Presentation is loading. Please wait.

Presentation is loading. Please wait.

Medical Evacuation Network Project LT McMullen LT Dunham.

Similar presentations


Presentation on theme: "Medical Evacuation Network Project LT McMullen LT Dunham."— Presentation transcript:

1 Medical Evacuation Network Project LT McMullen LT Dunham

2 Presentation: Medical Evacuation Background Information Helmand Province Graph / Network Analysis Questions

3 Medical Evaculation ~500AD Byzantine Empire’s Army was first to employ a organized medical evacuation. By 1800 most armies had some medical evacuation capability. Almost every conceivable mode of transportation has served to evacuate wounded from the battlefield.

4 Medical Evacuation Today US military doctrine employs a combination of ground, rotary and fixed wing transport. In southern Afghanistan, urgent patient transport relies almost entirely on a robust aeromedical evacuation network. Update 7 June

5 Golden Hour “Golden Hour” in emergency medicine refers to the span of time immediately after a traumatic injury of a soldier and the time medical intervention offers the greatest chance of survival.

6 Levels of Care Intra Theater Medical Care Level 1 –Care is administered at/close to POI and includes self or buddy aid, emergency lifesaving measures. Level 2 –Care includes basic resuscitation, limited surgical capability, basic transfusion services, limited ancillary services. Level 3 –The highest level of care in an operational theater and has all the capabilities of a medical treatment facility (MTF) in the States. 6

7 Purpose Initial Intent (week 1 of the course) –Model an aeromedical medevac network in Helmand Province. – Assess the robustness of the network with two medical evacuation platforms transporting multiple patients. –Assess design impact of providing critical care capabilities onboard current platform and extending “golden hour” 7

8 Purpose Revised Intent (week 9 of the course) –Model a notional aero medical evacuation network in Helmand Province Afghanistan. –Test the network’s ability capacities evacuate patients on demand. –Optimize placement of Military Treatment Facilities (MTFs). 8

9 Purpose Measures of Effectiveness The ability to transport patients throughout the entire medevac network in under 60 minutes (binary). 9

10 Update 7 June 2007 Helmand Province

11 Medical Evacuation Helicopters SH-60 –Max Speed ~145 knots –Capacity 4 litter patients MH-4E Chinook (British) –Max Speed 154 knots –Capacity 1-2 patients Helicopter Assumptions: –115 miles per hours (patient load/unload time, threat, etc). –Only SH-60s where employed. –Each SH-60 had a chase bird –Capacity 2 litter patients

12 Inaccessible Air Spaces Dust/Sand Storms –Among natures most violent and unpredictable phenomena. –High winds, unleashing turbulent, suffocating cloud of sand –Reduced visibility –Can travel at more than 75 miles per hour 12

13 Inaccessible Air Spaces Surface Air Missiles (SAMs) & Rocket Fire –"The US helicopter was shot down by the Taliban as it was taking off," … "It was hit by a rocket fired by the insurgents." 13

14 Assumptions Interdiction Model: –Level 2 MTFs have capacity of 2 patients –Level 3 MTF has an infinite capacity –Forward Operating Bases (FOBs) and MTFs are co-located –SH60s have a capacity of 2 litter patients –Only considered immediate or urgent evacuations

15 Assumptions Design Model: –Probability (weights) assigned for casualty evacuation for each POI –Iterative process –One patient evacuation demand at each node

16 Update 7 June 2007 Helmand Network Model Topology Start End FOB (0,1,1) (0,∞,0) (0,max bed capacity,0) (Cost, ∞,0)

17 Update 7 June 2007 Primal Setup

18 Update 7 June 2007 Dual Setup & Arc Attacks

19 Interdiction: 1-2 each POC Optimal Inaccessibility 24 inaccessible air spaces Example: –7 POI locations are unreachable

20 Interdication 3-4 each POI 10 in-accessible air spaces Example: –2 patients from POI make it to L2 MTF South, –However 1-2 patients are unable to travel to L3 MTF due to inaccessible air space 20

21 Interdiction 3-4 each POI 27 in-accessible air spaces Outcome: –10 POI locations lose 1-2 patients –7 POI locations are unreachable 21

22 Analysis 22

23 Analysis Update 7 June

24 Design-Optimal Placement of 2 MTFs Constant Distribution: 64% of POIs are reachable in under 60 minutes Realistic Causality Distribution: 89.5% (weighted) of POIs are reachable in under 60 minutes 24 reachable in over 60 minute

25 Design-Optimal Placement of 3 MTFs Constant Distribution: % of POIs are reachable in under 60 minutes Realistic Causality Distribution: 90.48% (weighted) of POIs are reachable in under 60 minutes 25

26 Design-Optimal Placement of 4 MTFs Constant Distribution: 93.55% of POIs are reachable in under 60 minutes Realistic Causality Distribution: 95.23% (weighted) POIs are reachable in under 60 minutes 26

27 Design Analysis Optimal placement of MTFs under constant distribution increases our ability to reach patients in under 60 minutes. –Original Placement of 4 MTFs: 87.1% –New Placement of 3 MTFs: % –New Placement of 4 MTFs: 93.55% Optimal placement of MTFs under realistic causality distribution increases our ability to reach patients in under 60 minutes. –New Placement of 3 MTFs: 90.48% –New Placement of 4 MTFs: 95.23% 27

28 Conclusions Current MTF placement is very close to the optimal position suggested by our model. Interdiction is probably not the best model for this network. If interdiction model was desired one that models weather would be more appropriate. Update 7 June

29 Conclusions Network should be reevaluated as the battle space evolves. Political and historical factors will be considered in facility placement by decision makers. Combined or Joint Operations adds more complexity (more medevac platforms types, country caveat constraints, medical rules of eligibility, etc.) Update 7 June

30 Questions Questions?


Download ppt "Medical Evacuation Network Project LT McMullen LT Dunham."

Similar presentations


Ads by Google