5 Things to Know About the Clinical Analytics Data Management Challenge - Extracting Real Benefit From Your EHR Data The EHR revolution has created immense promise for improved patient outcomes and reduced costs but most healthcare organizations are struggling to experience significant benefits. The power of Applied Clinical Analytics lies in a simple but powerful concept: the importance of focusing on the accuracy and availability of the underlying data, first and foremost.

1. 5 THINGS TO KNOW ABOUT THE
CLINICAL ANALYTICS DATA
MANAGEMENT CHALLENGE
EXTRACTING REAL BENEFIT FROM YOUR EHR DATA
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2. Every year new academic reviews reveal a mixed bag of results from the dramatic
“digitization” of medical practices that has occurred over the last decade. Some have
noted that during the rst two years of even the most ‘successful’ EHR implementation,
clinician productivity dropped as much as 30%, and correlated with no appreciable
increase in quality and safety.
Realigned Incentives, cloud-based technology tools, advanced software tools, and novel
delivery models are all necessary for successful care transformation, but are still alone
insufficient to reach quality and safety goals. Health systems must apply a comprehensive
approach to data accuracy and relevance in order to achieve the clinical transformation
and re-engineering necessary for truly effective population health management. To deny
this reality, if only tacitly through actions (or inaction), is to subscribe to clinical analytics
alchemy—that is, inputting leaden data and expecting a golden output.
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01
The EHR revolution has created immense
promise for improved patient outcomes and
reduced costs but most healthcare organizations
are struggling to experience significant benefits.

3. 02
Your healthcare enterprise may have the tools and data
you need, but it’s likely that your data lake is more like a
data swamp. Data mart proliferation from systems like
EHR, ERP, population health platforms, BI and others can
leave you with an inflexible model that serves neither your
clinical nor IT needs.
Data integrity problems persist as an ongoing issue for
healthcare providers. What data integrity essentially
means is that the data is accurate and hasn’t been
wrongfully altered in any way. Inaccurate data has the
potential to become major health risks for patients and a
huge liability for providers, leading to such issues as fraud,
abuse, data loss, incorrect or incomplete care.
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It's likely there are significant
problems with your data

4. Clinical analytics software
solutions are only as useful as
the data that goes into them.
03
Existing clinical analytics software products, whether off the
shelf or specically congured towards the management of a
set of business processes, can do the job that they are intended
to do. While not all solutions are created equal, various
categories of tools can be readily assembled to address the
population health management life cycle.
Even if a health system is able to implement sophisticated
population health and supporting clinical analytics software
tools, they will ultimately be limited by the data that they can
wholly access. If a healthcare organization is generating
chaotic, incomplete, or clinically unavailable data, then no
amount of technology or workow engineering will save you
from the quality and cost consequences that are likely to result.
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5. Current data management challenges are
further complicated by the impending massive
inux of data from non-core transactional
systems, ancillary healthcare data, patient-
generated biometrics from non-clinical
sources, and rapidly emerging genomics and
molecular medicine sources. Where does it all
belong? Many in our industry are heralding this
growth in both volume and velocity as an
opportunity for big data methods and
technologies to deliver value as it has in many
other industries and data science endeavors.
A caveat is necessary here. Although big data
technologies and tools are growing more
accessible and ubiquitous, the real value to the
clinicians who are delivering frontline care to
patients is not dependent on the volume of
data available about the patient in question
but rather upon the accuracy of the data.
Smart data comes into existence when it is
generated and delivered through a clearly
delineated and traceable data value chain. It
comes from a discrete place in a transactional
system.
Smart data not big data... ...rules the day.
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04

6. 05
Good discipline, governance, and the automation of data
processes are vastly under-appreciated for their criticality in
delivering on the analytics promise.
ACA’s elegantly simple data solutions, when brought to the
point of care through the chart, or even through something as
rudimentary as a report, can unlock the power from the data
warehouse and accentuate any existing population health and
clinical analytics programs.
The power of Applied Clinical Analytics lies in a simple but
powerful concept: the importance of focusing on the accuracy
and availability of the underlying data, rst and foremost. The
importance of the right data stewardship, quality assurance,
and metadata management as a solid foundation cannot be
underestimated.
www.symphonycorp.com/aca
Applied Clinical Analytics
A data first approach

7. Master Clinical Data Management
We create one master reference source for the clinical data of your healthcare enterprise, by creating a
logical and physical “layer of sanity” between your existing transactional systems, and your clinical,
operational, and leadership workforce.
Prevention and Chronic Disease Management
We create problem lists for disease and prevention bundles, resulting in cost savings and improved
patient outcomes. With a few relatively straightforward data improvements for key chronic disease
populations, even the most sophisticated health systems can reap millions of dollars in benefits.
Digital Safety Net
We close the loop on problematic conditions. Designing a digital safety net to automate processes that
would otherwise suffer low reliability and efficiency.
Re-engineering and Clinical Transformation
We develop a business process oriented, iterative, re-usable, sustainable framework for rapid
transformation. We work with clients to develop a comprehensive story of all diseases, conditions, and
interactions at the point of care, and make sure all levels of the care team has access to this story.
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Symphony's Applied Clinical
Analytics Service Model

8. Gettingstartediseasy!
Give our experts access to a data-set for
two weeks.
You receive a report with actionable
opportunities
Pay nothing for the assessment.
Pay only at well-defined milestones.
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9. CONTACT SYMPHONY CORPORATION
www.symphonycorp.com/aca
info@symphonycorporation.com
www.symphonycorp.com/aca
The power of Applied Clinical Analytics lies in a
simple but powerful concept: the importance
of focusing on the accuracy and availability of
the underlying data, rst and foremost.
608.294.4090