Epic EMR - Root Cause Fault Detection in complex Healthcare Records systems
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Transcript of Epic EMR - Root Cause Fault Detection in complex Healthcare Records systems
AI4CLOUDARTIFICIAL INTELLIGENCE FOR PUBLIC, PRIVATE & HYBRID CLOUDS
ENTERPRISE INFRASTRUCTURE MONITORING
AI4CloudHealthcare EMR Challenges• EMR systems are composed of very
large, very complex, highly integrated components.
• High degree of real-time mission critical activities heavily dependent on it staff.
• Outages literally put lives at risk.
• Broadly dispersed and highly diverse user community
• Multiple types of sophisticated users (clinicians, doctors, surgeons, governance, finance)
• Functions are spread across different departments with different requirements and multiple record types.
• Legacy systems are often intertwined with brand new state of art storage subsystems and applications.
AI4CloudHealthcare EMR Challenges• EMR systems are
composed of very large, very complex, highly integrated components.
• While the Application architecture may look like this………….
AI4CloudHealthcare EMR Challenges• ….The IT infrastructure to support it
looks more like this.
• The biggest challenge in Healthcare IT Management today is correlating Application health with specific infrastructure conditions.
AI4CloudSolving The Healthcare EMR Challenge
• Increasing complexity demands a new approach
• The same broad category of Artificial Intelligence solving current medical challenges can be leveraged to address today’s IT challenges!
AI4CloudNarrow AI for IT Management• BUSINESS IMPACT
AVOIDANCE• Automatically identify resiliency
and performance issues before they affect business service.
• MAINTAIN SLA’S • Automate excellent SLA
compliance.
• AUTOMATE WAR ROOM STYLE RESOLUTIONS• Automate cross-team
collaboration in real time.
• REDUCE REDUNDANT LABOR COSTS• Eliminate reactive team-based
troubleshooting.
• FREE STAFF AUGMENTATION• Use built in automated human
intelligence to cover gaps in skillsets.
• Virtualization, routing, switching, firewalls, storage, etc.
AI4CloudAI FOUNDATION• INDUSTRY LEADING ARTIFICIAL
INTELLIGENCE
• ELIMINATES TROUBLESHOOTING FOR COMMON PROBLEMS
• AUTOMATED HUMAN EXPERTISE
• DYNAMIC LEARNING
• HUMAN EXPERTISE AT COMPUTER SCALE & SPEED
• FOUNDATION FOR COALESCING ELEMENT MANAGERS
• END TO END CORRELATION
AI4CloudArtificial Intelligence For:• Private And Hybrid Clouds• Business Impact Avoidance• Docker Containers• NSX/NFV• Hyperconverged Infrastructures• Application Services• Load balancers, Webservers,
Databases, Etc.• Multi-vendor Storage Platforms• Clusters - VMware, Microsoft, Veritas• Virtualization – Server, Network &
Storage
AI4CloudTOPOLOGY EMBEDDED AI• Business Impact Modeling
• In this diagram we present a simple outline of a Radiology Department that depends on multiple Applications.
• Automated Intelligence• All of the infrastructure Elements in complex
dynamic Healthcare infrastructures are Discovered, Modeled and Analyzed Automatically.
• Dynamic Learning• The Topology automatically stays in Sync with
dynamic changes across the entire Enterprise
• Easy-to-implement Business Impact• Simply connect Business Objects directly to
Applications• The software understands all subtending
dependencies
• Powerful Visualization Technology• Views are automatically scoped to render directly
connected objects• Hides the complexity of the underying or
overlying objects.• Eliminates the “Ball of String” view problems
AI4CloudAutomated Intelligence• In this example we show that
there are a variety of conditions in the Data Center infrastructure hosting the Radiology Department.
• As you will see in the upcoming demo slide, only one condition needs immediate attention in order to restore resiliency to Radiology Business Services.
• Thanks to Business Impact, all stakeholders know in real-time exactly what the problem is.
• What’s more important is they know how they are impacted.
AI4CloudPowerful Visualization Technology• Views are
automatically scoped to render directly connected objects
• Smart Visualization hides the complexity of underlying objects.
• Eliminates the “Ball of String” view problems inherent in other Management Applications
EMBEDDEDHUMAN INTELLIGENCE• BUSINESS IMPACT AVOIDANCE
• Radiology has a service “AtRisk”• In this example it is due to reduced
redundancy in the Isilon Image service
• EMBEDDED INTELLIGENCE• Using built-in automated human
intelligence, the software identifies the impact and separates the problem from the symptoms automatically.
• It then routes Relevant information to the appropriate stakeholders without any need for manual “problem routing” rules.
• AUTOMATE WAR ROOM STYLE RESOLUTIONS• Automate cross-team collaboration in
real time.• The Radiology team immediately knows
the Radiology Service status and who owns the problem.
• REDUCE REDUNDANT LABOR COSTS• The Web Admin knows immediately
who his HTTPService outage affects and how it does or does not impact the business.
AI4CLOUD
THE END