Literature DB >> 20703906

Newborn screening healthcare information system based on service-oriented architecture.

Sung-Huai Hsieh1, Sheau-Ling Hsieh, Yin-Hsiu Chien, Yung-Ching Weng, Kai-Ping Hsu, Chi-Huang Chen, Chien-Ming Tu, Zhenyu Wang, Feipei Lai.   

Abstract

In this paper, we established a newborn screening system under the HL7/Web Services frameworks. We rebuilt the NTUH Newborn Screening Laboratory's original standalone architecture, having various heterogeneous systems operating individually, and restructured it into a Service-Oriented Architecture (SOA), distributed platform for further integrity and enhancements of sample collections, testing, diagnoses, evaluations, treatments or follow-up services, screening database management, as well as collaboration, communication among hospitals; decision supports and improving screening accuracy over the Taiwan neonatal systems are also addressed. In addition, the new system not only integrates the newborn screening procedures among phlebotomy clinics, referral hospitals, as well as the newborn screening center in Taiwan, but also introduces new models of screening procedures for the associated, medical practitioners. Furthermore, it reduces the burden of manual operations, especially the reporting services, those were heavily dependent upon previously. The new system can accelerate the whole procedures effectively and efficiently. It improves the accuracy and the reliability of the screening by ensuring the quality control during the processing as well.

Mesh:

Year:  2009        PMID: 20703906     DOI: 10.1007/s10916-009-9265-x

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  21 in total

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Review 6.  Newborn screening: current status.

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8.  State-to-state variations in newborn screening policies.

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9.  Two-tiered universal newborn screening strategy for severe combined immunodeficiency.

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  4 in total

1.  A scalable healthcare information system based on a service-oriented architecture.

Authors:  Tzu-Hsiang Yang; Yeali S Sun; Feipei Lai
Journal:  J Med Syst       Date:  2009-09-24       Impact factor: 4.460

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3.  Neonatal Screening: Cost-utility Analysis for Galactosemia.

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4.  Using the lives saved tool (LiST) to model mHealth impact on neonatal survival in resource-limited settings.

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  4 in total

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