Moving to the Cloud: Modernizing Data Architecture in Healthcare
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Transcript of Moving to the Cloud: Modernizing Data Architecture in Healthcare
MOVING TO THE CLOUDMODERNIZING DATA ARCHITECTURE IN HEALTHCARE
About Perficient
Perficient is the leading digital transformation
consulting firm serving Global 2000 and enterprise
customers throughout North America.
With unparalleled information technology, management consulting,
and creative capabilities, Perficient and its Perficient Digital agency
deliver vision, execution, and value with outstanding digital
experience, business optimization, and industry solutions.
Perficient Profile
Founded in 1997
Public, NASDAQ: PRFT
2016 revenue $487 million
Major market locations:Allentown, Atlanta, Ann Arbor, Boston, Charlotte, Chicago,
Cincinnati, Columbus, Dallas, Denver, Detroit, Fairfax,
Houston, Indianapolis, Lafayette, Milwaukee, Minneapolis,
New York City, Northern California, Oxford (UK), Southern
California, St. Louis, Toronto
Global delivery centers in China and India
3,000+ colleagues
Dedicated solution practices
~95% repeat business rate
Alliance partnerships with major technology vendors
Multiple vendor/industry technology and growth awards
Speaker Introductions
James Gaston, FHIMSS MBA
Sr. Director, Maturity Models,
HIMSS Analytics
Tom Lennon
Director, Healthcare Analytics,
Perficient
Jim Kouba
Director, Healthcare Solutions,
Perficient
HIMSS Analytics
WelcomeJames E. Gaston, MBA FHIMSS
• Senior Director, Maturity Models, HIMSS Analytics
• Decade of experience in acute care hospital, research and admin
• Decade of experience of data warehousing and C&BI at Blue Cross Blue Shield Plan
• 25 years in healthcare IT, and analytics
@JamesEGaston
https://www.linkedin.com/in/jamesegaston/
Healthcare Information and Management Systems Society (HIMSS)
HIMSS is a global, cause-based, not-for-profit organization focused on better health through information
technology (IT). HIMSS leads efforts to optimize health engagements and care outcomes using information
technology.HIMSS Annual Conference, Corp Membership, Thought Leadership, etc.
Marketing Arm, Healthcare IT News, Local Forums, Content Creation & Syndication, etc.
LOGIC™, CapSite, Maturity Models, Insight & Research, Essentials Briefs, etc.
Healthcare’s Most Comprehensive Market Intelligence Resources & Advisory Solutions
Health IT Market Intelligence
Health ITInsight & Research
Healthcare Organization Benchmarking
Uniquely Positioned to
Deliver Actionable Intelligence
HealthcareDeliveryOrganizations
Health ITSolutions
http://www.himssanalytics.org/research/essentials-brief-2017-cloud-study
Healthcare Cloud Insights
High level of cloud usage, but mainly limited to specific functions
Yes65%
No32%
Unsure3%
Does your organization currently utilize the cloud or cloud services?
For the purposes of this study, the cloud was
defined as a model of networked online storage
where data is stored in virtualized pools hosted
by third parties and accessed through a web
service application programming interface (API),
a cloud storage gateway or via a web-based
user interface. Use cases of the cloud in
healthcare include hosting of applications,
disaster recovery/back up and hosting of
primary data storage.
Roughly 65% of study respondents currently
utilize the cloud or cloud services within their
organization. Much of the usage leans toward
clinical application and data hosting, data
recovery and backup, and the hosting of
operational applications.
n=64
Organizations beginning to see the value of IT scalability and flexibility
Meet organizational need for a scalable, always-on solution
34%
Address disaster recovery needs
27%
Lower current IT maintenance costs
12%
Lack of internal IT staff or IT expertise
on site10%
Enhance our information/data
security7%
Other10%
Which of the following best describes the primary reason your organization adopted cloud services?
When asked for the primary reason for the
adoption of cloud services, respondents
indicated their need for scalability for an
‘always-on’ solution. With the increased focus
on hosting clinical applications addressing the
organizational need for essential, ‘always-on’
clinical solutions through the cloud seems to be
resonating across the market.
While scalability and disaster recovery are top
of mind for many organizations, it is somewhat
surprising to see only 12 percent of those that
utilize the cloud did so to lower IT costs. The
past 10 years of IT adoption has required
healthcare organizations to build up massive IT
infrastructures that are expensive to maintain. It
will be interesting to see if market sentiment
around the cloud and IT maintenance changes
significantly in the next few years, especially if
organizations shift from a capital spending to
operational spending model for some of their IT
infrastructure. n=42
Understanding the benefits and risks of the cloud still hampering market sentiment
Not currently in our budget36%
Privacy and security concerns
29%
Feel the risks currently outweigh
the benefits21%
IT operations are solely internal to
organization14%
Which of the following describes the primary reason your organization does not currently use or have plans to invest in cloud services?
While roughly 36% of respondents
that do not use the cloud and
currently have no plans to do so
indicated budgetary reasons, there
still seems to be a clear lack of
understanding around the benefits
and risks of the cloud as well as how
the cloud addresses privacy and
security.
