1 1, 2 1, 2 1 A Proposal of Ambulance Scheduling System Based on Electronic Triage Tag Teruhiro Mizumoto, 1 Weihua Sun, 1, 2 Keiichi Yasumoto 1, 2 and Minoru Ito 1 For effective life-saving in MCI (Mass Casualty Incident), it is important to accurately judge the injury severity of each victim, and quickly carry him/her to the appropriate hospital for treatment. In this paper, we propose an ambulance scheduling system that maximizes the overall life-saving rate for all victims. In the proposed system, we assume that we can collect the vital information such as the pulse and SPO2 of each victim with the electronic triage tag attached to him/her and decide the injury severity. Our system makes the schedule of available ambulances with the carrying order of victims that maximizes the overall life-saving rate. For this purpose, the system decides an appropriate hospital and the carrying order for each victim based on (1) the hospital information on capacity, acceptable injury types, and transportation time from the incident spot, and (2) the expected survival probability for elapsed time estimated by the injury severity. We formulate the ambulance scheduling problem and propose a heuristic algorithm that derives the sub-optimal solution. 1. Mass Casualty Incident, MCI MCI MCI 1) 2) MCI 1 Graduate School of Information Science, Nara Institute of Science Technology 2, CREST Japan Science and Technology Agency, CREST 1 c 2010 Information Processing Society of Japan
12) NP 2 MCI 3 4 5 2. MCI 1 START Simple Triage And Rapid Treatment 3) START 30 2 2 1 1 2.1 MCI 1 4 2 2 c 2010 Information Processing Society of Japan
2.3 2.2 2.3 2.3.1 CREST 8)9)10) ZigBee START 12) 2.3.2 Arun 7) 3 2.4 3. 3.1 2 2 3 c 2010 Information Processing Society of Japan
1 JATEC 5) JPTEC 6) 2 3.2 MCI TRISS(Trauma and Injury Severity Score) 4) TRISS RTS ISS TRISS 1 TRISS (1) Probability of survival: Ps 1 P s = [ ] (1) 1 + e b b = b 0 + b 1 RT S + b 2 ISS + b 3 JATEC iiiiiiiv i RTS ii ISS (1) RTS ISS TRISS TRISS TRISS 2 3 4 1 MTOS RTISS b 0 b 1 b 2 b 3 0.4499 0.8085 0.0835-1.734 2.5355 0.9934 0.0651-1.136 3 4 4 c 2010 Information Processing Society of Japan
ISS RTS ISS TRISS 3.3 5 2 2 P p S s H h Am am h.cap, h H h T t T L tl ps pt h.as, h H h as 5 h.as s h T t(s, h)(s S, h H) am.t L am.t L tl p s h ps pt am i p i s h am.tl i.pt = am.tl i 1.pt + T t(s, h) ps = T RISS(p, pt) pt cap Maximize : am i.tl j.ps i j 2 P H Am h H h.cap 4. 3 (1) (2) i ii 5 c 2010 Information Processing Society of Japan
iii iv T L S = Am s S am Am am s s am (Step 1) am i t i = 0, t = 0 s P (s) (Step 2) s 1 h H s h T t(s, h) t = t + T t(s, h) (Step 3) P (s) t p (Step 4) p h (A) am.tl i = p, P (s) = P (s) {p }, i = i + 1, t = t + 2 T t(s, h) Step2 P (s) (B) h H h s S P (s ) = P (s ) {p } s P (s ) p s s Step2 s s T t(s, s ) t 4.1 2 3 3 2 6 am 1 s 1 am 2 s 2 4.1.1 am 1 am 1 s 1 s 1 s 1 h 1 h 1 s 1 h 1 10min s 1 6 t α(t) s 1 p 1 p 1 h 1 p 1 6 p 1 h 1 h 1 p 1 am 1 p 1 s 1 7 2 1 am 1 2 p 1 10min 10min 20min 2 20min p 1 2 p 2 8 s 1 p 3 4.1.2 am 2 4.1.1 s 2 h 3 p 4 p 4 h 3 h 2 14min p 4 6 c 2010 Information Processing Society of Japan
7 p 1 9 10 8 p 2 h 2 p 4 s 2 9 p 5 h 3 h 2 28min p 5 p 5 h 2 p 5 0.45 α(28min) p 6 0.52 α(28min) p 6 h 3 am1 am 2 11 11 am 1 am 2 7 c 2010 Information Processing Society of Japan
5. 1) MOOK 4 ISBN 978-4-8159-1791-3 C3047 2007 2) http://etriage.jp 3) Benson, M. Koenig, KL. Shultz, CH. : Disaster triage: START, then SAVE-a new method of dynamic triage for victims of a catastrophic earthquake, Prehospital Disaster Med, Vol.11, No.2, pp.117-124 (1996). 4) 3 JATEC TM ISBN 978-4-89269-629-9 2009 2 5) JTCR http://jtcr-jatec.org 6) JPTEC TM http://jptec.jp 7) Jotshi, A.,Gong, Q. and Batta, R. : Dispatching and routing of emergency vehicles in disaster mitigation using data fusion, Socio-Economic Planning Sciences, Vol.43, No.1, pp.1-24 (2009). 8),,,, MoMuCvol.109(204) pp.33-38 (2009) 9),,,,,, (DICOMO2009) pp.1837-1848 (2009) 10),, (DICOMO2009) pp.1849-1854 (2009) 11) EMSQ J Nippon Med Sch Vol.71 pp.371 378 (2004) 12) pp. 31 36 (2009) 8 c 2010 Information Processing Society of Japan