Mobile Nurse Information System with Efficient Physiological Monitoring for Patient

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Abstract:

Current traditional physiological monitoring is accomplished by individual cardiogram monitor device attached to each patient’s bed. A nurse will have to frequently monitor the vital signs at patient’s bedside, which is inefficient and time consuming. Although some hospitals have deployed the central monitoring system, it still has space limit to the nurses and high cost. Our research work is to develop a mobile nurse information system with efficient physiological monitoring for patient based on iPad. Patient’s real-time physiological signals captured by the physiological monitoring system are integrated to the mobile nurse information system. Nurses could get just-in-time access to the data of the physiological monitoring system at anywhere through the clinical use of the mobile nurse information system. Trial version in our hospital showed that the system is feasible and efficient enough to apply in clinical settings.

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Periodical:

Advanced Materials Research (Volumes 989-994)

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1103-1106

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July 2014

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[1] Wang P. The real-time monitoring system for in-patient based on Zigbee,. Proceedings of the 2008 Second International Symposium on Intelligent Information Technology Application-Volume 01. IEEE Computer Society, 2008: 587-590.

DOI: 10.1109/iita.2008.110

Google Scholar

[2] Belardinelli, A., Franchi, D., Bedini, R., Ripoli, A., & Palagi, G. Ward informative system: hospital application of telemedicine,. IEEE In Computers in Cardiology, pp.413-416, (1999).

DOI: 10.1109/cic.1999.825995

Google Scholar

[3] Wu, Fei, and Hong Wang. Mobile Clinical Information System for Hospital Ward Rounds., Applied Mechanics and Materials 513 (2014): 2502-2505.

DOI: 10.4028/www.scientific.net/amm.513-517.2502

Google Scholar

[4] U. Anliker, J. A. Ward, P. Lukowicz, G. Tr¨oster, F. Dolveck, M. Baer,F. Keita, E. B. Schenker, F. Catarsi, L. Coluccini, A. Belardinelli,D. Shklarski, M. Alon, E. Hirt, R. Schmid, and M. Vuskovic, AMON: a wearable multiparameter medical monitoring and alert system, IEEE Trans. Inf. Technol. Biomed., vol. 8, no. 4, p.415–427, Dec. (2004).

DOI: 10.1109/titb.2004.837888

Google Scholar

[5] M. F. A. Rasid and B. Woodward, Bluetooth telemedicine processor for multichannel biomedical signal transmission via mobile cellular networks, IEEE Trans. Inf. Technol. Biomed., vol. 9, no. 1, p.35–43, Mar. (2005).

DOI: 10.1109/titb.2004.840070

Google Scholar

[6] E. Kafeza, D. K.W. Chiu, S. C. Cheung, andM. Kafeza, Alerts in mobile healthcare applications: requirements and pilot study, IEEE Trans. Inf. Technol. Biomed., vol. 8, no. 2, p.173–181, Jun. (2004).

DOI: 10.1109/titb.2004.828888

Google Scholar

[7] Y. -H. Lin, I. -C. Jan, P. C. -I. Ko, Y. -Y. Chen, J. -M. Wong, and G. -J. Jan, A wireless PDA-based physiological monitoring system for patient transport, IEEE Trans. Inf. Technol. Biomed., vol. 8, no. 4, p.439–447, Dec. (2004).

DOI: 10.1109/titb.2004.837829

Google Scholar

[8] R. -G. Lee, C. -C. Hsiao, K. -C. Chen, and M. -H. Liu, An intelligent diabetes mobile care system with alert mechanism, Biomed. Eng. Appl., Basis Commun., vol. 17, no. 4, p.186–192, Aug. (2005).

DOI: 10.4015/s1016237205000299

Google Scholar

[9] R. -G. Lee, C. -C. Lai, S. -S. Chiang, H. -S. Liu, C. -C. Chen, and G. -Y. Hsieh, Design and implementation of a mobile-care system over wireless sensor network for home healthcare applications, in Proc. 28th Annu. Int. Conf. IEEE-EMBS, New York, Aug. 30–Sep. 3, 2006, p.6004.

DOI: 10.1109/iembs.2006.259903

Google Scholar

[10] R. -G. Lee, C. -C. Hsiao,C. -C. Chen, and M. -H. Liu, Amobile-care system integrated with Bluetooth blood pressure and pulse monitor, and cellular phone, IEICE Trans. Inform. Syst., vol. E89-D, no. 5, p.1702–1711, May (2006).

DOI: 10.1093/ietisy/e89-d.5.1702

Google Scholar

[11] Unified Modeling Language (UML) Specification 1. 5, Object Management Group. (2003, Mar. ), [Online]. Available: http: /www. omg. org/cgibin/doc?formal/03-03-01.

Google Scholar

[12] Lee, R. G., Chen, Y. C., Hsiao, C. C., & Tseng, C. L. (2007). A mobile care system with alert mechanism. Information Technology in Biomedicine, IEEE Transactions on, 11(5), 507-517.

DOI: 10.1109/titb.2006.888701

Google Scholar

[13] Lee, Ren-Guey, et al. An intelligent diabetes mobile care system with alert mechanism., Biomedical Engineering: Applications, Basis and Communications 17. 04 (2005): 186-192.

DOI: 10.4015/s1016237205000299

Google Scholar

[14] R. -G. Lee, I. -C. Chou, C. -C. Lai, M. -H. Liu, and M. -J. Chiu, A novel QRS detection algorithm applied to the analysis for heart rate variability of patients with sleep apnea, Biomed. Eng. Appl., Basis Commun., vol. 17, no. 5, p.258–262, Oct. (2005).

DOI: 10.4015/s101623720500038x

Google Scholar