  3. An agile enterprise regulation architecture for health information security management.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2010
    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

3 authors.

Po-Hsun ChengDepartment of Software Engineering, National Kaohsiung Normal University, No. 62, Shenjhong Road, Yanchao Township, Kaohsiung County 82444, Taiwan. cph@nknu.edu.tw
Feipei Lai
Jin-Shin Lai

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper illustrates how our development team has used some information technologies to let physicians obtain an instant abnormal laboratory result report for critical patient care services. We have implemented a healthcare message alerting system (HMAS) on a healthcare short message service (HSMS) engine and the distributed healthcare-oriented service environment (DiHOSE) in the National Taiwan University Hospital (NTUH). The HSMS engine has a general interface for all applications which could easily send any kind of alerting messages. Fundamentally, the DiHOSE uses HL7 standard formats to process the information exchange behaviors and can be flexibly extended for reasonable user requirements. The disease surveillance subsystem is an integral part of NTUH new hospital information system which is based on DiHOSE and the disease surveillance subsystem would send alerting messages through the HSMS engine. The latest cell phone message alerting subsystem, a case study, in NTUH proved that the DiHOSE could integrate the user required functions without much work. We concluded that both HSMS and DiHOSE can generalize and extend application demands efficiently.

Indexed as

Clinical Laboratory TechniquesComputer Communication NetworksHospital Information SystemsHospitals, UniversityTaiwanUser-Computer Interfacealertdisease surveillancehealth information systeminformation technologypatient safetyservice-oriented architectureshort message service

Identifiers

PMID19578465
PMCPMC2705222

What OpenQuestion holds

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Registered trials

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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.