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Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?
Data Visualization
The power of seeing.
Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?
Unexplained variation
in healthcare delivery
in the U.S.
Cancer Patients Receiving Chemotherapy Treatment
During Last Two Weeks of Life In the U.S.
Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?
The Research
Colin Ware
Visualizing Healthcare: You have the data, but can you see the story?
I SEE
I UNDERSTAND
Pre-Attentive
Processing
&
Human Cognition
Count the Fives
See the Fives
• Gestalt (Pattern) Principles
Proximity
Similarity
Enclosure
Closure
Continuity
Connection
Continuity:
Objects that are aligned together or appear to be a
continuation of one another are perceived as a
group.
Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?
Colors
Fill in the blank:
Approximately 10% of all males and
1% of all females are_____________.
Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?
Q1 Q2 Q3 Q4
Falls
Patient Falls with Injury 0.46 0.45 0.41
Serious Reportable Events 1 0 1 6
Medical Records
MD Notes Composite 72% 66% 65% 67%
H&P Compliance 100% 96% 94% 95%
H&P Updated per Policy 41% 21% 80% 45%
Medication Management-Inpatient
Medications Secured Properly 88% 83% 78% 83%
Patients' Own Meds-Labelling 38% 86% 60% 86%
Recording/Reporting Fridge Temp 40% 70% 53% 83%
Patient Education on AntiCoag 80% 80% 80% 80%
Med Rec-Admission 89% 92% 89% 87%
Med Rec-Discharge 98% 98% 98% 97%
Medication Management-Outpatient
Sites-MESAC Approval of Samples 100% 100% 100%
Sites-Correct Use of SIMS for
Approved Samples 86% 86% 86%
Pain Management
Pain Assessment/Reassessment NA 97% 98% 98%
Severe Pain Management NA 84% 95% 97%
Patient Identifiers
Mislabeled Specimens 1058 1110 1177 1143
Blood Transfusion RN Verification
Safety Reporting Proxy 0 0 0 0
Patient Rights
Grievance Responded (per MGH
policy) NA 79% 82% 76%
Restraints
Restraint Prevalence NA NA 6.1% 3.2%
MD/NP/PA Daily Assessment NA NA NA 33%
Ordered per Policy NA 90% 89% 89%
Utilization Matches Order NA 88% 80% 37%
RN Assessment & Interventions NA 92% 82% 85%
Skin Integrity
Pressure Ulcer Prevalence NA NA 2.9% 2.1%
CNS Consults (>Stage 2) NA 95% 87%
Wound Measured Weekly NA 86% 80%
Serious Reportable Events 3 2 1 4
Universal Protocol
UP Compliance (Procedural Areas) 96% 99% 94% 92%
UP Compliance (Ambulatory Areas) 71% 91% 64% 86%
Wrong Site Procedures-SRE 0 2 0 1
Other NPSGs
Critical Value Callbacks NA NA 98% 98%
MGH's Worry Box
Interventions without Orders
Infection Control
Internal Handoffs
Data TBD
Data TBD
Data TBD
Data TBD
Priority Area
CY10
The indiscriminate use of color adds
NOTHING
to the viewer’s experience.
Use Color to Show Differences Highlight Important Information
Compared with what?
Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?
Basic Statistics Required
Visualizing Healthcare: You have the data, but can you see the story?
Mean
Medical Patients Average Length of Stay
(ALOS)
Patient Days in Hospital
A 3
B 2
C 1
D 5
E 8
F 9
G 3
H 5
I 2
ALOS 4.2
Median
Medical Patients Median Length of Stay
Patient Days in Hospital
A 1
B 2
C 2
D 3
E 3
F 5
G 5
H 8
I 9
Median LOS 3
Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?
Correlation
Correlation is NOT Causation
Living in a southern state doesn’t cause diabetes.
BUT it is a good clue about who needs help the
most.
None of us are immune…
Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?
Data Visualization
Summary Best Practices
Tables
Use a TABLE to:
Look up specific values
Compare specific values
Display precise values
Communicate more than one unit of
measure
1 2 3 4 5 6 7 8 9 10 11 12
1 1 2 3 4 5 6 7 8 9 10 11 12
2 2 4 6 8 10 12 14 16 18 20 22 24
3 3 6 9 12 15 18 21 24 27 30 33 36
4 4 8 12 16 20 24 28 32 36 40 44 48
5 5 10 15 20 25 30 35 40 45 50 55 60
6 6 12 18 24 30 36 42 48 54 60 66 72
7 7 14 21 28 35 42 49 56 63 70 77 84
8 8 16 24 32 40 48 56 64 72 80 88 96
9 9 18 27 36 45 54 63 72 81 90 99 108
10 10 20 30 40 50 60 70 80 90 100 110 120
11 11 22 33 44 55 66 77 88 99 110 121 132
12 12 24 36 48 60 72 84 96 108 120 132 144
Multiplication Table
Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?
Graphs
Use a GRAPH to:
Show Patterns
Show Trends
Show Exceptions
Reveal relationships between multiple
values
At a Glance
I SEE
I UNDERSTAND
Methods of Encoding Data on a Graph
Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?
