Leveraging Data For Results

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IAEMSC 2013 LEVERAGING DATA FOR RESULTS Nick Nudell, MS, NRP Chief Data Officer PrioriHealth Partners, LLP

Transcript of Leveraging Data For Results

IAEMSC

2013

LEVERAGING DATA FOR

RESULTS

Nick Nudell , MS, NRP

Chief Data Of ficer

PrioriHealth Partners, LLP

15 Years in EMS as a Volunteer EMR/EMT and Paid

Rural/Urban CCEMTP

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

http://www.firstwatch.net/

THANK YOU TO MY SPONSOR!

FROM THIS

TO THIS

“However beautiful the strategy, you

should occasionally look at the

results” – Winston Churchill

IT IS ALL ABOUT…

READY?

VISUALLY TELL A STORY

WHO IS IT?

WHERE IS IT?

WHAT IS IT?

TELL A USEFUL STORY

LETS TALK SPORTS

REAL TIME/INTEGRATED DATA

LET’S GET PERSONAL

RIP NORA

AVERAGE?

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

MAKING CHANGES

Past 365 Days

LET’S GET PHYSICAL!

STEP BY STEP

HOUR BY HOUR

CONTEXT MATTERS, ALWAYS

SAME DATA, DIFFERENT VIEW!

CLOSER LOOK?

DRILL IN 18 MONTHS LATER!

WHAT HAPPENED?

MY FIRST ATTEMPT AT 50 MILES!

THAT’S A BIG HILL!

NEXT COMES THE REAL HARD WORK

RETEST – FIRST 50K ATTEMPT!

HOW DID THAT COMPARE?

Fastest: 3:52 mins/mile improvement

Average: 2:13 mins/mile improvement

50 MILE SUFFER?

50K SUFFER?

A WISE MAN ONCE SAID…

THE POINT?

DATA IS DATA!

OPERATIONAL INDICATORS

CALL VOLUME

HIGH PRIORITY RESPONSE TIMES

DISPATCH TIMES

HIGH/LOW VOLUME?

REAL TIME CONTRACT COMPLIANCE

HOSPITAL DESTINATIONS

CLINICAL PERFORMANCE MEASURES

CLINICAL MEASURE

EMS INFO

CLINICAL FINDINGS

CLINICAL TREATMENTS

NARRATIVE

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

LINKED HOSPITAL DATA

FINAL THOUGHTS

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

people.

4. Foster usability.

The experience of presenting data must be intuitive if you want to

positively affect business and care.

USE IT

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.

REFINE IT

Nick Nudell

[email protected]

(760) 405-6869

http://priorihealth.com/

http://www.linkedin.com/in/medicnick/

HELP?