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1. The Datanex™ Platform Cloud Computing for Healthcare Peter Schwoerer Datanex Product Specialist Sentry Data Systems, Inc. August 11, 2009
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3. 5 Essential Characteristicsof Cloud Computing On-demand self service – Unilaterally provision computing capabilities. Network Access – Network accessed through standard mechanisms. Pooled Resources – Supports multitenant model Rapid Elasticity – Rapid provisioning and scaling down of resources Measured Service – Cloud systems automatically control and optimize resource use as needed. Pay for what you need and use, only!
4. Cloud Delivery Models Software as a Service (SaaS) – User provider’s applications over a network Platform as a Service (PaaS) – Deploy customer created applications to a cloud Infrastructure as a Service (IaaS) - Rent processing, storage, network, capacity, and other fundamental computing resources
6. Deployment Models Private Clouds – Cloud infrastructure is solely for one organization, on or offsite Community Cloud – Cloud infrastructure is shared by several organizations Public Cloud – Infrastructure is made available to the general public or industry groups Hybrid Cloud – Infrastructure is a composite of two or more cloud types
7. Hallmarks of Cloud Computing Virtualized Components On-demand Provisioning On-demand Scalability Accessed and Delivered via the Network Utilization Based Billing
8. Cloud Infrastructure vs. Cloud Platforms Cloud Infrastructure Closely matches physical components (machines, RAM, CPU, storage space) Interchangeable with physical machines “Virtual Datacenter” Cloud Platforms Abstracted infrastructure components Focused on deploying applications APIs used by developers to access Cloud Resources and Data Structures
9. Examples of Different Cloud Offerings Infrastructure Amazon Web Services (EC2 and S3) GoGrid Platforms Google AppEngine Salesforce Facebook
11. What’s Required of a Healthcare Cloud? Security SAS70 HIPAA PCI Secure Connectivity VPNS Hospital Claims Processing Pharmacy Claims Processing Encryption Aggregation of Disparate Data Sets from Multiple Environments and Locations Support of Healthcare Formats Support of Healthcare Code Sets
12. The Datanex™ Platform Processes hundreds of millions of transactions per day (real-time and batch) Brokers connections between hundreds of healthcare entities Hospitals Pharmacies Claims Clearinghouses
13. The Datanex™ Platform Supports Three Sentry Data Systems applications for hundreds of clients Over 10 Million Patients, comprised of 2 Billion Patient Health Record Units (HRUs) More than 50,000 Providers, comprised of over a Million Health Record Units (HRUs)
14. The Datanex™ Platform is Ideal Ideal application of the Datanex™ Platform includes: Cutting Costs Related to TraditionalServer Maintenance, Procurement, and Deployment Securely communicating between different locations and applications Knitting Together Multiple “Silos” of Information Quickly Building Complex Healthcare applications Large Organizations that need flexibility and scalability Small Organizations that need to leverage the advantages of a large platform
15. Datanex™ Platform Components Infrastructure GRID – Virtual Servers NET – Network Transport Platform ETL – Extract, Transform, Load QDC – Quantum Data Construct API –Application Programming Interface
16. Datanex™: GRID Virtual Linux and Windows Servers True on-demand deployment via web or API Encrypted virtual machine instances (Linux only) Snapshot backup service Live Migration within Geographical Zones Multiple Geographical Zones Flexible sizing of instances based on RAM, Hard Disk, CPUs Static IP Addresses per instance KVM Hypervisor
17. Datanex™: NET Brokers formats such as HL7, EDI X12 (832, 850, 855, 856, 810, 837, 835), NCPDP, Flat Files, XML Based Formats, HCFA, UB92, UB04. Reliable Transport Secure Connections
18. Datanex™: ETL High Performance Extract, Transform, Load infrastructure Supports all major Hospital Information Systems (HIS) Quality Control of data feeds built in and proactively monitored Processes millions of transactions per day
19. Datanex™: QDC Distributed non-relational database. Processes data as it arrives according to predefined queries, distributes the results across available nodes. Queries run in parallel across all available nodes, and provide astonishing performance not possible with relational databases.
20. Datanex™: QDC New queries are defined, processed by all nodes, and subsequently run on all incoming data. Denormalization of Health Record Units (HRUs) means that aggregates and fast seeks are possible across the cluster.
21. Datanex™: API APIs are provided in a variety of modern languages (C/C++, Ruby, PHP, .NET, JAVA, Python) Application registration and delivery Query QDC according to your needs Monitor your GRID and other platform instances
22. About Sentry Sentry Data Systems, Inc., headquartered in Deerfield Beach, FL, serves clients in over 25 states and its systems process millions of healthcare transactions daily. Contact Info: Peter Schwoerer pschwoerer@sentryds.comwww.SentryDS.com t: 800.411.4566 x.2518