Turning Big Data into Presicion Medicine:

Real Life Examples

Ugur CANDAN – Chief Operating Officer SAP Turkey - @ugurcandan

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 2

The Challenge:Big Data, inaccessible through format, organizational and legislative boundaries

Diagnosis

Tumor

stage

Pathol.

ReportGenomic

markers

RadiotherapyTissue sample

Patient

Timeline

PubMed biomedical article

database23+ Mil. articles

Clinical trialsCurrently more than 30,000 recruiting on

ClinicalTrials.gov

Cancer patient records160,000 at

NCT Heidelberg

Clinical information management

systemsOften more than 50 GB

Human proteome160 Mil. data points (2.4 GB) per sample

3.7 TB raw proteome data on ProteomicsDB.org

Prescription data1.5 Bil. records from 10,000 doctors and 10 Mil. Patients (100

GB)

Human genome/biological data800 MB per full genome

15 PB+ in databases of leading institutes

Medical imaging dataScan of a single organ in 1s creates

10GB of raw data

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 3

SAP Industry Healthcare SolutionsUnlocking the value with award winning offerings

PreventionPrecisionTherapy

Care

Diagnosis, Decision Support & Monitoring

Platform for Personalized Medicine

• Enablement of Precision / Personalized Medicine

• Analyze massive volumes of relevant data (e.g. patients, clinical, omics,

third party)

• Structured and unstructured information

• SDKs/APIs for solutions and content from customers, partners, networks

Health Engagement • Care Collaboration, with patients and

consumers

• Engage your care network

• Motivate behavioral change

• Prevention and risk detection

Medical Insights• Patient cohorts and research

• Genome analysis

• Patient-trial matching

• Analytics; e.g. Predictive

SAP Patient Management

(SAP’s Industry Solution Healthcare – ISH)• Patient Experience and Clinical Delivery

• Drive operational excellence – from admission to bill

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 4

5© 2015 SAP SE or an SAP affiliate company. All rights reserved.

12,000 Çalışan

3,200 Bilim insanı

650,000 Hasta/yıl

1,4 B€ Gelir

600,000 Hasta

Basına veri kaydı

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 6Strictly Confidential

Outlook – Enabling the Network

GovernmentState

Centers

Physician

Hospital

Networks US

Lab

Instrument

Vendor

Life

Sciences

Hospital

Networks Europe

Global Content

and Services

Delivery

Trial Matching

Trial Analytics

Rare Cases Services

Standardized

Testing and

Reports

Guidelines

Benchmarking

Decision Support

Patient

Payor

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 7

Customer Use Case: ASCO CancerLinQ

Links to more information: Video SAP Teams with ASCO to Fight Cancer / SAP News / The SAP Newsroom / The Spin news show / All this content is on the SAP page

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 8

CancerLinQ Clinical User Portal

With permission

by ASCO/CLQ

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 9

Customer Use Case: SAP Medical Research Insights at the

Nationales Centrum für Tumorerkrankungen Heidelberg

Prof. Dr. Christof von Kalle

© 2015 SAP SE or an SAP affiliate company. All rights reserved.

Thank you