Atlanta Cloud Users Group

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    Atlanta Cloud Users Group - Presentation Transcript

    1. The Datanex™ Platform
      Cloud Computing for Healthcare
      Peter Schwoerer
      Datanex Product Specialist
      Sentry Data Systems, Inc.
      August 11, 2009
    2. Overview
      Cloud Computing Introduction
      Terminology
      Hallmarks of Cloud Computing
      Infrastructure vs. Platforms
      Why Cloud Computing?
      Requirements of a Healthcare Cloud
      The Datanex Platform: The Healthcare Cloud
      Datanex Overview
      Datanex Components
      • About Sentry
    3. Cloud Computing Defined
      Cloud computing is a model for enabling convenient, on demand network access to a shared pool of configurable resources that can be rapidly provisioned and released with minimal management effort or service provider interaction.
    4. 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!
    5. 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. Delivery Model Architectures
    7. 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
    8. Hallmarks of Cloud Computing
      Virtualized Components
      On-demand Provisioning
      On-demand Scalability
      Accessed and Delivered via the Network
      Utilization Based Billing
    9. 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
    10. Examples of Different Cloud Offerings
      Infrastructure
      Amazon Web Services (EC2 and S3)
      GoGrid
      Platforms
      Google AppEngine
      Salesforce
      Facebook
    11. Why Cloud Computing?
      Cheaper
      Deployment
      Operation
      Startup Costs
      Easier
      Deployment
      Scalability
      Safer
      Faster
      More Reliable
    12. 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
    13. 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
    14. 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)
    15. 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
    16. Datanex™ Platform Components
      Infrastructure
      GRID – Virtual Servers
      NET – Network Transport
      Platform
      ETL – Extract, Transform, Load
      QDC – Quantum Data Construct
      API –Application Programming Interface
    17. 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
    18. 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
    19. 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
    20. 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.
    21. 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.
    22. 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
    23. 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

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