Emma Grundy, IBM Predictive Analytics, on how evidence-based decision-making in health can be driven by predictive analytics software.

1. Emma Grundy
IBM Predictive Analytics Solution Architect for SPSS Software
Driving evidence-based decision-making
with predictive analytics
Business Analytics software
© 2011 IBM Corporation

2. Business Analytics software
“To understand God's thoughts we must
study statistics, for these are the measure of
His purpose” © 2011 IBM Corporation

3. Business Analytics software
© 2011 IBM Corporation

4. Business Analytics software
© 2011 IBM Corporation

5. Business Analytics software
 Cardiac department at Sequoia Hospital, California has several treatment options for
patients both pre and post surgery.
 Every individual patient cold react differently to treatment options based on factors such as
age and weight, family history, previous treatment etc.
 They wanted to be able to predicts risk the of mortality an individual patient would have for
each treatment option to allow patients to make fully informed decisions.
 They needed also to apply global rules to patients based on medical knowledge and patient
preference to influence outcome.
 Prior to implementation it could take up to two weeks for doctors to obtain this information.
© 2011 IBM Corporation

6. Business Analytics software
How do I chose the best post-op care for Mr Jones?
A B C
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7. Business Analytics software
Who did the treatment A work for in the past?
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8. Business Analytics software
Who did the treatment A work for in the past?
 Age
 Weight
 Family history
 Treatment history
 Medication
 Doctor
 Hospital
 Days in hospital
 Case Notes
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9. Business Analytics software
How well does Mr Jones fit the profile?
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10. Business Analytics software
How do I chose the best post-op care for Mr Jones?
Profile for each
treatment Treatment Chance Patient Cost Decision
of Preferences
Success
78% 3 £90
81% 1 £80
64% 4 £50
Mr Jones
preferences
© 2011 IBM Corporation

11. Business Analytics software
How do I chose the best post-op care for Mr Jones?
Profile for each
treatment Treatment Chance Patient Cost Decision
of Preferences
Success
78% 3 £90
81% 1 £80
64% 4 £50
Mr Jones
preferences
© 2011 IBM Corporation

12. Business Analytics software
How do I chose the best post-op care for Mr Jones?
“The hospital detected a pattern that certain heart
patients developed problems with bleeding during
surgery if they received a particular blood clot
prevention drug in the days before the procedure. The
analysis led physicians to delay surgery for those who
have been on the drug”
Audrey Fisher, MPH, director of cardiovascular services at
Sequoia Hospital.
© 2011 IBM Corporation

13. Business Analytics software
Outcome for Sequoia Hospital
 The hospital's mortality rate for cardiac surgery, decreased from 3.8% to
1.7%
 Since implementation the Society of Thoracic Surgeons, which tracks and
evaluates procedures and outcomes for hospitals nationwide, gave
Sequoia Hospital the highest ranking in America for their cardiac
mortality and post op complications rate.
 "IBM predictive analytics is a life-saving technology as it allows us to
quickly uncover the intelligence that matters most to allow our
surgeons to make the best decision with precision and accuracy. Applying
IBM predictive analytics to enormous amounts of information allows us to
take evidenced-based diagnosis and patient care to the next level.“
Audrey Fisher, MPH, director of cardiovascular services at Sequoia
Hospital.
© 2011 IBM Corporation

14. Business Analytics software
© 2011 IBM Corporation

15. For further information on IBM’s Smarter Healthcare Solutions please contact:
IBM Healthcare Portal:
http://www-01.ibm.com/software/uk/analytics/spss/healthcare/
Marios Hajipavlou
IBM SPSS Healthcare Account Manager
e-mail: Marioshaj@uk.ibm.com
Phone: 020 8818 4776
Business Analytics software
© 2011 IBM Corporation