The Evolution of LiveMUM - deccanugc.com · Med-Act Demographics •Third service – County...
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The Evolution of LiveMUM Brad Mason, Division Chief
Transcript of The Evolution of LiveMUM - deccanugc.com · Med-Act Demographics •Third service – County...
The Evolution of LiveMUM
Brad Mason, Division Chief
Med-Act Demographics
• Third service – County department established in 1975
• All ALS for the entire county – 911 Only
• 37,000 calls – 26,000 transports in 2014
• Tandem response with 10 FD’s – Some do ALS first response
• 473 square miles – urban to rural
• 560,000 population…
• Approximately one-third of metro KC
Med-Act Demographics
• 16 ALS ambulances / 24 hour shifts
• 2 ALS first response units
• 2 Battalion Chiefs
• All paramedic staffing
• Station based deployment
• 110 field personnel
• Dispatched by Johnson County Emergency Communications Center (ECC)
Emergency Communications (ECC)
• Johnson County ECC is a separate county department
• Secondary PSAP
• Med-Act and 10 FD’s
• 56,000 calls in 2014
• User Advisory Board
• Critically important – positive relationships
Where Did We Start?
• Started implementation of LiveMUM in
2005
• Went live in 2006
• Through trial and error we ultimately
achieved a reduction in the number of
move-ups and an increase in response
time performance
How We’ve Changed…
2006 2014
Calls 26,000 37,000
Transports 18,000 26,000
Move-Ups 7,000 9,000
Ambulances 14 16
• Much more busier – creating even more disdain for move-ups
• How can we decrease move-ups and not negatively impact performance?
Probability Feature in LiveMUM
• What? We can use historical data to
predict the likelihood of another call
occurring?
• Two goals:
– Maintain response time performance
– Decrease workload
• OK – three goals:
– DO NOT anger the ECC… Seriously!!
I’m Not Kidding…
• DO NOT anger the ECC!!
Probability Feature
• Started testing in August of 2012
• Went live with a 15% threshold in October
of 2012
• Daily data monitoring
• Slowly turning up the threshold ever since
• Trying to find the sweet spot between
workload and response time performance
What Once Was…
• Overcoming the Pavlovian response to
move-ups
By The Numbers…
Our Experience Thus Far Date Setting RT Perf. C1 Calls Move-Ups Total Calls
0% 94% 38 35 98
10/1/2012 15% 94% 38 30 96
4/12/2013 20% 95% 38 30 99
5/31/2013 25% 95% 37 26 98
8/26/2013 30% 94% 37 25 97
12/10/2013 35% 94% 39 26 100
4/16/2014 40% 95% 40 29 103
7/24/2014 50% 94% 43 27 104
11/21/2014 60% 94% 42 26 102
5/21/2015 70% 93% 43 22 109
Trending
Daily Move-Ups
What Is Next?
• Do move-ups really make a difference?
– Chasing red dots on a map
– Outcome measures
– Cost vs. Benefit
• We need more data!
– What to collect & How to analyze
• Do move-ups truly impact our RTP?
– What will happen if we just quit doing them?
– Who has the guts to pull that trigger?
