Ambulance
21hiRF8
21hiRF8
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
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