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Web-based Multi-center Data Management System for Clinical Neuroscience Research

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Abstract

Modern clinical research often involves multi-center studies, large and heterogeneous data flux, and intensive demands of collaboration, security and quality assurance. In the absence of commercial or academic management systems, we designed an open-source system to meet these requirements. Based on the Apache-PHP-MySQL platform on a Linux server, the system allows multiple users to access the database from any location on the internet using a web browser, and requires no specialized computer skills. Multi-level security system is implemented to safeguard the protected health information and allow partial or full access to the data by individual or class privilege. The system stores and manipulates various types of data including images, scanned documents, laboratory data and clinical ratings. Built-in functionality allows for various search, quality control, analytic data operations, visit scheduling and visit reminders. This approach offers a solution to a growing need for management of large multi-center clinical studies.

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References

  1. Johnson, R. T., and Gibbs, C. J. Jr., Creutzfeldt–Jakob disease and related transmissible spongiform encephalopathies. N. Engl. J. Med. 339:1994–2004, 1998. doi:10.1056/NEJM199812313392707.

    Article  Google Scholar 

  2. Hasson, U., Skipper, J. I., Wilde, M. J., Nusbaum, H. C., and Small, S. L., Improving the analysis, storage and sharing of neuroimaging data using relational databases and distributed computing. Neuroimage. 39:693–706, 2008. doi:10.1016/j.neuroimage.2007.09.021.

    Article  Google Scholar 

  3. Kelly, K. J., Walsh-Kelly, C. M., Christenson, P., Rogalinski, S., Gorelick, M. H., Barthell, E. N. et al, Emergency Department Allies: A web-based multihospital pediatric asthma tracking system. Pediatrics. 117:S63–S70, 2006. doi:10.1542/peds.2005-0794.

    Article  Google Scholar 

  4. Laule, O., Hirsch-Hoffmann, M., Hruz, T., Gruissem, W., and Zimmermann, P., Web-based analysis of the mouse transcriptome using Genevestigator. BMC Bioinformatics. 7:311, 2006. doi:10.1186/1471-2105-7-311.

    Article  Google Scholar 

  5. Minati, L., Ghielmetti, F., Ciobanu, V., D'Incerti, L., Maccagnano, C., Bizzi, A. et al, Bio-image warehouse system: Concept and implementation of a diagnosis-based data warehouse for advanced imaging modalities in neuroradiology. J. Digit. Imaging. 20:32–41, 2007. doi:10.1007/s10278-006-0859-2.

    Article  Google Scholar 

  6. Thriskos, P., Zintzaras, E., and Germenis, A., DHLAS: A web-based information system for statistical genetic analysis of HLA population data. Comput. Methods Programs Biomed. 85:267–272, 2007. doi:10.1016/j.cmpb.2006.11.005.

    Article  Google Scholar 

  7. Zuberbuhler, B., Galloway, P., Reddy, A., Saldana, M., and Gale, R., A web-based information system for management and analysis of patient data after refractive eye surgery. Comput. Methods Programs Biomed. 88:210–216, 2007. doi:10.1016/j.cmpb.2007.09.003.

    Article  Google Scholar 

  8. Knop, C., Reinhold, M., Roeder, C., Staub, L., Schmid, R., Beisse, R. et al, Internet based multicenter study for thoracolumbar injuries: A new concept and preliminary results. Eur. Spine J. 15:1687–1694, 2006. doi:10.1007/s00586-006-0135-7.

    Article  Google Scholar 

  9. Van Horn, J. D., Grethe, J. S., Kostelec, P., Woodward, J. B., Aslam, J. A., Rus, D. et al, The Functional Magnetic Resonance Imaging Data Center: (fMRIDC): The challenges and rewards of large-scale databasing of neuroimaging studies. Philos. Trans. R. Soc. Lond. B Biol. Sci. 356:1323–1339, 2001. doi:10.1098/rstb.2001.0916.

    Article  Google Scholar 

  10. Gorman, M. J., Jacobs, B., Sloan, M., Roth, Y., and Levine, S. R., A web-based interactive database system for a transcranial Doppler ultrasound laboratory. J. Neuroimaging. 16:11–15, 2006.

    Google Scholar 

  11. Tsay, B. Y., and Stackhouse, J. R., Developing a management information system for a hospital: A case study on vendor selection. J. Med. Syst. 15:345–358, 1991. doi:10.1007/BF00995973.

    Article  Google Scholar 

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Acknowledgements

This work was supported by NIH grant # NS043488. We thank Janet Ben-Mordechai, RN, Ilana Seror, B.Sc., and Vered Luufman-Malkin, CSW, for their assistance with the development and utilization of the system.

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Correspondence to Isak Prohovnik.

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Pozamantir, A., Lee, H., Chapman, J. et al. Web-based Multi-center Data Management System for Clinical Neuroscience Research. J Med Syst 34, 25–33 (2010). https://doi.org/10.1007/s10916-008-9212-2

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  • DOI: https://doi.org/10.1007/s10916-008-9212-2

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