Security is top of mind across the
healthcare industry and it will take a
combination of solutions and
diligence to constantly ward off
threats to healthcare data.
n=14
We drive the health IT market in the direction it needs to go
Improved
Patient Care
and Health IT
InsightsAnalytics Maturity Adoption Model
Continuity of Care Maturity Model
Digital Imaging Adoption Model
Outpatient EMR Adoption Model
EMR Adoption Model
Cloud Journey:
Large Health System
About the Client
• One of the largest non-profit health care integrated
delivery organizations in the United States
• Committed to improving the health and well being of the
people and communities it serves through leadership,
education, innovation, and excellence in medicine
• Serves the healthcare needs of urban, suburban and
rural communities and includes 15 hospitals and multiple
community health locations
• Just completed a strategic roadmap for a clinical
analytics architecture
• First step was to establish a solid technical and
data foundation for a unified, world-class
enterprise analytics system
• Further position cutting-edge clinical research
and state-of-the-art clinical and business
management analytics
Business Drivers
Key Goals
• Consolidate & rationalize multiple clinical repositories
• Provide an integrated technology platform that is extensible
• Use standardized enterprise class, contemporary
technology that is secure
• Reduce infrastructure costs
• Retire existing technology
Key Challenges
• Current environment fractionated
– Multiple technologies in place
– Decentralized governance
– Gaps in data availability
– Inconsistencies in data representation
• Development in parallel with enterprise rollout of new EHR
– EHR data critical to success
– SMEs first priority is to rollout
– New data structures and content not well understood
• Need to develop skills and knowledge for self-sufficiency
– New staff = steep learning curve
– New technology = extensive training & ramp-up
• Security
Solution
Implemented an EDW on the cloud to provide cost savings and
architecture flexibility. Developed a streamlined migration and
integration of data from the on-premises repositories to the cloud
platform using design patterns that are built specifically for efficient
data movement in a cloud environment.
Solution Components
– Healthcare industry data model
– Cloud database - Infrastructure as a Service (IaaS)
– Perficient Cloud Analytics Gateway
– Secure, high-speed cloud data migration service
– ETL tool for localized job execution control
– Data governance and lineage tool
– Infrastructure optimization tool
Standardized data
for BI reporting
Reduced data
integration
50%
Extensible using industry
standard technologies
Populates key
functional areas
Repeatable and Consistent
Reduces risk through utilizing
tested and proven methodology,
patterns and framework based on
best practices, across multiple
implementations
High Quality
Proven expertise and domain
knowledge of implementation
team, utilizing IBM’s UDMH and
technologies
TimelyLess time to value, while iteratively driving to further value, through reduced data integration times
Meaningful
Meets industry standard
high-value use cases to
aggregate data into data marts
for purpose-built analytics
Attainable
Easy to use framework
through collaborative,
incremental build (not a big
bang approach) and user
engagement and enablement
Scalable
Established framework allows
for incremental value to be
added, with reduced effort
Health Analytics Gateway Features and Principles
On-Premises or Cloud-Based
Key Benefits
• Provided access to historical and operational data from the
consolidated EDW for optimal reporting and comprehensive
clinical research
– Clinical practice and research teams now have a more
holistic view of the patient’s experience over the course
of treatment and clinical interactions
– Removed burden of legacy environments and disparate
repositories through migration to a consolidated, modern
cloud-based data platform
• Improved ability to onboard new systems and integrate new
data sources
• Cloud environment has reduced hardware and server costs,
increased scalability and flexibility, and speeds time to
deployment
Lessons Learned
• Establishing an enterprise-wide steering committee drove more
rapid decision making and enabled buy-in from multiple,
organizational constituents
• Consolidation of vendors and tools enabled more focus in solution
design and issue resolution
– Vendor and client partnership approach established open
dialog and enhanced the solution
– Early collaboration from engineers from all technologies
identified key solution risks and mitigation plans
• Build in time to train resources and fully adopt and internalize the
new technologies
– Expect unanticipated challenges and plan for them upfront
Cloud Journey:
Academic Health Center
About the Client
• One of the largest academic health centers in the
United States
• Combines interdisciplinary teaching, research and
clinical facilities allowing unique opportunity to:
– Prepare the region’s future health care
professionals
– Provide the best available health care to its
patients
– Maintain its position as a leader in life sciences
research
Provide the data and analytics platform and program to power the
organization’s journey to translational and personalized medicine in
support of leading edge value-based care delivery models.
Begin to leverage the wealth of information the collective organization
has across the full population of pediatric and adult patients to improve
care in the short term and provide game changing innovation over the
long term.
Guiding Principles
– Foster Innovation
– Enable Agility
– Favor Intuitive Visualizations
– Learn Fast
Vision
Key Challenges
• Complex organization
– Involved multiple autonomous organizations
– Decentralized funding and governance
– Disparate execution paradigms
• Complex architecture, infrastructure, and operations
– Disparate technology standards and skills
– IT staffs were already stretched thin
– Traditional data consumers now becoming data providers
• Must scale to handle large amounts of data
– Genomics data
– Clinical data
– Claims data
– Environmental data
• Security concerns all around
Key Benefits
• Integrated 6 million adult and pediatric patient records
• Reduced operating cost by 50% > Re-allocate into
other areas
• Able to deliver a broader and richer set of tools and
technologies to data scientists and clinical decision
makers; decreasing prep time by 50% so improving
patient care can be the primary focus.
• Rapid, iterative development of visually oriented
analytics
- Disease surveillance
- Diagnosis prevalence
Initially implemented
– Structured EDW
– Enterprise ETL and RDBMS architecture
– Traditional BI reporting platform
Solution
Eventual solution
– Cloud based, fully managed EDW
– Leverages super-fast SQL query engine
– Local front-end visualization tool
Results
Results
Results
Lessons Learned
• In-house infrastructure provisioning took too long
and stifled innovation
• The pivot to the cloud enabled significant reduction in
IT capital investment
• Using a common external provider eases
organizational anxiety
• Shifts security risks away from an already stretched
internal IT staff
• Analytic insight can be delivered in weeks as opposed
to quarters
• Improved alignment with guiding principles: innovation,
agility, intuitive visualization, and learning fast
QuestionsType questions in the chat box
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