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CLQ Overview Deck

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1 11.16.2015 Big Data and The Future of Cancer Care Kevin Fitzpatrick CEO CancerLinQ
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Page 1: CLQ Overview Deck

111.16.2015

Big Data and The Future of Cancer Care

Kevin Fitzpatrick CEO CancerLinQ

Page 2: CLQ Overview Deck

Origins of CancerLinQ:

Page 3: CLQ Overview Deck

The Challenges

1. Learn from every patient2. Harness data in powerful new ways

Page 4: CLQ Overview Deck

Genomics

Transcriptomics

EpigeneticData

Metabolome

Environment

Behavior

PatientPreference

Co-morbidities

Access to novel data resources brings new insights regarding the patient’s internal environment.

Mobile Health data resources help us to understand unique aspects of the patient the family and their community

Precision Medicine

Personalized Medicine

Page 5: CLQ Overview Deck

One disease 7 molecular drivers—and more

to be discovered

Lung cancer: from one cancer to many

KRAS

EGFR

BRAF

PIK3CA

AKT1

HER2

EML4-ALK

Unknown

20141986

Page 6: CLQ Overview Deck

Evolution in Complex Disease Management

Genetically based

Immune system-boosting

treatments

Role of metabolome

in tumor growth

Surgery

Radia-tion

Chemo-therapy

Multi-disciplinarycancer care Biology based, patient specific care

Page 7: CLQ Overview Deck

Only3% enroll in clinical trials.

3%

1.7people diagnosed with

cancer in the US

MM

Page 8: CLQ Overview Deck

90%of patients inNCI trials are

white3

23%of the

US POPULATIONIs non-white3

vs40%

of kidney cancer

patients were not healthyenough to qualify for

the trials that supported the approval of their treatments2

25%of

clinical trialpatients are

65+ 1

61%of

real-worldpatients are

65+ 1

vs

… and everyday patients tend to be …

less healthy… older… and more diverse…

…than clinical trial patients.1. Lewis JH, et al. Participation of patients 65 years of age or older in cancer clinical trials. J Clin Oncol. 2003;21:1383-1389. http://jco.ascopubs.org/content/21/7/1383.full.pdf.2. Mitchell AP, et al. Clinical trial subjects compared to "real world" patients: generalizability of renal cell carcinoma trials. J Clin Oncol. 2014;32(suppl):6510.3. Taking action to diversify clinical cancer research. National Cancer Institute Web site. http://www.cancer.gov/ncicancerbulletin/051810/page7. Accessed July 23, 2014.

Page 9: CLQ Overview Deck

Data

Knowledge base

Rapid learning

Understanding

Real-world applicability

From

Dat

a to

Lea

rnin

g

Page 10: CLQ Overview Deck

12

Vanguard Practice - SouthCoast Cancer Center

Page 11: CLQ Overview Deck

CancerLinQ Clinical User PortalMy Favorites

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Patient Care TimelineMy Favorites

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Patient Care TimelineMy Favorites

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Real-Time Quality Measurement and Improvement

My Favorites

Page 15: CLQ Overview Deck
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INFORMED: Framework

Transformation*

Formal submission

Data exported for analysis

Data exchange/visualization dashboard*

Sponsor

Transformation* as needed

*R&D and software development

Real world data working group

Clinical Knowledge

Base

Page 17: CLQ Overview Deck

When Deployed CancerLinQ Will:

Unlock, assemble, and analyzede-identified cancer patient medical records

Uncover patterns that can improve patient care

Allow doctors to compare their care against guidelines and the care of their peers

Provide guidance by identifying the best evidence-based course of care

Page 18: CLQ Overview Deck

20

Improving Quality for Patients, Providers, ResearchersCancerLinQ – improving QUALITY of care and enhancing outcomes; additional

benefits:PatientsImproved outcomesClinical trial matchingSafety monitoringReal-time side effect managementPatient-reported outcomes Evidence based care

ProvidersReal-time “second opinions”Observational and guideline-driven clinical decision support Real-time access to resources at the point of careQuality reporting and benchmarking

Research/Public Health

Mining “big data” for correlations and new insightsComparative effectiveness researchHypothesis-generating exploration of data Identifying early signals for adverse events and effectiveness in “off label” use

Page 19: CLQ Overview Deck

21

Drawing Clinical Insights

Jane C. Wright, MD

Big Data will revolutionize

modern oncology the way the microscope

revolutionized Infectious Disease

Page 20: CLQ Overview Deck

SAP Foundation for Health

Providing breakthrough capabilities for healthcare and life sciences applications from SAP and its partners, while reducing time to value and the total cost of ownership.

Support for any device

Partner apps for healthcare

and life sciences

SAP Medical Research Insights Health engagement

SAP Foundation for Health based on SAP HANA

Integration services

Spatial

Business function library

Search Text mining

Predictive analysis library

Databaseservices

Stored procedure & data models

Planning engine Rules engine

Application and user interface services

Genomics

Healthcare integration services

Page 21: CLQ Overview Deck

23CancerLinQ Confidential 11.16.2015


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