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Journal of Medical Systems

Erschienen in:

01.06.2014 | Mobile Systems

Design and Development of A Mobile-based System for Supporting Emergency Triage Decision Making

verfasst von: Yu Tian, Tian-Shu Zhou, Yu Wang, Mao Zhang, Jing-Song Li

Erschienen in: Journal of Medical Systems | Ausgabe 6/2014

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Abstract

Emergency care for mass casualty incidents is a sophisticated multi-participant process. To manage this process effectively, many information systems have been proposed. However, their performance in improving the efficiency and accuracy of patient triage is not satisfactory. This paper is concerned with the development of a mobile-based system for supporting emergency triage in the emergency care process for mass casualty incidents. This system collects the patient’s emergency data throughout the whole emergency care process through a mobile application and data transfer mechanism. Using a Cox proportional hazard model, the system has the capacity to present the survival curve to the triage officer, helping him/her to make triage and transportation decisions. This system offers an alternative injury assessment tool based on the vital signs data of the injury patient. With the help of this system, the triage officer can more directly and comprehensively learn about each patient’s situation and deterioration without additional operations at the incident site.

Aylwin, C. J., Konig, T. C., Brennan, N. W., Shirley, P. J., Davies, G., Walsh, M. S., and Brohi, K., Reduction in critical mortality in urban mass casualty incidents: analysis of triage, surge, and resource use after the London bombings on July 7, 2005. Lancet 368(9554):2219–2225, 2006. doi:10.1016/s0140-6736(06)69896-6.CrossRef

Ryan, J. M., and Doll, D., Mass casualties and triage. In: Velmahos, G. C. C., Degiannis, E., and Doll, D. (Eds.), Penetrating Trauma. Springer, Berlin, pp. 151–159, 2012. doi:10.1007/978-3-642-20453-1_21.CrossRef

Gao, T., Massey, T., Selavo, L., Crawford, D., Chen, B. R., Lorincz, K., Shnayder, V., Hauenstein, L., Dabiri, F., Jeng, J., Chanmugam, A., White, D., Sarrafzadeh, M., and Welsh, M., The Advanced Health and Disaster Aid Network: a light-weight wireless medical system for triage. IEEE Trans. Biomed. Circ. Syst. 1(3):203–216, 2007. doi:10.1109/tbcas.2007.910901.CrossRef

Gao, T., and White, D., A next generation electronic triage to aid mass casualty emergency medical response. Conference proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Conference Suppl:6501–6504. doi:10.1109/iembs.2006.260881, 2006.

Lenert, L. A., Kirsh, D., Griswold, W. G., Buono, C., Lyon, J., Rao, R., and Chan, T. C., Design and evaluation of a wireless electronic health records system for field care in mass casualty settings. J. Am. Med. Inform. Assoc. 18(6):842–852, 2011. doi:10.1136/amiajnl-2011-000229.CrossRef

Kahn, C. A., Schultz, C. H., Miller, K. T., and Anderson, C. L., Does START triage work? An outcomes assessment after a disaster. Ann. Emerg. Med. 54(3):424–430, 2009. doi:10.1016/j.annemergmed.2008.12.035. 430 e421.CrossRef

Sacco, W. J., Navin, M., Fiedler, K. E., Waddell, R. K., Long, W. B., and Buckman, R. F., Precise formulation and evidence-based application of resource-constrained triage. Acad. Emerg. Med. 12(8):759–770, 2005. doi:10.1197/j.aem.2005.04.003.CrossRef

Wu, H., Hamdi, L., Mahe, N., TANGO: A flexible mobility-enabled architecture for online and offline mobile enterprise applications. In: Mobile Data Management (MDM), 2010 Eleventh International Conference on, 23–26 May 2010. pp 230–238. doi:10.1109/MDM.2010.58, 2010

Poulymenopoulou, M., Malamateniou, F., and Vassilacopoulos, G., Emergency healthcare process automation using mobile computing and cloud services. J. Med. Syst. 36(5):3233–3241, 2012. doi:10.1007/s10916-011-9814-y.CrossRef

10.

