This document discusses the challenges of managing electronic medical record (EMR) systems and proposes using artificial intelligence to help address them. EMR systems are very large and complex with many integrated components supporting critical and diverse medical activities. Outages can put lives at risk. The infrastructure supporting EMR applications is also very complex. AI could help automate monitoring of this infrastructure, identify issues before they impact services, maintain service level agreements, and automate cross-team collaboration to resolve problems. It proposes using narrow AI focused on specific infrastructure elements to provide business impact avoidance, automated expertise, dynamic learning, and end-to-end correlation across the infrastructure.

1. AI4CLOUD
ARTIFICIAL INTELLIGENCE FOR PUBLIC,
PRIVATE & HYBRID CLOUDS
ENTERPRISE INFRASTRUCTURE MONITORING

2. 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.

3. AI4CloudHealthcare EMR Challenges
• EMR systems are composed
of very large, very complex,
highly integrated
components.
• While the Application architecture may
look like this………….

4. 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.

5. 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!

6. 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.

7. 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

8. 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

9. 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

10. 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.

11. 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

12. EMBEDDED
HUMAN 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.

13. AI4CLOUD
THE END