Scalable Data computing for Healthcare & Life Sciences Industry

Prashant Avashia

Senior Architect,

Storage & Software Defined Architectures

May 2017

Engaging the Healthcare

Consumer

of patients want to interact with doctors on mobile devices 80%

Enhance the Healthcare

Consumer

90% of patients say they would use an app “prescribed” by their doctor

The industry is facing real challenges

• Aging populations

• Increased incidence of chronic disease

• Empowered patients and consumers

• Unsustainable cost pressure

• Government policy, regulation and mandates

• Security & Data Privacy

What’s driving your strategy?

of patients want to become engaged in their own health and wellness 88%

90%

Encourage the Healthcare

Consumer

of patients would use an app prescribed by their doctor

|

3

Observations: 1. Existing IT infrastructures not designed to support aggressive patient data growth due to burden of chronic diseases on ageing populations,

unsustainable rise in demand for healthcare services, and significant increases in cost of services.

2. Existing IT infrastructures not designed to drive performance for systems that are continuously streaming data, finding correlations, creating

hypotheses, learning through experience and, ultimately, driving better decisions.

2015 Actuals Published

CAGR

2019 Projections

16 Hospitals 8.1% 20 Hospitals

5,500+ Physicians 9% 7,480+ Physicians

3,800 Beds 8% 5,000 Beds

1.9 Million Patient visits 8% 2.5 Million Patient visits

131,000+ in-patient surgeries 2.6% 143,000+ in-patient surgeries

24,800+ babies delivered. 3.3% 28,100+ babies delivered

564,000+ Emergency Room visits. 6.8% 717,500 Emergency Room visits

154,000 inpatient admissions 3.3% 174,400 inpatient admissions

1.2 Million lab tests, and diagnostic procedures 10.3% 1.7 Million lab tests, and diagnostic procedures

1800 Research studies, and published results 9% 2,400 Research studies, and published results

Data Source: 2015 Annual Report for a US based Healthcare Institution.

Patient Data Volumes: Aggressive Growth compels New Analytics approaches

Welcome to the era of Cognitive Health

|

4

The Data Explosion

Medical data is expected to double every 73 days by 2020.

The Great Unknown 80% of health data is invisible to current systems because it’s unstructured. Watson and IBM Storage can “see it.”

Protecting Images Hospitals are required by law to keep images for 7 years, but many keep them longer.

Broad Consensus 81% of healthcare executives familiar with Watson Health believe it will positively impact their business.

Source: http://www.ibm.com/smarterplanet/us/en/ibmwatson/health/

IBM Bluemix Garage 5

Data is the new basis for value creation.

Less than 10% can deploy digital intelligence at the pace needed

Source: FROM DATA TO DISRUPTION: INNOVATION THROUGH DIGITAL INTELLIGENCE

IBM-sponsored report by Harvard Business Review Analytic Services, 2016

say data

fragmentation

gets in the way 84% require faster

data & analytics

to compete 90%

Drive Business

Outcomes

Capture the Time Value

of Data

Change the Game

DATA-DRIVEN VALUE

are unable to

collaborate on

common data 80%

New Era Workloads Demand Next Generation Automation

Continuous Optimization

Policy

Policy Policy

Policy

Adaptive approaches to

infrastructure automation

Static and manual assignment

of IT resources

Software Defined Environment

Application Aware Policy

OLD NEW

Defined by Software for the Cloud

Move to more “Automation and Analytics” – IBM Strengths!

Infrastructure Level Services

Store everywhere. Run anywhere Ensure data availability, integrity and security

Client Challenge Phenomenal data growth. Data Management Challenges. Growth of on-premise data is challenging to manage Need the ability to store secure data offsite Need reliable, secure, cost-effective solution

Distilling the Client Requirements

Client Challenges High Speed for Big Data – Architectures to ingest high volume data at high speeds. Data Sharing for Global Collaboration Genomic Data is doubling every 12 months – budgets are not!

