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Watson Health Oncology
Peter MortensenWatson Health Executive, Nordics
Proliferation of medical
literature is accelerating
Strategic Context: Healthcare knowledge sources have grown beyond human cognition…
~700 K new scientific
articles / year
Institutional Knowledge & Best Practices
6 Terabytes
Per lifetime
60%
Exogenous Factors
1,100 Terabytes
Generated per lifetime
0.4 Terabytes
Per lifetime
30%
Genomics Factors
10%
Clinical Factors
… and vast amounts of data that can have a great impact on our health remains untapped.
IBM Watson Health // SOURCE: ©2015 J.M. McGinnis et al., “The Case for More Active
Policy Attention to Health Promotion,” Health Affairs 21, no. 2 (2002):78–93
Data GeneratedHealth Determinents
IBM Watson Health
• Understands, reasons, learns and interacts
• Extracts and derives meaning from structured and unstructured content – at scale
• Provides analyses across vast arrays of criteria to transform decision-making
• Dynamically updates hypotheses based on variable chains of evidence
• Harnesses entire bodies of knowledge
It begins with the power of Watson
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© 2016 IBM Corporation 6
Surface actionable insights from a longitudinal patient record
Assesses relevant information for patient discovery. Analyze evidence for treatment options
Reduce clinician time to identify trials by matching relevant attributes of a patient to the trial inclusion and exclusion criteria
Assist clinicians to determine driver alterations, analyze pathways and identify potential interventions
Improve
efficiency and
effectiveness of
MTRB
Identify trials
Increase
enrollment
Increase efficiency
Leverage cognitive insights that assist in diagnosis of medical images
Reduce
misdiagnosis
Improve
adherence to
evidence
reduce care
disparity
InvestigationalTherapies (CTM)
Standard of Care(Oncology)
GenomicInterpretation
Medical ImagingInsights
Improve Trial
Strategy
Analyze
Populations
Enable research organizations to determine which studies to open. Identify trial candidates across a population
InvestigationalStudies (CTMi)
Efficiently
transform large
data sets to
evidence
Use local, network or global data sets to improve patient outcomes (cohorts, toxicity, adverse reactions, etc)
RWEInsights
Insights PatientRecord
Cognitive Platform for Oncology
Solution Landscape for Oncology
7IBM Confidential
Watson for Oncology
Offering
Encapsulates the knowledge and experience of the
specialists at MSK to enhance clinical decision making
Cancer is one of the leading causes of death in the world, and in the next decade, demand for treatments is
expected to grow by 42% creating a shortage of 1500 oncologists. Meanwhile, medical information is expected to
double every 73 days by 2020, making it even more difficult to keep up with the latest treatment options.
Benefit
Provides oncologists assistance to make more
informed, personalized treatment decisions
8IBM Confidential
Watson for Oncology helps medical oncologists and their care teams address these challenges
61 y/o woman s/p mastectomy
is here to discuss treatment
options for a recently diagnosed
4.2 cm grade 2 infiltrating ductal
carcinoma…
Prioritized Treatment Options
+
Evidence Profile
Patient Case • Inclusion / exclusion criteria
• Comorbidities
• Contraindications
• MSK treatment preferences
• Drug information
• Published literature - studies, reports,
opinions from Textbooks, Journals,
Manuals, etc.
Evidence
Watson for OncologyKey Case
Attributes
Candidate Treatment Options
Supporting
Evidence
Use key attributes to find candidate
treatment options as determined by
consulting NCCN Guidelines and MSK
expertise
2
Search the corpus for supporting
evidence for each option
3Guidelines
Extract key attributes from the
patient’s case
1
Use Watson’s scoring algorithms
to prioritize treatment options
4
9IBM Confidential
10IBM Confidential
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