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Newborn Screening Healthcare Information System Based on Service-Oriented Architecture

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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.

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References

  1. Therrell, B.L., US newborn screening policy dilemmas for the twenty-first century. Mol. Genet. Metab. 74, 64–74 (2001). doi:10.1006/mgme.2001.3238

    Article  Google Scholar 

  2. Ohkubo, S., Shimozawa, K., Matsumoto, M., Kitagawa, T., Analysis of blood spot 17α-hydroxyprogesterone concentration in premature infants -proposal for cut-off limits in screening for congenital adrenal hyperplasia-. Acta. Paediatr. Jpn. 34, 126–133 (1992)

    Google Scholar 

  3. John, A., Age-dependent cutoff values in screening newborns for Hypothyroidism. Clin. Biochem. 37(9), 791–797 (2004)

    Article  Google Scholar 

  4. Lindner, M., et al., Neonatal screen for glutaric aciduria type I: Strategies to proceed. J. Inherit. Metab. Dis. 29, 378–382 (2006). doi:10.1007/s10545-006-0284-1

    Article  Google Scholar 

  5. Weng, Y. –C., Hsieh, S. –L., Hsieh, S. –H., Lai, F., Design and Enhance a Dynamic Healthcare Portal Site. Web Intelligence and Intelligent Agent Technology Workshops, 2007 IEEE/WIC/ACM International Conferences, pp. 173–176, 2007.

  6. Stoddard, J.J., Farrell, P.M., State-to-state variations in newborn screening policies. Arch. Pediatr. Adolesc. Med. 151, 561–564 (1997)

    Google Scholar 

  7. Expanded Newborn Screening using Tandem Mass Spectrometry Financial, Ethical, Legal and Social Issues (FELSI), http://www.newbornscreening.info.

  8. http://www.susps.org/overview/birthrates.html, “U.S. Birth Rates and Population Growth.

  9. http://content.healthaffairs.org/cgi/content/abstract/26/2/559?ck=nck as of 08/09/2008.

  10. http://content.healthaffairs.org, Newborn Screening: Current Status, Pamela H. Arn.

  11. http://www.nlm.nih.gov/, Medical Encyclopedia: Newborn screening tests.

  12. http://www.drgreene.org, Newborn Screening Tests.

  13. Georgia Newborn Screening Manual for Metabolic Diseases and Hemoglobinopathies. Georgia Department of Human Resources: Division of Public Health, 2007.

  14. http://www.slh.wisc.edu/wps/scm/connect/extranet/newborn, Wisconsin Newborn Screening Laboratory.

  15. Wisconsin Newborn Screening Laboratory Newsletter, No. 63, “2006 Testing Summary”, July 2007.

  16. http://www.foxnews.com, “States Doubled Number of Newborns Tested for Genetic Diseases” as of 07/11/2006

  17. http://www.healthsystem.virgina.edu, “Newborn Screening Tests”, University of Virginia Health System, as of 10/23/2007

  18. http://www.kidshealth.org/parent/system/medical/newborn_screening_tests.html as of 27/08/2008

  19. http://www.marchofdimes.com/printable Articles/298_834.asp as of 10/23/2007, Testing the newborn for Metabolic Birth Defects, March of Dimes

  20. Hinman, A.R., Eichwald, J., Linzer, D., Saarlas, K. N., Integrating child health information systems. Am. J. Public Health 95(11), 1923–1927 (2006). doi:10.2105/AJPH.2004.051466

    Article  Google Scholar 

  21. http://las.perkinelmer.com, Wallac LifeCycle for Neonatal Screening–Design Principles–USA

  22. Therrell, B.L., Hannon, W.H., National evaluation of US newborn screening system components. Ment. Retard. Dev. Disabil. Res. Rev. 12, 236–245 (2006). doi:10.1002/mrdd.20124

    Article  Google Scholar 

  23. National Newborn Screening Information System, NNSIS, http://www2.uthscsa.edu/nnsis

  24. NNSGRC, http://genes-r-us.uthscsa.edu/resources/newborn/00/2000report.pdf a) National Newborn Screening and Genetics Resources Center

  25. http://www.chw.edu.au/prof/services/newborn

  26. Padilla, C.D., Therrell, B.L., Newborn screening in the Asia Pacific region. J. Inherit. Metab. Dis. 30, 490–506 (2007). doi:10.1007/s10545-007-0687-7

    Article  Google Scholar 

  27. http://www.chw.edu.au/prof/services/newborn

  28. http://www.health.vic.gov.au/genetics/strategy.htm Genetics Services Strategy for Victoria 2005–2009

  29. Bodamer, O.A., Hoffmann, G.F., Lindner, M., Expanded newborn screening in Europe 2007. J. Inherit. Metab. Dis. 30, 439–444 (2007). doi:10.1007/s10545-007-0666-z

    Article  Google Scholar 

  30. http://www.atlab.com/Neomate.php as of 08/30/2008.