Software Defined Solution Features Universal data access A single authentication scheme Data dispersal and erasure code for faster rebuild times End-to-end checksum to catch errors Data protection through Snapshots, Replication, Backup, and/or Disaster Recovery Data encryption and cryptographically secure erase Integration to Spectrum Family

|

9

A scalable, high-performance data and file management solution, which optimizes heterogeneous storage resource utilization, while helping to reduce hardware and software costs as well as providing ease of administration through a single global namespace”

Virtualized Access to Data

Spectrum Scale Software Virtualized, unstructured data, Centrally

deployed and managed

Clients access data in parallel .

Heterogeneous fiber channel/block storage with different capacity and

performance attributes

9

Spectrum Scale is software:

• implementing a highly scalable distributed parallel POSIX (e.g Linux+Windows+AIX) file system,

• and building upon any block storage (from local disk to SAN-attached, not necessarily from IBM),

• with advanced data management features built in to it that go well beyond the capabilities of traditional file systems

• and with features layered on top of it to make that storage accessible through NFS, CIFS, Hadoop and Object protocols.

Spectrum Scale: What is it?

IBM Spectrum Scale is the Software defined

Infrastructure for Global Data Management

Leveraging IBM Software Defined Infrastructure

Modality Instruments

Hadoop/ Big Data

Electronic Health Records

Genome Sequencers Non Dicom

On / Off premises – Hybrid Cloud

New Workloads

Optimized Data

Flash Hybrid Tape Object

IBM Software Defined

Infrastructure Data placement on-demand & by policy

Resource Management

Protect investment in existing resources

Genomic Tools capture and control all clinical, genomic & Radiological Imaging data including DICOM images and unstructured data

Data access via global namespace that pools and optimizes storage resources

Data Where it Needs to Be When it Needs to Be there

Embrace New Workloads to gain new insights that create innovation

|

1

0

IBM Cloud Object Storage Redefines availability, security and economics of data storage

Always-on Availability

Tolerates even a catastrophic regional outage without down time or intervention. Continuous availability architecture. Legacy cloud providers place the burden of data management and cost for creating and maintaining an out of region second copy on the client.

Built-in Security

Protects against digital and physical breeches Provides strong data-at-rest confidentiality by combining encryption and information dispersal.

Better Cloud Storage Economics

More cost-efficient than competitors. Includes Enterprise class support, at no additional cost.

Simplicity

Immediate consistency (v. eventual consistency) makes application development simpler. Integrated with other cloud services in the IBM Cloud, IBM Bluemix, IBM Watson, IBM Video Services More flexible, open interfaces: Supporting both S3 and OpenStack Swift No “black boxes”: Full transparency of how the technology delivers durability, availability, security and more

IBM Spectrum Scale & IBM Cloud Object Storage Solution --Delivered in an Enterprise Imaging Environment

|

1

3

Scientific Computing in Biomedical Research Reference Architecture: For Personalized Medicine... With Imaging, Sequencing, Analytics

We are on a Transformative Journey to Cognitive Health

Environment

Variables

Traditional Departmental

Deployments

(Unstructured Data)

Enterprise Data Lakes delivering

Analytic Insights

(by IBM Spectrum Scale)

Cognitive Information

Architecture

(by IBM Watson)

Clinical Example Clinical Advice Tumor Mass suspected in the X-Ray

Clinical Informatics Guidance How many tumors/cancers of certain kind & size were treated in last six months?

Evidence based Medicine Is the cancer shrinking faster than other patient histories? Tailor clinical services if shrinkage is (or is not) occurring at the expected rate.

Architectural Topology Traditional Architecture Enterprise Imaging Archives to store unstructured data.

Software Defined Architecture Data Lakes supporting Analytic Applications.