Quantify the Size of the
Parts
Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?
0% 10% 20% 30% 40% 50% 60% 70% 80%
Income < $25K
Income $25-50K
Income > $50K
Black and White Boston Residents
Who are Overweight or Obese by
Income
40% 50% 60% 70%
Income < $25K
Income $25-50K
Income > $50K
Black and White Boston Residents
Who are Overweight or Obese by
Income
Visualizing Healthcare: You have the data, but can you see the story?
Visualizing Healthcare: You have the data, but can you see the story?
Atlanta Palo Alto
Annual # Cases 25,000 21,000
Case Mix Index
Average Length of Stay 5.5 Days 5.5 Days
Average Charge per Case $40,000 $100,000
Median Charge per Case $20,000 $40,000
“Anything you can do
with a pie chart you can
do better with a bar
chart.”
Data Visualization Club
Mantra
Visualizing Healthcare: You have the data, but can you see the story?
Unplanned Hospital Readmissions
QUANTIFYING THE PROBLEM
The U.S. federal government has pegged the
cost of readmissions for
Medicare patients (65 and older) alone at
$26 billion annually
$17 billion
of it pays for unplanned readmissions that may
not happen if patients get the right care.
The overall readmission rate for those
65 and older in the U.S. is about
15% annually
and in New Zealand for the same
population it’s about
10% annually
Visualizing Healthcare: You have the data, but can you see the story?
Unplanned Hospital
Readmissions
SEEING THE
OPPORTUNITIES
Hospital Readmissions
Overview
Zoom
Details
Copyright 2015 © HealthDataViz. All rights reserved.
May only be used with the express permission of HealthDataViz.
Copyright 2015 ©
HealthDataViz. All rights
reserved.
May only be used with the
express permission of
HealthDataViz.
Copyright 2015 © HealthDataViz. All rights reserved.
May only be used with the express permission of HealthDataViz.
Copyright 2015 © HealthDataViz. All rights reserved.
May only be used with the express permission of HealthDataViz.
Hospital Readmissions
Overview
Zoom
Details
I SEE
I UNDERSTAND
Visualizing Healthcare: You have the data, but can you see the story?
See how you’re doing
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Visualizing Healthcare: You have the data, but can you see the story?

  • 1. See how you’re doing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
  • 6. The power of seeing.
  • 18. Unexplained variation in healthcare delivery in the U.S.
  • 19. Cancer Patients Receiving Chemotherapy Treatment During Last Two Weeks of Life In the U.S.
  • 29. • Gestalt (Pattern) Principles Proximity Similarity Enclosure Closure Continuity Connection
  • 30. Continuity: Objects that are aligned together or appear to be a continuation of one another are perceived as a group.
  • 34. Fill in the blank: Approximately 10% of all males and 1% of all females are_____________.
  • 37. Q1 Q2 Q3 Q4 Falls Patient Falls with Injury 0.46 0.45 0.41 Serious Reportable Events 1 0 1 6 Medical Records MD Notes Composite 72% 66% 65% 67% H&P Compliance 100% 96% 94% 95% H&P Updated per Policy 41% 21% 80% 45% Medication Management-Inpatient Medications Secured Properly 88% 83% 78% 83% Patients' Own Meds-Labelling 38% 86% 60% 86% Recording/Reporting Fridge Temp 40% 70% 53% 83% Patient Education on AntiCoag 80% 80% 80% 80% Med Rec-Admission 89% 92% 89% 87% Med Rec-Discharge 98% 98% 98% 97% Medication Management-Outpatient Sites-MESAC Approval of Samples 100% 100% 100% Sites-Correct Use of SIMS for Approved Samples 86% 86% 86% Pain Management Pain Assessment/Reassessment NA 97% 98% 98% Severe Pain Management NA 84% 95% 97% Patient Identifiers Mislabeled Specimens 1058 1110 1177 1143 Blood Transfusion RN Verification Safety Reporting Proxy 0 0 0 0 Patient Rights Grievance Responded (per MGH policy) NA 79% 82% 76% Restraints Restraint Prevalence NA NA 6.1% 3.2% MD/NP/PA Daily Assessment NA NA NA 33% Ordered per Policy NA 90% 89% 89% Utilization Matches Order NA 88% 80% 37% RN Assessment & Interventions NA 92% 82% 85% Skin Integrity Pressure Ulcer Prevalence NA NA 2.9% 2.1% CNS Consults (>Stage 2) NA 95% 87% Wound Measured Weekly NA 86% 80% Serious Reportable Events 3 2 1 4 Universal Protocol UP Compliance (Procedural Areas) 96% 99% 94% 92% UP Compliance (Ambulatory Areas) 71% 91% 64% 86% Wrong Site Procedures-SRE 0 2 0 1 Other NPSGs Critical Value Callbacks NA NA 98% 98% MGH's Worry Box Interventions without Orders Infection Control Internal Handoffs Data TBD Data TBD Data TBD Data TBD Priority Area CY10
  • 38. The indiscriminate use of color adds NOTHING to the viewer’s experience.
