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Focus on Performance Optimization<br />

two main software modules: Optima Predict<br />

and Optima Live. Optima Live is made up of<br />

four submodules.<br />

Optima Predict<br />

Optima Predict is the more static version,<br />

which predicts the response time within an<br />

area, considering the number of vehicles and<br />

posts plus historical data of deployments.<br />

By changing the variables of vehicles and<br />

posts, one can create the optimal distribution<br />

of vehicles over the area. This optimal<br />

distribution can be summarised in a post<br />

plan top 20, indicating in which order the<br />

post should be populated with ambulances.<br />

The most critical location is placed at the<br />

top.<br />

Optima Live<br />

Optima Live is a real-time decision support<br />

solution that provides an operational picture<br />

of the live situation for the service area. It<br />

can also predict how this actual situation will<br />

evolve, considering the known deployment<br />

history for the region. The Optima software’s<br />

database contains preloaded historical data.<br />

Optima Live in AZRR has for main modules:<br />

Real Time View, Look Ahead, Deployment<br />

and Dispatch. Real Time View presents the<br />

current position of each vehicle. Colour<br />

coding depicts the ability to service the<br />

patient within 15 minutes (the Dutch<br />

standard). Look Ahead shows the coverage<br />

Optima Predict is an interactive strategic<br />

planning solution that gives users the<br />

ability to generate evidence for strategic<br />

and operational decisions, quantifying the<br />

impact of any changes in response time<br />

performance, vehicle utilisation and other<br />

key operational metrics. The model uses<br />

historic data to produce a highly accurate<br />

simulation model of the operation; a<br />

user can then make changes to the<br />

operation and evaluate the impact of these<br />

changes against the general performance<br />

requirement of being on time in 95 % of<br />

the acute deployments. For example, by<br />

changing the variables of vehicles and posts,<br />

one can create the optimal distribution<br />

of vehicles over the area. This optimal<br />

distribution can be summarised in a post<br />

plan top 20, indicating in which order the<br />

post should be populated with ambulances.<br />

The most critical location is placed at the<br />

top.<br />

as it will be 20 minutes from now and<br />

indicates where to expect new incidents,<br />

based on historical data. The third module,<br />

Deployment, combines Real Time View and<br />

Look Ahead and the post plans to propose<br />

deployments while maintaining an optimal<br />

distribution of the vehicles across the region.<br />

It indicates which posts lack resources,<br />

attracting the dispatcher’s attention using a<br />

red-coloured symbol, urging the dispatcher<br />

to assign a vehicle to this location (see<br />

picture below at the left side, underresourced<br />

locations in red). The Deployment<br />

module also suggests corrective actions to<br />

restore the desired situation, by displaying<br />

action arrows.<br />

The last module, Dispatch, proposes the<br />

deployment of a specific vehicle as most<br />

suitable to respond to an incident. This<br />

deployment proposal is generated very<br />

quickly, taking all constraints, including<br />

maintaining service area coverage and<br />

response time, into account. It can directly be<br />

used for deployment.<br />

Government Funding<br />

In the Netherlands, the ambulance budget<br />

is dictated by the government. For every<br />

region, there is one organisation with an<br />

exclusive licence for the ambulance service.<br />

In our region, AZRR has obtained the<br />

licence. The budget used to be primarily<br />

output-oriented but has evolved towards<br />

a lump sum budget based on locations and<br />

performance (95% of acute deployments<br />

within 15 minutes).<br />

The picture shows a screen shot of Optima Deployment. On the left-hand side is the real-time view, showing a<br />

location in red with insufficient resourcing of vehicles. On the right-hand side, Optima’s Look Ahead is shown. It<br />

presents the situation as anticipated 20 minutes into the future, with arrows indicating the required moves to<br />

reach that goal. In this example, ambulance 116 should be moved from the location “Haringvlietdam” to the<br />

location “Goedereede”.<br />

Book your place at EMS2016 now at: www.ems2016.org<br />

Working with Optima<br />

We started working with Optima Predict<br />

in 2012, to increase our understanding of<br />

what the optimal distribution of posts and<br />

vehicles across the service area would be. In<br />

our budgeting process, it is very important to<br />

be able to recalculate the budget as granted<br />

to us by the government. The government<br />

budget dictates how many costs we are<br />

allowed to make, based on the regionspecific<br />

indicators such as demographics and<br />

infrastructural complexity, keeping in mind<br />

that 95% of the acute deployments have<br />

to be coped with within 15 minutes (12<br />

minutes driving time plus 3 minutes response<br />

time).<br />

One output from Optima Predict is a Post<br />

Plan, summarising the optimal location of<br />

posts and vehicles; this plan indicates the<br />

Spring 2016 | <strong>Ambulance</strong>today<br />

Winter 2014 | <strong>Ambulance</strong>today3 51

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