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Impact of
Cloud
Computing
on Healthcare
Current Market Dynamics
Market Dynamics
1. Escalation of
consumerism
2. Impact of
healthcare
regulation and
restructuring of
financial risks
3. Influence of
digitalization
4. Focus on
preventive
healthcare
5. for medical
practice and
healthcare
delivery
transformation
Impact
• Traditional healthcare mechanisms
augmented with digital options
• Increased technology investment
to accelerate healthcare
digitization
• Shifting of roles played by
incumbent healthcare actors
Growing importance of data
integration & comparative analysis
• Accrual of medical knowledge &
practice improvement accelerated
• New business models for lower
cost and better efficiency
Benefits of Cloud Computing for Healthcare
Economic Operational Functional
Economic
• Cost flexibility
• OPEX vs. CAPEX
• Reduced IT resource expenses
Operational
Increased scalability
Improved security & privacy
CSPs employ expert professional staff
Functional
• Enhanced interoperability & integration
• More easily share information
• Rapid development & innovation
• Support for mobile & IoT devices
• Sophisticated analytic capabilities
High Value Cloud
Computing Services
for Healthcare
Population Health Management
Care Management Support
Diagnostic Support
Image Handling Service
Medical Practitioner Assistance
Patient Connectivity
Data Distribution Services
Laboratory Services
Clinical Research
Considerations
for Leveraging
Cloud
Computing for
Healthcare
Technical Area Considerations of Cloud Computing
Privacy & Security Strong cloud service agreements (CSA) must be established
Awareness of where & how ePHI is moved, handled &
stored
Ability to track creation, modification and deletion of ePHI
Use of third-party authentication highly recommended
Background screenings for CSP personnel who “touch”
ePHI
Regulation & Compliance Healthcare entity responsible for compliance
Require CSP to contractually agree to maintain all ePHI in
adherence with government standards and regulations
Request CSP certifications (HIPAA, ISO/IEC 27001, etc.
Service Reliability KPIs for reliability/performance must be defined &
monitored Disaster recovery & change management is
critical
Integration,
Interoperability,
Portability
Standard healthcare interfaces and data models facilitates
migration to different CSPs
Ensure compatible business and operational processes &
smooth integration with existing enterprise systems
Standards Understand available standards and CSP adherence
Critical standards that impact healthcare include Continua
Health Alliance, ISO TC 215, ISO/IEE 11073, HL7, HIMSS,
HITSP
Guidance for Leveraging Cloud Computing in
Healthcare
Prescriptive series of steps customers should
take to ensure successful deployment of
cloud-based healthcare solutions
7 Steps to Ensure Successful Deployment
1. Build the
business case for
cloud computing
2. Prioritize
specific cloud-
based
healthcare
solutions
3. Determine
cloud
deployment &
service models
4. Address
security and
privacy
requirements
5. Integrate with
existing
enterprise
systems
6. Negotiate
CSAs and
monitor KPIs
7. Manage the
cloud
environment
Step 1: Build the business case for cloud
computing
Considerations
Automate
management
Orchestrate
virtual assets
Provide ‘built
in’ local/global
disaster
protection
Deliver real-
time business
intelligence
Enable IoT
augmented
patient care
Leverage Big
Data analytics
& cognitive
assistance for
medical
professionals
Economies of
scale
Flexible
payment
models
Recommendations
• Complete an application / workload
assessment study
• ID services that can be migrated to cloud
• Determine which applications can be
replaced with available cloud services
• ID entirely new capabilities that can be
provided by cloud services
• Barriers of entry to cloud-based healthcare
services have disappeared
• Prevalence of SaaS offerings & improved CSAs
now available Ensure best service category
& deployment model selected to fit business
objectives
• Network connectivity & security are critical
dependencies
Step 2: Prioritize specific cloud-based
healthcare solutions
Develop a Strategy
• Avoid platform bias
Avoid
• Understand your current state
Understand
• Define your future state
Define
• Select cloud service provider(s)
Select
• Plan a phased approach
Plan
• Establish a proof of concept
Establish
• Scale to production
Scale
Cloud Drivers / Use Cases
• IT cost reduction
• Connected healthcare
• Big Data Analytics Telemedicine
• IoT enabled healthcare
• Diagnostics support
• DevOps
• Disaster Recovery as a Service
• Backup as a Service
Step 3: Determine cloud deployment & service
models
Deployment Model Considerations
Security Data
classification
Business
model
Target
operating
model
Application
architecture
Cost Performance
Service Model Considerations
• Depends mainly on existing in-house solutions and IT
skills
• SaaS preferred when in-house healthcare service
does not exist, and IT skills limited
• PaaS is a good option when in-house IT skills
available - acquire new healthcare services &
enhance services to satisfy unique requirements