  31. http://www.perkinelmer.com/ as of 08/28/2008.

  32. Liu, N., Marenco, L., Miller, P.L., ResourceLog: An Embeddable Tool for Dynamically Monitoring the Usage of Web-Based Bioscience Resources. J. Am. Med. Inform. Assoc. 2006 13(4), 432–437 (2006). doi:10.1197/jamia.M2013

    Article  Google Scholar 

  33. Sean, A., McGhee, E. Stiehm, R., Cowan, M., Krogstad, P. McCabe, E. R. B., “Two-tiered universal newborn screening strategy for severe combined immunodeficiency”, Nov. 2, 2005; http: www.sciencedirect.com

  34. Webster, D., Quality performance of newborn screening systems: Strategies for improvement. J. Inherit. Meta. Dis. 30, 576–584 (2007)

    Article  MathSciNet  Google Scholar 

  35. Olgemoller, B., et al., Screening for congenital adrenal hyperplasia: adjustment of 17-Hydroxyprogesterone cut-off values to both age and birth weight markedly improves the predictive value. J. Clin. Endocrinol. Metab. 88(12), 5790–5794 (2003). doi:10.1210/jc.2002-021732

    Article  Google Scholar 

  36. Microsoft Developer Network (MSDN), http://msdn.microsoft.com/en-us/library/aa480482.aspx as of 02/09/2008.

  37. Ko, L. F., Lin, J. C., et al., “HL7 middleware framework for healthcare information system”, IEEE Healthcare, pp 152–156, 2006.

  38. Hsieh, S. L., Feipei Lai, S. H., Hsieh et al., “An Integrated Healthcare Enterprise Information Portal and Healthcare Information System Framework”. IEEE EMBC, pp 4731–4734, 2006.

  39. Hsieh, S. H., Hsieh, S. L., Weng, Y. C., et al., “Middleware based Inpatient Healthcare Information System”, Bioinformatics and Bioengineering, BIBE 2007, Proceedings of the 7th IEEE International Conference, pp. 1230–1234, 2007.

  40. Yang, T. H., Cheng, P. H., et al., “A Scalable Multi-tier Architecture for the National Taiwan University Hospital Information System based on HL7 Standard”, CBMS August 2006, Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems, pp. 99–104, 2006.

  41. Pierce, M., Fox, G., Youn, C., Mock, S., Mueller, K., Balsoy, O., Interoperable Web Services for Computational Portals. Proceedings of Supercomputing 2002, Baltimore.

  42. Murray, M., “Strategies for the successful implementation of workflow systems within healthcare: a cross case comparison”, System Sciences, 2003. Proceedings of the 36th Annual Hawaii International Conference, pp. 10, 2003.

  43. Bunge, R., Chung, S., Endicott-Popovsky, B., McLane, D., “An operational framework for service oriented architecture network security”, Hawaii International Conference on System Sciences, Proceedings of the 41st Annual, pp. 312–312, 2008.

  44. Lewis, G. A., Morris, E., Simanta, S., et al., “Common Misconceptions about Service-Oriented Architecture”, Commercial-off-the-Shelf (COTS)-Based Software Systems, ICCBSS ‘07, Sixth International IEEE Conference, pp. 123–130, 2007

  45. Millington, D. S., Tandem Mass Spectrometry in Clinical Diagnosis.

  46. Pinheiro, M., Oliveira, J. L., Santos, M. A. S., Rocha, H., Cardoso, M. L., Vilarinho, L., “NeoScreen: A software application for MS/MS newborn screening analysis”, in Biological and Medical Data Analysis (ISBMDA'2004), Lecture Notes in Computer Science - Volume 3337, Barcelona, Spain, 2004.

