The document discusses how GE's Predix platform can be used in healthcare to leverage big data analytics. It provides background on Prasanth Salla and his experience developing healthcare software. It then outlines opportunities in healthcare like using machine learning to improve outcomes and transitioning to outcomes-based payment models. The document promotes GE Predix as an industrial IoT platform and cloud that can be used to develop secure applications for collecting and analyzing device and sensor data in healthcare. It provides examples of Predix components and services and how they can enable use cases like remote patient monitoring.

1. Big Data Analytics - Healthcare
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2. Introduction
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Prasanth Salla, MBA, has over 18 years of experience leading global teams to develop software in the
healthcare and telecommunication industries. Mr. Salla was the CTO for KloudScript, responsible for all
the software development activities and IT Infrastructure. He led a global team to develop a highly
scalable multi-tenant SaaS application.
Prior to KloudScript, he worked for GE Healthcare leading the Data Exchange Center of Excellence
focused on integration of large data sets from various health care systems at GE Healthcare. Over his 10
year tenure at GE Healthcare, Mr. Salla has served in various leadership roles to deliver software
compliant with HIPAA, PCI, and FDA standards. As a Principal Architect at GE, Mr. Salla led a global team
of software engineers to develop as Integration product used at over 5000 hospitals. He also played a
vital role in defining the data exchange strategy in Predix for Healthcare, GE’s next generation
platform. Mr. Salla has experience in management of IT operations, software outsourcing, team
development, and product delivery of cloud based, multi-tenant applications.
Mr. Salla earned his MBA from the Booth School of Business - University of Chicago, a Master of Science
in Computer Science from DePaul University and Bachelors in Computer Science from Osmania
University in India

3. Healthcare Opportunities
• Trail-and-Error => Data-driven deduction
• Remembering 10,00+ diseases and thousands of papers => Machine
learning to improve outcomes
• Rising healthcare costs => Telemedicine
• Fee-for-service => Outcomes based payment
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4. Why GE Predix?
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12. GE Devices
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13. GE Predix Platform & Cloud
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• BizOps
• DevOps
• Community
Built by
• GE
• Consumers
• Customers
• Scalable
• Elastic
• Reliable
• Trusted end-
to-end
- Stakeholders

16. GE Predix Components
Edge Software and
Services
• Machine
• Connectivity
Data Management
Services
• Asset Data
• Time Series
• SQL Database
• Key-Value Store
• Message Queue
• BLOB
Analytical Services
• Analytics Catalog
• Analytics Runtime
• Analytics User
Interface
• GeoEnhance
Security Services
• User Account
and
Authentication
• Access Control
Service
• Tenant
Management
App Services
• Views
• Workflow
Mobile Services
• Mobile SDK
• Mobile Service
DevOp Services
• Logging
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17. GE Predix USE CASE
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18. Business Case for Leveraging GE Predix Platform
• Better User Access Control
• End-to-End Security
• Secure Tenant management
• Geo capability is plus
• Centralized Application Logging
• Integrated Analytics Platform
Secure and Faster Delivery!
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19. Questions?
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20. Contact Information
Email: prasanth.salla@gmail.com
Phone: 224 399 6009
LinkedIn: https://www.linkedin.com/in/prasanthrs
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21. References
https://www.predix.io/catalog/
http://www.slideshare.net/GETurkiye/predix-cloud
http://fortune.com/2012/12/04/technology-will-replace-80-of-what-
doctors-do/
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