LEVERAGING DATA FOR
Nick Nudell, MS, NRP
Chief Data Officer
PrioriHealth Partners, LLP
15 Years in EMS as a Volunteer EMR/EMT and Paid
Section Editor for upcoming paramedic textbook, educator,
author, planner, regulator & EKGNERD
NEMSIS, NASEMSO, NAEMT, NQF, NEMSAC, SAE, NEMSMA,
Advocates, CLIR/EVENT, IRCP, & others
Chief Data Officer for PrioriHealth Partners – consulting to
states, counties, cities & NHTSA Office of EMS
BA in IT Management
MS in Information Security
WHO AM I?
My travel has been provided by:
Real-Time Dashboards, Alerting,
Notification & Data Linkage
THANK YOU TO MY SPONSOR!
Count: 121 Activities Avg Speed: 4.5 mph
Distance: 1,138.73 mi Avg Run Cadence: 66 spm
Avg Distance: 9.41 mi Max Avg Run Cadence: 79 spm
Median Distance: 7.64 mi Max Run Cadence: 112 spm
Max Distance: 32.94 mi Steps: 1,820,340 s
Time: 254:06:45 h:m:s Max HR: 239 bpm
Avg Time: 2:06:00 h:m:s Avg HR: 140 bpm
Median Time: 1:24:30 h:m:s Calories: 130,344 C
Max Time: 9:57:27 h:m:s
Elevation Gain: 121,674 ft
Max Elevation Gain: 7,628 ft
Elevation Loss: 125,006 ft
Past 365 Days
UNIT M34 RESPONDED TO XXXXXX ON A REPORTED 09E02 - SUBJECT NOT
BREATHING. C/C: PATIENT IS A 30 YEARS OLD MALE, C/O CARDIAC ARREST
HPI: PT FOUND ON THE FLOOR UNRESPONSIVE, PT GIVES ONE AGONAL RESP,
AND HAS A PULSE THAT QUICKLY BECOMES ABSENT. CCR IS INITIATED. PT IS IN
A PEA BRADYCARDIA. PT DOES NOT RESPOND TO NARCAN.
BYSTANDER RELATES HE HAS A HX OF RECREATIONAL DRUG USE. SHE RELATES
THAT SHE WAS AWARE THAT THE PT HAD BEEN USING METH, AND THAT HE HAD
DRANK SOME BONG WATER THAT WAS LACED WITH METH AS WELL.
PT WAS WITNESSED TO GO UNRESPONSIVE. PT SKIN BECOMES VERY HOT TO
THE TOUCH. PT REGAINS A PULSE SHORTLY AFTER THE PLACEMENT OF LUCAS
COMPRESSIONS DEVICE. PT REMAINS UNRESPONSIVE. HE GOES INTO A SVT
RHYTHM WHICH QUICKLY SLOWS TO A SINUS RHYTHM. PT BECOMES
HYPOTENSIVE DURING TRANSPORT AT ARRIVAL TO WESLEY.
PMH: OTHER , DRUG ABUSE ALLERGIES: NKDA MEDICATIONS: NONE
1. Use your data.
Agency specific data is more accurate in predicting patient outcome
than state, nationwide or proprietary benchmarks. We must take into
account staff, geography, demography, clinical capability, and other
factors beyond the clinical composition of the patient. Those factors
would be overlooked using data sources other than your own.
2. Find predictors by understanding workflow.
Understanding under what context, and in what workflow your data is
generated is essential to effective analysis. Understanding your
workflow in advance, an analytics expert can create tools that better
accommodate your needs.
USEFUL DATA IS KEY
3. Generate actionable insights.
In industries like health care—where minutes matter—it’s critical your
data analysis can deliver insight that clinicians can immediately
understand and use. Endless reports and dashboards frustrate
4. Foster usability.
The experience of presenting data must be intuitive if you want to
positively affect business and care.
5. Monitor and optimize constantly.
Data and workflows change—so must your analytical models.
Constantly analyze, test and if need be, alter your models so you
deliver the best output, and always assess your analytics in the
context of the clinical workflow in which it is created.