Big Data, Analytics, Intelligence: Potenziale und Nutzen

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1 Dr. Matthias Kaiserswerth Vice President, Europe and Director, IBM Research Big Data, Analytics, Intelligence: Potenziale und Nutzen

2 Market Forces Driving Health Care Transformation Source: If applicable, describe source origin 2

3 Data Trends zettabytes of data Volume Velocity Variety Veracity Terabytes to exabytes of existing data to store and process Streaming data, milliseconds to seconds to respond Structured, unstructured, text & multimedia Uncertainty from inconsistency, ambiguities, etc.

Streaming data, milliseconds to seconds to respond Structured,

4 Healthcare Data Sets Healthcare data assets Claims Health Plans Pharmacy Providers Patient Supply Chain Charts Lab Tests Adverse Event Finance EMR Research Devices Digital Hosp. Social IBM Corporation

Charts Lab Tests Adverse Event Finance EMR Research

5 Analytics Driven Healthcare Enterprise Optimization Predictive Analytics BI Reporting and Ad Hoc Analysis What is the best choice? What will happen? What will the impact be? What happened? When and where? How much? Current analytics level Transaction reporting Data integration Data warehouse Decision support analytics Predictive analytics Basic reporting Spreadsheets Dashboards Clinical data repositories Departmental data marts Enterprise analytics Evidence-based medicine Clinical outcomes analytics Personalized healthcare Dynamic fraud detection Patient, member behavior 5

Current analytics level Transaction reporting Data integration Data warehouse Decision support analytics Predictive analytics Basic reporting

6 Big Data can accelerate the healthcare transformation Big Data solutions accelerate healthcare transformation Evidence Based Medicine Evidence based Healthcare Models driven by Health outcomes. Analyzing Care experience requires inspecting structured and unstructured data Health Outcomes Provider & Staff shortage demands workforce productivity & Efficiency improvements Knowing patients 360 implies looking at all their data to provide optimal care Patient Centered Care Knowing patient s lifestyle and habits helps drive optimal outcomes and is part of providing comprehensive care pre and post visit. Disease Management Conducting disease management and surveillance requires exhaustive processing of structured and unstructured data to identify chronic and reemerging infectious diseases IBM Corporation

implies looking at all their data to provide optimal care Patient Centered Care Knowing patient s lifestyle and habits helps drive optimal outcomes and is part of providing comprehensive care pre and

7 Disease Surveillance with Spatio Temporal Epidemiological Modeler Combat illness and infectious diseases in realtime with smarter data tools for public health. The focus is to help contain global outbreaks of dengue fever and malaria by applying the latest analytic models, computing technology and mathematical skills on an open-source framework. 7

The focus is to help contain global outbreaks of dengue fever and malaria by applying

8 Meet Watson In 2011, Watson competed on Jeopardy! against former winners and won. Watson had access to 200 million pages of structured and unstructured content consuming four terabytes of disk storage, but no internet connection. 8

9 NYGC and its medical partner institutions plan to evaluate Watson s ability to help oncologists develop more personalized care to patients with glioblastoma, an aggressive and malignant brain cancer International Business Machines Corporation IBM Confidential 9

patients with glioblastoma, an aggressive and malignant brain

10 2014 International Business Machines Corporation Giving Watson the Power to See - Medical Sieve: A smart decision support system for radiologists. Exploits the deep analytics of Watson. IBM Confidential 10

smart decision support system for radiologists.

11 Think About This Doctors will routinely use your DNA to keep you well! The time it takes to find the right treatment could be reduced from weeks and months to just days or even minutes through the cloud! Computers will crunch DNA data of both the patience and the tumor. Then cognitive systems will scour huge repositories of medical records and publications to help doctors personalize treatment plans! Imagine a system that can determine the specific mutations of your tumor. These computers could then quickly identity which combination of medications your doctor could consider will be most effective in treating your cancer and your! all of this in the next five years thanks to the cloud, cognitive systems and Big Data.! 11

Computers will crunch DNA data of both the patience and the tumor.

The predictive power of Big Data in healthcare

Charlie Schick, PhD Big Data, Healthcare and Life Sciences The predictive power of Big Data in healthcare 2012 IBM Corporation Market Forces Driving Health Care Transformation Increasing incidence and