ibm watson’s next step: health - zorg in het umcg · ibm watson’s next step: health all about...
TRANSCRIPT
Introduction speaker
Dr Nicky S. Hekster Technical Leader Healthcare & LifeSciences
IBM Nederland BV Johan Huizingalaan 765 1066 VH Amsterdam The Netherlands Mobile: +31620303371 [email protected]
@nicky56
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
3
2
1
Watson is an example of cognitive computing
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
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
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
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)