Cognitive Solutions Architecture Leverages SDI as a foundation with flexible services – based on Natural language, Algorithms, Machine Learning & Analytical Reasoning capabilities based on learned experience

Results Busy work Unpredictable outcomes

Improved process & workflow efficiencies Higher quality of care & minimized capital expenditures.

Healthier, happier Populations Longer, more productive lives.

15 15

Notices and disclaimers

Copyright © 2017 by International Business Machines Corporation (IBM). No part of this document may be reproduced or transmitted in any form without written permission from IBM.

U.S. Government Users Restricted Rights — use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM.

Information in these presentations (including information relating to products that have not yet been announced by IBM) has been reviewed for accuracy as of the date of initial publication and could include unintentional technical or typographical errors. IBM shall have no responsibility to update this information. This document is distributed “as is” without any warranty, either express or implied. In no event shall IBM be liable for any damage arising from the use of this information, including but not limited to, loss of data, business interruption, loss of profit or loss of opportunity. IBM products and services are warranted according to the terms and conditions of the agreements under which they are provided.

IBM products are manufactured from new parts or new and used parts. In some cases, a product may not be new and may have been previously installed. Regardless, our warranty terms apply.”

Any statements regarding IBM's future direction, intent or product plans are subject to change or withdrawal without notice.

Performance data contained herein was generally obtained in a controlled, isolated environments. Customer examples are presented

as illustrations of how those customers have used IBM products and the results they may have achieved. Actual performance, cost, savings or other results in other operating environments may vary.

References in this document to IBM products, programs, or services does not imply that IBM intends to make such products, programs or services available in all countries in which IBM operates or does business.

Workshops, sessions and associated materials may have been prepared by independent session speakers, and do not necessarily reflect the views of IBM. All materials and discussions are provided for informational purposes only, and are neither intended to, nor shall constitute legal or other guidance or advice to any individual participant or their specific situation.

It is the customer’s responsibility to insure its own compliance with legal requirements and to obtain advice of competent legal counsel as to the identification and interpretation of any relevant laws and regulatory requirements that may affect the customer’s business and any actions the customer may need to take to comply with such laws. IBM does not provide legal advice or represent or warrant that its services or products will ensure that the customer is in compliance with any law.

Notices and disclaimers continued

Information concerning non-IBM products was obtained from the suppliers of those products, their published announcements or other publicly available sources. IBM has not tested those products in connection with this publication and cannot confirm the accuracy of performance, compatibility or any other claims related to non-IBM products. Questions on the capabilities of non-IBM products should be addressed to the suppliers of those products. IBM does not warrant the quality of any third-party products, or the ability of any such third-party products to interoperate with IBM’s products. IBM expressly disclaims all warranties, expressed or implied, including but not limited to, the implied warranties of merchantability and fitness for a particular, purpose.

The provision of the information contained herein is not intended to, and does not, grant any right or license under any IBM patents, copyrights, trademarks or other intellectual property right.

IBM, the IBM logo, ibm.com, Aspera®, Bluemix, Blueworks Live, CICS, Clearcase,

Cognos®, DOORS®, Emptoris®, Enterprise Document Management System™, FASP®, FileNet®, Global Business Services®, Global Technology Services®, IBM ExperienceOne™, IBM SmartCloud®, IBM Social Business®, Information on Demand, ILOG, Maximo®, MQIntegrator®, MQSeries®, Netcool®, OMEGAMON, OpenPower, PureAnalytics™, PureApplication®, pureCluster™, PureCoverage®, PureData®, PureExperience®, PureFlex®, pureQuery®, pureScale®, PureSystems®, QRadar®, Rational®, Rhapsody®, Smarter Commerce®, SoDA, SPSS, Sterling Commerce®, StoredIQ, Tealeaf®, Tivoli® Trusteer®, Unica®, urban{code}®, Watson, WebSphere®, Worklight®, X-Force® and System z® Z/OS, are trademarks of International Business Machines Corporation, registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the Web at "Copyright and trademark information" at: www.ibm.com/legal/copytrade.shtml.