Advanced Analytics - The Power of data in healthcare - Stefan Ohlsson

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Stefan Ohlsson Healthcare Industry Leader IBM Nordic Advanced analytics - the power of data in Healthcare

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$95 Billion on medical research every year Only 6% completed on time 170,000 clinical trials ongoing worldwide A new scientific paper is published every 30 second © 2015 International Business Machines Corporation

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Källa: Stockholms Läns Landsting, Framtidens hälso- och sjukvård, 2013

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Be More Right, More O4en What action should I take? Decision management Why did it happen? Reporting, analysis, content analytics What could happen? Predictive analytics and modeling What is happening? Discovery and exploration © 2014 International Business Machines Corporation Kognitivt beslutsstöd © 2015 International Business Machines Corporation

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Be More Right, More O4en What did I learn, what’s best? Cognitive What action should I take? Decision management Why did it happen? Reporting, analysis, content analytics What could happen? Predictive analytics and modeling What is happening? Discovery and exploration © 2014 International Business Machines Corporation Kognitivt beslutsstöd © 2015 International Business Machines Corporation

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Case studies

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The Hospital for Sick Children, Toronto ©

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What Really Caused Readmissions at Seton The Data We Thought Would Be Useful … Wasn’t •  113 candidate predictors from structured and unstructured data sources •  Structured data was less reliable then unstructured data – increased the reliance on unstructured data 1. Jugular Venous Distention Indicator 2. Paid by Medicaid Indicator 3. Immunity Disorder Disease Indicator 4. Cardiac Rehab Admit Diagnosis with CHF Indicator 5. Lack of Emotion Support Indicator 6. Self COPD Moderate Limit Health History Indicator 7. With Genitourinary System and Endocrine Disorders 8. Heart Failure History 9. High BNP Indicator 10. Low Hemoglobin Indicator 11. Low Sodium Level Indicator 12. Assisted Living (from ICA Extract) 13. High Cholesterol History 14. Presence of Blood Diseases in Diagnosis History 15. High Blood Pressure Health History 16. Self Alcohol / Drug Use Indicator (Cerner + ICA) 17. Heart Attack History 18. Heart Disease History Top 18 Indicators Predictor Analysis % Encounters Structured Data % Encounters Unstructured Data Ejection Fraction (LVEF) 2% 74% Smoking Indicator 35% (65% Accurate) 81% (95% Accurate) Living Arrangements <1% 73% (100% Accurate) Drug and Alcohol Abuse 16% 81% Assisted Living 0% 13% ©

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Advanced Analytics and Decision Support Regional Cancer Center, Stockholm Cogni=ve Compu=ng Data readiness Similarity Analy=cs Predic=ve Analy=cs §  Collabora=on project between IBM and RCC §  Develop a tool for tracking treatment outcomes and how they are inﬂuenced by: –  Combina=ons of drugs –  Correla=ons with other diseases –  Varia=ons in treatment plans §  Diﬀerences in geography and socio-‐economics ©

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© 2014 International Business Machines Corporation © 2014 International Business Machines Corporation 19 Next frontier – man and machine working side by side © 2015 International Business Machines Corporation

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The IBM Institute for Businesses Value •  Series of papers written by IBM experts, informed by client experiences •  Assessment of trends, risks and opportunities •  Providing a headlight into the future Collaborating Beyond Traditional Boundaries – What convergence means for our health care systems Analytics Across the Ecosystem – A prescription for optimising healthcare outcomes http://www-935.ibm.com/services/us/gbs/thoughtleadership/