IBM Watson’s Next Step: Health All About the Data

January 21st 2016, Groningen

Introduction speaker

Dr Nicky S. Hekster Technical Leader Healthcare & LifeSciences

IBM Nederland BV Johan Huizingalaan 765 1066 VH Amsterdam The Netherlands Mobile: +31620303371 n.s.hekster@nl.ibm.com

@nicky56

ANNABELLE

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Data is growing exponentially It demands new approaches in both technology and strategy

We are here

44 zettabytes

80% unstructured data

2015 2020

20% structured data

2010

Non-standardized data and numbers, free text, speech, video, images, pictures, …

Numbers (birth date, lab values, days in hospital, financial, …) , spreadsheets, standardized data or datamodels (SNOMED, LOINC, ICD-9, DICOM, …), etc..

Medical information doubles every 5 years. By 2020 it is expected to double every quarter.

80% of the healthcare professionals spends at most 5 hrs/month to keep abreast of his/her domain

80% of the information is unstructured

Only 20% of the knowledge doctors use is evidence based: 1 out of 5 diagnoses are wrong or incomplete.

Healthcare and Lifesciences professionals are suffering from Infobesity

Big Data & Analytics Data Mining, Optimization, Text Analytics

Artificial Intelligence Machine Learning, Natural Language Processing, Algorithms & Theory

Cognitive Experience

HCI, Speech, Translation, Machine Vision, Visualization

Cognitive Knowledge

Knowledge Representation, Ontologies, Semantics, Context

Computing Infrastructure

High Performance Computing, Distributed Systems, Programming Models & Tools

IBM Watson

Understands natural

language and human speech

Adapts and Learns from

user selections and responses

Generates and evaluates

hypothesis for better

outcomes

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Watson is an example of cognitive computing

Watson wins Jeopardy – February 2011

Mayo Clinic

Selected Watson to analyze EMRs for Clinical Efficiency and

Effectiveness Program

Department of Veterans Affairs

Selected Watson to analyze EMRs in a demo project

Bumrungrad International Hospital

5 year agreement for Watson for Oncology

Watson for Oncology, trained by Memorial Sloan Kettering

available in clinical use in lung, breast, colon and rectal cancer

Baylor College of Medicine Published results of use with Watson Discovery Advisor – identified 7 targets for P53

activation within weeks

Watson Genomics Advisor Secured 13 Cancer and

academic medical centers for beta testing

MD Anderson Introduced proprietary

solution with Watson for clinical use for Leukemia and

Molecular Targeted Therapies

Mayo Clinic Completed testing with Clinical Trial Matching for lung, breast,

colon and rectal cancer

Manipal Hospitals

Selected Watson for Oncology to identify evidence-based treatment options among

200.000 patients/year.

Ongoing Training Partner

Watson Cognitive in Medicine

Watson helps healthcare professionals

To Information To Knowledge and Wisdom

Cognitive Computing

From Data

Analytics

Observe --> Interpret --> Evaluate --> Decide

R&D

Demonstration

Commercialization

Health and Lifesciences Applications

IBM Research Project

(2006 – )

Jeopardy! Grand Challenge

(Feb 2011)

Watson for

Healthcare (Aug 2011 –)

Watson Health Group (April 2015 – )

Watson for Financial

Services (Mar 2012 – )

Expansion

Internal start-up division

Watson IoT Group

(Jan 2016 – )

Internet of Things

Applications

Brief history of IBM Watson

Watson Group

(Jan 2014 – )

Cross-industry Applications

IBM Watson Health // ©2015 International Business Machines Corporation

When was this invented?

1816

Wearables

Determinants of health – the holistic view During our lifetime

20%

10%

70%Clinical data 0.4 TB Medical reports, claims, payments, medication history, lab results, episodic data, …

Exogenous data 1100 TB Behavioral, socio-economical, lifestyle, environmental, psychological, nutrition, exercise, metabolism, …

Genetics data 6 TB Endogenous, proteomics, metabolomics, micro-arrays, …

Sources: "The Relative Contribution of Multiple Determinants to Health Outcomes", Lauren McGover et al., Health Affairs, 33, no.2 (2014) "J.M. McGinnis et al., “The Case for More Active Policy Attention to Health Promotion,” Health Affairs 21, no. 2 (2002):78–93

IBM Watson Health – an open platform for ecosystem partners

Insight, data, solutions

Crowd-sourced personalization of health and wellness

Watson gains ability to “see” Acquisition of Merge Healthcare, on October 13th 2015

Planned acquisition of Merge brings 7500 new healthcare sites along with a growing body of medical images to Watson Health.

The IBM vision is that organizations could integrate medical images with other sources of health data to generate new insights to help physicians with optimal, more personalized patient care decisions.

Current diagnosis based on imaging alone or with limited context

Clinical Records

Knowledge

IBM Cognitive Capabilities

Imaging

Providing evidenced based options

IBM combines multiple data sources and cognitive capabilities to assist the physician

+ +

Applying cognitive tools to medical imaging will help assist medical experts

Watson Developer Cloud APIs, Bluemix, Softlayer

The creation of cognitive apps

IBM Bluemix PaaS platform

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Relationship Extraction

Questions &

Answers

Language Detection

Personality Insights

Keyword Extraction

Image Link Extraction

Feed Detection

Visual Recognition

Concept Expansion

Concept Insights

Dialog Sentiment Analysis

Text to Speech

Tradeoff Analytics

Natural Language Classifier

Author Extraction

Speech to Text

Retrieve &

Rank

Watson News

Language Translation

Entity Extraction

Tone Analyzer

Concept Tagging

Taxonomy

Text Extraction

Message Resonance

Image Tagging

Face Detection

Answer Generation

Usage Insights

Fusion Q&A

Video Augmentation

Decision Optimization

Knowledge Graph

Risk Stratification

Policy Identification

Emotion Analysis

Decision Support

Criteria Classification

Knowledge Canvas

Easy Adaptation

Knowledge Studio Service

Statistical Dialog

Q&A Qualification

Factoid Pipeline

Case Evaluation

The Watson that competed on Jeopardy! in 2011 comprised what is now a single API—Q&A—built on five underlying technologies.

Since then, Watson has grown to a family of 28 APIs.

By the end of 2016, there will be nearly 50 Watson APIs— with more added every year.

Natural Language Processing

Machine Learning

Question Analysis

Feature Engineering

Ontology Analysis

Catalog will grow from 28 to 50 APIs (2016)

Some Watson Ecosystem Partners in Healthcare & Lifesciences

IBM Watson Health

© 2015 International Business Machines Corporation 26

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