  • 39. Use Color to Show Differences Highlight Important Information
  • 51. Mean Medical Patients Average Length of Stay (ALOS) Patient Days in Hospital A 3 B 2 C 1 D 5 E 8 F 9 G 3 H 5 I 2 ALOS 4.2
  • 52. Median Medical Patients Median Length of Stay Patient Days in Hospital A 1 B 2 C 2 D 3 E 3 F 5 G 5 H 8 I 9 Median LOS 3
  • 56. Correlation is NOT Causation
  • 57. Living in a southern state doesn’t cause diabetes. BUT it is a good clue about who needs help the most.
  • 58. None of us are immune…
  • 63. Use a TABLE to: Look up specific values Compare specific values Display precise values Communicate more than one unit of measure
  • 64. 1 2 3 4 5 6 7 8 9 10 11 12 1 1 2 3 4 5 6 7 8 9 10 11 12 2 2 4 6 8 10 12 14 16 18 20 22 24 3 3 6 9 12 15 18 21 24 27 30 33 36 4 4 8 12 16 20 24 28 32 36 40 44 48 5 5 10 15 20 25 30 35 40 45 50 55 60 6 6 12 18 24 30 36 42 48 54 60 66 72 7 7 14 21 28 35 42 49 56 63 70 77 84 8 8 16 24 32 40 48 56 64 72 80 88 96 9 9 18 27 36 45 54 63 72 81 90 99 108 10 10 20 30 40 50 60 70 80 90 100 110 120 11 11 22 33 44 55 66 77 88 99 110 121 132 12 12 24 36 48 60 72 84 96 108 120 132 144 Multiplication Table
  • 71. Use a GRAPH to: Show Patterns Show Trends Show Exceptions Reveal relationships between multiple values
  • 74. Methods of Encoding Data on a Graph
  • 77. Quantify the Size of the Parts
  • 81. 0% 10% 20% 30% 40% 50% 60% 70% 80% Income < $25K Income $25-50K Income > $50K Black and White Boston Residents Who are Overweight or Obese by Income
  • 82. 40% 50% 60% 70% Income < $25K Income $25-50K Income > $50K Black and White Boston Residents Who are Overweight or Obese by Income
  • 85. Atlanta Palo Alto Annual # Cases 25,000 21,000 Case Mix Index Average Length of Stay 5.5 Days 5.5 Days Average Charge per Case $40,000 $100,000 Median Charge per Case $20,000 $40,000
  • 86. “Anything you can do with a pie chart you can do better with a bar chart.” Data Visualization Club Mantra
  • 89. The U.S. federal government has pegged the cost of readmissions for Medicare patients (65 and older) alone at $26 billion annually $17 billion of it pays for unplanned readmissions that may not happen if patients get the right care.
  • 90. The overall readmission rate for those 65 and older in the U.S. is about 15% annually and in New Zealand for the same population it’s about 10% annually
  • 94. Copyright 2015 © HealthDataViz. All rights reserved. May only be used with the express permission of HealthDataViz.
  • 95. Copyright 2015 © HealthDataViz. All rights reserved. May only be used with the express permission of HealthDataViz.
  • 96. Copyright 2015 © HealthDataViz. All rights reserved. May only be used with the express permission of HealthDataViz.
  • 97. Copyright 2015 © HealthDataViz. All rights reserved. May only be used with the express permission of HealthDataViz.
  • 101. See how you’re doing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Editor's Notes

  • #2: Copyright 2015 © HealthDataViz. All rights reserved. May only be used with the express permission of HealthDataViz.
  • #3: Copyright 2015 © HealthDataViz. All rights reserved. May only be used with the express permission of HealthDataViz.
  • #4: Copyright 2015 © HealthDataViz. All rights reserved. May only be used with the express permission of HealthDataViz.
  • #5: Copyright 2015 © HealthDataViz. All rights reserved. May only be used with the express permission of HealthDataViz.
  • #6: Copyright 2015 © HealthDataViz. All rights reserved. May only be used with the express permission of HealthDataViz.
  • #7: Copyright 2015 © HealthDataViz. All rights reserved. May only be used with the express permission of HealthDataViz.
  • #8: Copyright 2015 © HealthDataViz. All rights reserved. May only be used with the express permission of HealthDataViz.
  • #9: Copyright 2015 © HealthDataViz. All rights reserved. May only be used with the express permission of HealthDataViz.
  • #10: Copyright 2015 © HealthDataViz. All rights reserved. May only be used with the express permission of HealthDataViz.
  • #11: Copyright 2015 © HealthDataViz. All rights reserved. May only be used with the express permission of HealthDataViz.
  • #14: Copyright 2015 © HealthDataViz. All rights reserved. May only be used with the express permission of HealthDataViz.
  • #15: Copyright 2015 © HealthDataViz. All rights reserved. May only be used with the express permission of HealthDataViz.
  • #16: Copyright 2015 © HealthDataViz. All rights reserved. May only be used with the express permission of HealthDataViz.
  • #17: Copyright 2015 © HealthDataViz. All rights reserved. May only be used with the express permission of HealthDataViz.
  • #18: Copyright 2015 © HealthDataViz. All rights reserved. May only be used with the express permission of HealthDataViz.
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