Driving evidence-based decision-making with predictive analytics

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Abner Dixon
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1 Emma Grundy IBM Predictive Analytics Solution Architect for SPSS Software Driving evidence-based decision-making with predictive analytics Business Analytics software

2 To understand God's thoughts we must study statistics, for these are the measure of His purpose

5 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.

6 How do I chose the best post-op care for Mr Jones? A B C

7 Who did the treatment A work for in the past?

8 Who did the treatment A work for in the past? Age Weight Family history Treatment history Medication Doctor Hospital Days in hospital Case Notes

9 How well does Mr Jones fit the profile?

10 How do I chose the best post-op care for Mr Jones? Profile for each treatment Treatment Chance of Success Patient Preferences Cost Decision 78% % % 4 50 Mr Jones preferences

11 How do I chose the best post-op care for Mr Jones? Profile for each treatment Treatment Chance of Success Patient Preferences Cost Decision 78% % % 4 50 Mr Jones preferences

12 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.

13 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.

15 For further information on IBM s Smarter Healthcare Solutions please contact: IBM Healthcare Portal: Marios Hajipavlou IBM SPSS Healthcare Account Manager Marioshaj@uk.ibm.com Phone: Business Analytics software

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