The document discusses how healthcare organizations can improve patient outcomes through better integration of their systems, data, and governance. It emphasizes that integrating different sources of patient information, standardizing data, and using analytics tools are key to measuring performance and providing predictive analytics. The document recommends developing strategies for integration, data management, and choosing technology platforms that simplify workflows while focusing on the patient experience rather than just the systems.

1.
Architecting
for Success
How to drive failure out of the system
The architecture of your systems, data and governance is what stands
between you and failure. Systems end up in your IT organization
because they have been acquired as point solutions, needed for
workflow, connected through mergers, deemed necessary through
partnerships or thrust upon you for compliance.
Whatever the reason, let us help you engineer a better solution.

2.
2
Failure is not an option
Do you have a strategy?
Integration
Connected Care is in part
collaborating on the information
that streams from many sources of
data. Often these systems contain
similar core pieces of information
and then various details of
treatments, medications and
patient images. Getting to a 360-­‐‑
degree view of a patient is key to
better outcomes. A solid
integration strategy provides
agility to add new sources of
information quickly. The ability to
look at KPI’s to balance patients
and profits by integrating systems
with physician performance, drug
adherence to claims adjudication.
+
Data
This is the source of information
feeding operational and predictive
analytics within healthcare. The
information between systems can
be lost in translation if the data is
not standardized and mapped
properly to the data warehouse.
Investing time upfront to properly
cleanse historical data and map
new data can improve the quality
of analytics reports and
compliance measures.
Governance
How data is managed and
standardized as changes occur in
source systems is critical to
accurate quality and performance
measure reporting. A strategy for
how data challenges are identified
and resolved to ensure measures
are accurately reflected.

3.
3
Enterprise Service Bus
Connecting data between systems and sharing services is critical to
collaborative care. Electronic health records are only a piece of the
information needed to provide care for patients. Information from
physicians, acute care, home health, claims, financial, and pharmacy
systems.
Enterprise Data Warehouse
The ability to store data from different systems and then prepare that
data for analysis to identify patients at risk, quality of care, cost of care
and provider performance are some of the main reasons to implement
these technologies. Creating a single source of truth is critical to
success of these measures. But what if you can use that information to
now provide predictive analytics and risk registries for improving
patient outcomes? That is the foundation that this solution provides.
Data Visualization and Analytics Tools
There are many tools on the market that can be used for presenting the
data in a meaningful way for healthcare to act on. These technologies
range from simple data visualization to predictive analytics that
compare providers, clinical ontologies and compliance to quality
measures. Once the data has been collected and standardized these
tools can help change patient outcomes and improve operations.
Core System Technology/Platform-­‐‑ Workflow, CRM, BPM, EHR, PMP
Being able to simplify workflow, collect information in a friendly and
easy to use interface are a couple of the challenges healthcare faces with
the systems today. Choosing and integrating these technologies to
support engaging with a patient till they are discharged or released
from care is a challenge. More time is spent with systems then with
patients. Let us help you build a solid foundation of architecture and
engagement that will let you focus on the patient not the system.
Key Technology Platforms
Success in healthcare is measured by patient outcomes. The ability to take information from
different systems, standardize it and then measure performance is the future of healthcare.
Analytics
Agility
Data Aggregation
Workflow

4.
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