• IaaS most cost-effective alternative when HCO
looking for additional storage and compute capacity
to support existing inhouse healthcare solutions
Step 4: Address security &
privacy requirements
• Security is shard responsibility between cloud customers and cloud
service provider
(NIST 800-160, CSA, ISO/IEC 27017, ISO/IEC 27018)
• Understand regulations that govern the privacy and security of
healthcare data
(HIPAA and GDPR)
• Physical, administrative, and technical safeguards must be
addressed in cloud environment
(Mobile / IoT devices pose challenges, Encryption and two-factor
authentication are key technical safeguards)
• Do not collect ePHI unnecessarily
• Do not allow ePHI to spread to systems where it’s not required
• Securely dispose of ePHI when it is no longer needed
Step 5: Integrate with existing enterprise systems
Integration Requirements
HYBRID CLOUD
COMPUTING
IDENTITY & ACCESS
MANAGEMENT
IT
ADMINISTRATION
& MANAGEMENT
MEDICAL DEVICE
IOT § ADVANCED
ANALYTICS
TELEMEDICINE
STANDARDS
CONFORMANCE
AUDIT,
COMPLIANCE &
OPERATIONAL
INTELLIGENCE
MIDDLEWARE
Step 6: Negotiate cloud service agreements &
monitor KPIs
Considerations
Understand
business level
performance
objectives
Identify metrics
critical to
achieving
objectives
Ensure metrics
are defined at
the right level of
granularity that
can be
monitored on
continuous
basis
Identify standards
that provide
consistency in
metric definitions
and methods of
collection
Analyze and
leverage the
metrics on an
ongoing basis as a
tool for
influencing
business decisions
Understand
service
responsibility line
Potential KPIs
• Patient satisfaction KPIs: patient wait times,
examining room usage, bed and room
turnover, claim processing time
• Operational effectiveness KPIs: new streams of
info provide better visibility into inpatient flow,
revenue cycles and patient feedback loops
• Wearable device KPIs: time taken to react to
out-of-normal measurements
• Social media KPIs: track positive & negative
media mentions and consumer sentiment as
they relate to public health issues
• Measure how quick to respond to sentiment
through communication channels
Step 7: Manage the environment
Focus Areas
Management of
electronic health
records (including
sharing)
Automation of
internet connected
devices with real time
data (IoT)
Field devices including
physician / nurse
tablets for capturing &
displaying data
Management of
intelligent cognitive
assistants (physician
assistant)
Systems maintenance
Thank you

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cloud computing in health care.pptx

  • 2. Current Market Dynamics Market Dynamics 1. Escalation of consumerism 2. Impact of healthcare regulation and restructuring of financial risks 3. Influence of digitalization 4. Focus on preventive healthcare 5. for medical practice and healthcare delivery transformation Impact • Traditional healthcare mechanisms augmented with digital options • Increased technology investment to accelerate healthcare digitization • Shifting of roles played by incumbent healthcare actors Growing importance of data integration & comparative analysis • Accrual of medical knowledge & practice improvement accelerated • New business models for lower cost and better efficiency
  • 3. Benefits of Cloud Computing for Healthcare Economic Operational Functional
  • 4. Economic • Cost flexibility • OPEX vs. CAPEX • Reduced IT resource expenses
  • 5. Operational Increased scalability Improved security & privacy CSPs employ expert professional staff
  • 6. Functional • Enhanced interoperability & integration • More easily share information • Rapid development & innovation • Support for mobile & IoT devices • Sophisticated analytic capabilities
  • 7. High Value Cloud Computing Services for Healthcare Population Health Management Care Management Support Diagnostic Support Image Handling Service Medical Practitioner Assistance Patient Connectivity Data Distribution Services Laboratory Services Clinical Research
  • 8. Considerations for Leveraging Cloud Computing for Healthcare Technical Area Considerations of Cloud Computing Privacy & Security Strong cloud service agreements (CSA) must be established Awareness of where & how ePHI is moved, handled & stored Ability to track creation, modification and deletion of ePHI Use of third-party authentication highly recommended Background screenings for CSP personnel who “touch” ePHI Regulation & Compliance Healthcare entity responsible for compliance Require CSP to contractually agree to maintain all ePHI in adherence with government standards and regulations Request CSP certifications (HIPAA, ISO/IEC 27001, etc. Service Reliability KPIs for reliability/performance must be defined & monitored Disaster recovery & change management is critical Integration, Interoperability, Portability Standard healthcare interfaces and data models facilitates migration to different CSPs Ensure compatible business and operational processes & smooth integration with existing enterprise systems Standards Understand available standards and CSP adherence Critical standards that impact healthcare include Continua Health Alliance, ISO TC 215, ISO/IEE 11073, HL7, HIMSS, HITSP
