A December 2013 presentation to the International Association of EMS Chiefs annual meeting discussing how to make visual sense from data for results.

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

2.  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?

3.  My travel has been provided by:
 Real-Time Dashboards, Alerting,
Notification & Data Linkage
 http://www.firstwatch.net/
THANK YOU TO MY SPONSOR!

4. FROM THIS

5. TO THIS

6. “However beautiful the strategy, you
should occasionally look at the
results” – Winston Churchill
IT IS ALL ABOUT…

7. READY?

8. VISUALLY TELL A STORY

9. WHO IS IT?

10. WHERE IS IT?

11. WHAT IS IT?

12. TELL A USEFUL STORY

13. LETS TALK SPORTS

14. REAL TIME/INTEGRATED DATA

15. LET’S GET PERSONAL

16. RIP NORA

17. AVERAGE?

18. 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

19. LET’S GET PHYSICAL!

20. STEP BY STEP

21. HOUR BY HOUR

22. CONTEXT MATTERS, ALWAYS

23. SAME DATA, DIFFERENT VIEW!

24. CLOSER LOOK?

25. DRILL IN 18 MONTHS LATER!

26. WHAT HAPPENED?

27. MY FIRST ATTEMPT AT 50 MILES!

28. THAT’S A BIG HILL!

29. NEXT COMES THE REAL HARD WORK

30. RETEST – FIRST 50K ATTEMPT!

31. HOW DID THAT COMPARE?
Fastest: 3:52 mins/mile improvement
Average: 2:13 mins/mile improvement

32. 50 MILE SUFFER?

33. 50K SUFFER?

34. A WISE MAN ONCE SAID…

35. THE POINT?

36. DATA IS DATA!

37. OPERATIONAL INDICATORS

38. CALL VOLUME

39. HIGH PRIORITY RESPONSE TIMES

40. DISPATCH TIMES

41. HIGH/LOW VOLUME?

42. REAL TIME CONTRACT COMPLIANCE

43. HOSPITAL DESTINATIONS

44. CLINICAL PERFORMANCE MEASURES

45. CLINICAL MEASURE

46. EMS INFO

47. CLINICAL FINDINGS

48. CLINICAL TREATMENTS

49. 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

50. LINKED HOSPITAL DATA

51. FINAL THOUGHTS

52. 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

53. 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

54. 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

55. Nick Nudell
nick@priorihealth.com
(760) 405-6869
http://priorihealth.com/
http://www.linkedin.com/in/medicnick/
HELP?