  47. Pinheiro, M., Oliveira, J.L., Santos, M.A.S., Rocha, H., Cardoso, M.L., Vilarinho, L., A computer-based solution for screening of inherited metabolic diseases. J. Inherit. Metab. Dis 27(1), 4 (2004). abstract

    Google Scholar 

  48. Michael, J., Maranda, PhD, Brian Gugerty, DNS, MS, RN. “CISIES: An Informatics Measurement Instrument”. http://cisevaluation.com/

  49. Hurley, A.C., Lancaster, D., Hayes, J., Wilson-Chase, C., Bane, A., Griffin, M., Warden, V., Duffy, M.E., Poon, E.G., Gandhi, T.K., The medication administration system—nurses assessment of satisfaction (MAS—NAS) scale. J. Nurs. Scholarsh. 38, 298–300 (2006). doi:10.1111/j.1547-5069.2006.00117.x

    Article  Google Scholar 

  50. Staggers, N., Kobus, D., Brown, C., Nurses’ Evaluations of a Novel Design for an Electronic Medication Administration Record. Comput. Inform. Nurs. 25, 67–75 (2007). doi:10.1097/01.NCN.0000263981.38801.be

    Article  Google Scholar 

  51. www.google.com/health as of 08/30/2008

  52. Knights, M., “Web 2.0”, Communications Engineer, 5(1), 30–35, 2007.

  53. Schroth, C., Janner, T., “Web 2.0 and SOA: Converging concepts enabling the internet of services”. IT Professional 9(3), 36–41 (2007)

    Article  Google Scholar 

  54. Ping, X.-O., Ko, L.-F., Shang, R.-J., Lai, F., et al., “Dynamic messages creation method for HL7 based healthcare information system”, 9th International Conference on e-Health Networking, Application and Services, June 2007, pp. 150–155.

  55. Hsieh, S.-H., Hsieh, S.-L., et al., “Web services based newborn screening system with support vector machines”, ICITA 2008, June, 2008.

  56. Tu, C. -M., Chang, H. -Y., Tang, M. -Y., Lai, F., et al., “The design and implementation of a next generation information system for newborn Screening”, HEALTHCOM 2007, June, 2007.

  57. Tu, C.-M., The new generation of information system for newborn screening—A case study of National Taiwan University Hospital. Dept. of Computer Science and Information Engineering, National Taiwan University, Taiwan, Master Thesis, June (2007)

    Google Scholar 

  58. Chace, D.H., Kalas, T.A., Naylor, E.W., Use of tandem mass spectrometry for multianalyte screening of dried blood specimens from newborns. Clin. Chem. 49, 1797–1817 (2003). doi:10.1373/clinchem.2003.022178

    Article  Google Scholar 

  59. Expanded Newborn Screening using Tandem Mass Spectrometry Financial, Ethical, Legal and Social Issues (FELSI), http://www.newbornscreening.info.

  60. Michie, D., Spiegelhalter, D. J., Taylor, C. C., Campbell, J., “Machine learning, neural and statistical classification”, 1995.

  61. Cortes, C., Vapnik, V., Support-vector network, 1995.

  62. Ward, J.J., McGuffin, L.J., Buxton, B.F., Jones, D.T., Secondary structure prediction with support vector machine. Bioinformatics 19, 1650–1655 (2003). doi:10.1093/bioinformatics/btg223

    Article  Google Scholar 

  63. Chen, P. H., Fan, R. E., Lin, C. J., “A Study on SMO-type Decomposition Methods for Support Vector Machines,” January 2005.

  64. Papazoglou, M.P., van den Heuvel, W.-J., Service-oriented architectures: approaches, technologies and research issues. VLDB J 16(3), 389–415 (2007). doi:10.1007/s00778-007-0044-3

    Article  Google Scholar 

  65. Mike, P., Papazoglou, “Service -Oriented Computing: Concepts, Characteristics and Directions”, Proceedings of the Fourth International Conference on Web Information Systems Engineering, p. 3, December 10–12, 2003.

  66. Krafzig, D., Banke, K., Slama, D., Enterprise SOA: Service Oriented Architecture Best Practices. Prentice-Hall, Englewood Cliffs (2005)

    Google Scholar 

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Acknowledgment

The authors would like to acknowledge members of the Pediatrics and Medical Genetics Office, the Information Systems Office at NTUH for their kindly assistance.

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Correspondence to Sung-Huai Hsieh.

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Hsieh, SH., Hsieh, SL., Chien, YH. et al. Newborn Screening Healthcare Information System Based on Service-Oriented Architecture. J Med Syst 34, 519–530 (2010). https://doi.org/10.1007/s10916-009-9265-x

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