  • 9. Guidance for Leveraging Cloud Computing in Healthcare Prescriptive series of steps customers should take to ensure successful deployment of cloud-based healthcare solutions 7 Steps to Ensure Successful Deployment 1. Build the business case for cloud computing 2. Prioritize specific cloud- based healthcare solutions 3. Determine cloud deployment & service models 4. Address security and privacy requirements 5. Integrate with existing enterprise systems 6. Negotiate CSAs and monitor KPIs 7. Manage the cloud environment
  • 10. Step 1: Build the business case for cloud computing Considerations Automate management Orchestrate virtual assets Provide ‘built in’ local/global disaster protection Deliver real- time business intelligence Enable IoT augmented patient care Leverage Big Data analytics & cognitive assistance for medical professionals Economies of scale Flexible payment models Recommendations • Complete an application / workload assessment study • ID services that can be migrated to cloud • Determine which applications can be replaced with available cloud services • ID entirely new capabilities that can be provided by cloud services • Barriers of entry to cloud-based healthcare services have disappeared • Prevalence of SaaS offerings & improved CSAs now available Ensure best service category & deployment model selected to fit business objectives • Network connectivity & security are critical dependencies
  • 11. Step 2: Prioritize specific cloud-based healthcare solutions Develop a Strategy • Avoid platform bias Avoid • Understand your current state Understand • Define your future state Define • Select cloud service provider(s) Select • Plan a phased approach Plan • Establish a proof of concept Establish • Scale to production Scale Cloud Drivers / Use Cases • IT cost reduction • Connected healthcare • Big Data Analytics Telemedicine • IoT enabled healthcare • Diagnostics support • DevOps • Disaster Recovery as a Service • Backup as a Service
  • 12. Step 3: Determine cloud deployment & service models Deployment Model Considerations Security Data classification Business model Target operating model Application architecture Cost Performance Service Model Considerations • Depends mainly on existing in-house solutions and IT skills • SaaS preferred when in-house healthcare service does not exist, and IT skills limited • PaaS is a good option when in-house IT skills available - acquire new healthcare services & enhance services to satisfy unique requirements • IaaS most cost-effective alternative when HCO looking for additional storage and compute capacity to support existing inhouse healthcare solutions
  • 13. Step 4: Address security & privacy requirements • Security is shard responsibility between cloud customers and cloud service provider (NIST 800-160, CSA, ISO/IEC 27017, ISO/IEC 27018) • Understand regulations that govern the privacy and security of healthcare data (HIPAA and GDPR) • Physical, administrative, and technical safeguards must be addressed in cloud environment (Mobile / IoT devices pose challenges, Encryption and two-factor authentication are key technical safeguards) • Do not collect ePHI unnecessarily • Do not allow ePHI to spread to systems where it’s not required • Securely dispose of ePHI when it is no longer needed
  • 14. Step 5: Integrate with existing enterprise systems Integration Requirements HYBRID CLOUD COMPUTING IDENTITY & ACCESS MANAGEMENT IT ADMINISTRATION & MANAGEMENT MEDICAL DEVICE IOT § ADVANCED ANALYTICS TELEMEDICINE STANDARDS CONFORMANCE AUDIT, COMPLIANCE & OPERATIONAL INTELLIGENCE MIDDLEWARE
  • 15. Step 6: Negotiate cloud service agreements & monitor KPIs Considerations Understand business level performance objectives Identify metrics critical to achieving objectives Ensure metrics are defined at the right level of granularity that can be monitored on continuous basis Identify standards that provide consistency in metric definitions and methods of collection Analyze and leverage the metrics on an ongoing basis as a tool for influencing business decisions Understand service responsibility line Potential KPIs • Patient satisfaction KPIs: patient wait times, examining room usage, bed and room turnover, claim processing time • Operational effectiveness KPIs: new streams of info provide better visibility into inpatient flow, revenue cycles and patient feedback loops • Wearable device KPIs: time taken to react to out-of-normal measurements • Social media KPIs: track positive & negative media mentions and consumer sentiment as they relate to public health issues • Measure how quick to respond to sentiment through communication channels
  • 16. Step 7: Manage the environment Focus Areas Management of electronic health records (including sharing) Automation of internet connected devices with real time data (IoT) Field devices including physician / nurse tablets for capturing & displaying data Management of intelligent cognitive assistants (physician assistant) Systems maintenance