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Medical Management
The health care community is continually faced
with the challenge of lowering costs while at the same time
improving quality. One useful way to accomplish this difficult task
is to compare treatment results for patients with the same diagnosis
but with different complexity. Illnesses are highly variable, and
that variability profoundly influences treatment and cost. To be
effective, tools that measure quality must take this complexity into
account.
Achieving Value-Based Outcomes
(VBO) in Healthcare Management through PCIX (Patient Complexity
Index)
Partnering with academic leaders in the medical
field, CTG has addressed the need to accurately measure quality by
developing a unique information system that objectively scores
illness severity and treatment results in a manner meaningful to
patients, payers, and providers. By empowering stakeholders with the
information they need to make improved healthcare choices, CTG’s
medical management tool can help achieve value-based outcomes.
CTG’s Approach to Medical Management
CTG’s powerful approach to medical management
builds on current IT systems and energizes existing tools to improve
coordinated strategic care. The CTG approach enhances the flow of
clinical information between patients and providers with the goal of
delivering optimal care in a cost-effective manner. Partnering with
the New York State Center of Excellence (COE) in Bioinformatics &
Life Sciences, CTG has created a health information data center for
model prediction and data analysis that facilitates achieving
value-based outcomes.
Using its super computer facilities, the COE
organizes, stores, and analyzes multiple data streams, and then
applies medical informatics and ontology methods to compare
treatments and evaluate illness severity and outcome—all with the
goal of returning this information to healthcare providers in a
timely manner.
CTG, working with the COE, continually
refines our patented ‘interpreter’ technology on PCIX (Patient
Complexity Index), which is the tool we use to improve the
grading of health outcomes. The PCIX identifies treatment
success, based on objective blood chemistry values and reliable
physical measurements. Key to PCIX effectiveness is that
patients can clearly see how both treatment and compliance
affect results. PCIX uses color-coded graphic displays to group
related health measures so that patients can see how compliance
with doctor’s orders and lifestyle choices affect wellness. CTG’s value-based software has shown application
in managing numerous medical conditions.
For example, the chart
below shows how one ESRD patient’s blood chemistry values and
physical measurements compare to scores for the general
population.

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Key: |
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Normal range |
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Moderate range (slightly elevated) |
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Extreme range (highly abnormal) |
To determine a value-based outcome, the
CTG interpreter uses improved objective blood chemistry values (as
scored with the PCIX) to identify the critical data elements that
drive medical management. Among these are:
For quality oversight, our
interpreter tool aggregates patients by similarity of medical
conditions and cohorts them together according to illness
complexity. The tool then tracks these results and costs over time.
This permits apples-to-apples comparisons and supports a more
realistic method to pay-for-performance based on an individual’s
illness complexity and reasonable expectations for outcome.
One example of how this
works is a recent project that used PCIX to evaluate patients with
ESRD. The patients were followed for one
year, and a marked variability in treatment results was observed.
Under current CMS reimbursement, which is based on partial
capitation, patients who entered dialysis with lower complexity
scores were found to have reimbursements that closely matched their
needs. However, as illness severity approached the upper third of
complexity scores, reimbursement was observed to be significantly
lower than costs.
Client
Benefits
CTG clients can benefit from our medical
management services in the following ways:
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P4P based on objective medical data confirming health and
outcome
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Easier access to data that supports evidence-based medical care
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Identification of preferred practice networks
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Improved disease management tools
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Provider evaluation based on outcome data rather than economic
data
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