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Leveraging Data For Results

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

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Leveraging Data For Results

  1. 1. IAEMSC 2013 LEVERAGING DATA FOR RESULTS Nick Nudell, MS, NRP Chief Data Officer PrioriHealth Partners, LLP
  2. 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. 3.  My travel has been provided by:  Real-Time Dashboards, Alerting, Notification & Data Linkage  http://www.firstwatch.net/ THANK YOU TO MY SPONSOR!
  4. 4. FROM THIS
  5. 5. TO THIS
  6. 6. “However beautiful the strategy, you should occasionally look at the results” – Winston Churchill IT IS ALL ABOUT…
  7. 7. READY?
  8. 8. VISUALLY TELL A STORY
  9. 9. WHO IS IT?
  10. 10. WHERE IS IT?
  11. 11. WHAT IS IT?
  12. 12. TELL A USEFUL STORY
  13. 13. LETS TALK SPORTS
  14. 14. REAL TIME/INTEGRATED DATA
  15. 15. LET’S GET PERSONAL
  16. 16. RIP NORA
  17. 17. AVERAGE?
  18. 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. 19. LET’S GET PHYSICAL!
  20. 20. STEP BY STEP
  21. 21. HOUR BY HOUR
  22. 22. CONTEXT MATTERS, ALWAYS
  23. 23. SAME DATA, DIFFERENT VIEW!
  24. 24. CLOSER LOOK?
  25. 25. DRILL IN 18 MONTHS LATER!
  26. 26. WHAT HAPPENED?
  27. 27. MY FIRST ATTEMPT AT 50 MILES!
  28. 28. THAT’S A BIG HILL!
  29. 29. NEXT COMES THE REAL HARD WORK
  30. 30. RETEST – FIRST 50K ATTEMPT!
  31. 31. HOW DID THAT COMPARE? Fastest: 3:52 mins/mile improvement Average: 2:13 mins/mile improvement
  32. 32. 50 MILE SUFFER?
  33. 33. 50K SUFFER?
  34. 34. A WISE MAN ONCE SAID…
  35. 35. THE POINT?
  36. 36. DATA IS DATA!
  37. 37. OPERATIONAL INDICATORS
  38. 38. CALL VOLUME
  39. 39. HIGH PRIORITY RESPONSE TIMES
  40. 40. DISPATCH TIMES
  41. 41. HIGH/LOW VOLUME?
  42. 42. REAL TIME CONTRACT COMPLIANCE
  43. 43. HOSPITAL DESTINATIONS
  44. 44. CLINICAL PERFORMANCE MEASURES
  45. 45. CLINICAL MEASURE
  46. 46. EMS INFO
  47. 47. CLINICAL FINDINGS
  48. 48. CLINICAL TREATMENTS
  49. 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. 50. LINKED HOSPITAL DATA
  51. 51. FINAL THOUGHTS
  52. 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. 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. 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. 55. Nick Nudell nick@priorihealth.com (760) 405-6869 http://priorihealth.com/ http://www.linkedin.com/in/medicnick/ HELP?

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