Sasser, S.M., Hunt, R.C., Faul, M., Sugerman, D., Pearson, W.S., Dulski, T., Wald, M.M., Jurkovich, G.J., Newgard, C.D., and Lerner, E.B., Guidelines for field triage of injured patients: recommendations of the National Expert Panel on Field Triage, 2011. MMWR Recommendations and reports : Morbidity and mortality weekly report Recommendations and reports/Centers for Disease Control 61 (RR-1):1–20, 2012

11.

Boyd, C. R., Tolson, M. A., and Copes, W. S., Evaluating trauma care: the TRISS method. Trauma score and the injury severity score. J. Trauma 27(4):370–378, 1987.CrossRef

12.

Purtill, M. A., Benedict, K., Hernandez-Boussard, T., Brundage, S. I., Kritayakirana, K., Sherck, J. P., Garland, A., and Spain, D. A., Validation of a prehospital trauma triage tool: a 10-year perspective. J. Trauma. 65(6):1253–1257, 2008. doi:10.1097/TA.0b013e31818bbfc2.CrossRef

13.

Chawda, M. N., Hildebrand, F., Pape, H. C., and Giannoudis, P. V., Predicting outcome after multiple trauma: which scoring system? Inj.-Int. J. Care Inj. 35(4):347–358, 2004. doi:10.1016/s0020-1383(03)00140-2.CrossRef

14.

Hirshberg, A., Holcomb, J. B., and Mattox, K. L., Hospital trauma care in multiple-casualty incidents: a critical view. Ann. Emerg. Med. 37(6):647–652, 2001. doi:10.1067/mem.2001.115650.CrossRef

15.

Garner, A., Lee, A., Harrison, K., and Schultz, C. H., Comparative analysis of multiple-casualty incident triage algorithms. Ann. Emerg. Med. 38(5):541–548, 2001. doi:10.1067/mem.2001.119053.CrossRef

16.

Wang, S.-T., Construct an optimal triage prediction model: a case study of the emergency department of a teaching hospital in Taiwan. J. Med. Syst. 37(5):1–11, 2013. doi:10.1007/s10916-013-9968-x.CrossRef

17.

Shirabad, J. S., Wilk, S., Michalowski, W., and Farion, K., Implementing an integrative multi-agent clinical decision support system with open source software. J. Med. Syst. 36(1):123–137, 2012. doi:10.1007/s10916-010-9452-9.CrossRef

18.

Killeen, J.P., Chan, T.C., Buono, C., Griswold, W.G., and Lenert, L.A., A wireless first responder handheld device for rapid triage, patient assessment and documentation during mass casualty incidents. AMIA Annual Symposium proceedings/AMIA Symposium AMIA Symposium:429–433, 2006

19.

Chan, T. C., Killeen, J., Griswold, W., and Lenert, L., Information technology and emergency medical care during disasters. Acad. Emerg. Med. 11(11):1229–1236, 2004. doi:10.1197/j.aem.2004.08.018.CrossRef

20.

Navin, D. M., Sacco, W. J., and McGill, G., Application of a new resource-constrained triage method to military-age victims. Mil. Med. 174(12):1247–1255, 2009.CrossRef

21.

Sacco, W. J., Navin, D. M., Waddell, R. K. I., Fiedler, K. E., Long, W. B., and Buckman, R. F. J., A new resource-constrained triage method applied to victims of penetrating injury. J. Trauma Acute Care Surg. 63(2):316–325, 2007.CrossRef

Titel: Design and Development of A Mobile-based System for Supporting Emergency Triage Decision Making
verfasst von: Yu Tian
Tian-Shu Zhou
Yu Wang
Mao Zhang
Jing-Song Li
Publikationsdatum: 01.06.2014
Verlag: Springer US
Erschienen in: Journal of Medical Systems / Ausgabe 6/2014
Print ISSN: 0148-5598
Elektronische ISSN: 1573-689X
DOI: https://doi.org/10.1007/s10916-014-0065-6

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