Quest Analytics QES PCI Machine Learning.pdf
™ ™ Quest Enterprise Services (QES) PROVIDER CLAIMS INSIGHTS NOW WITH PRACTITIONER AT LOCATION CONFIDENCE LEVELS Unlock the Power of Machine Learning (ML)
Say goodbye to the challenges of tracking
providers who are always on the move and
gain confidence in where providers are
actively practicing. Introducing the future
of healthcare network optimization, made
possible by our practitioner at location
confidence levels powered by machine
learning and seamlessly integrated into
Provider Claims Insights (PCI).
WHAT THE MODEL DOES
Our ML practitioner at location confidence model
predicts whether a practitioner is associated with a
particular location and gives a level of confidence
around that prediction. No more guesswork or relying
on incomplete information to make decisions.
PACKAGING AND AVAILABILITY
These ML address confidence levels are seamlessly
integrated into our Provider Claims Insights (PCI)
offering. You can access these levels within the
Quest Enterprise Services™ (QES™) platform in
several key areas:
Network, Market and Prospect Accordions
Network Servicing Provider Reports
Provider Flyout
LEADING MACHINE LEARNING
ALGORITHM—FUELED BY BETTER DATA
analytics with our unique confidence levels.
Our approach integrates continuously updated
proprietary data and valuable provider attestations,
enhancing our machine learning model beyond the
scope of standard public data sets. This innovative
method ensures more accurate predictions for
practitioner at location results that you can rely on.
It evaluates hundreds of data features related to
practitioner-location pairs, such as:
• Distance between all locations for a provider
• Data age and changes over time
• Comparison to trusted data sources, including
BetterDoctor™ attestations
• Leveraging multiple public and proprietary
datasets from Quest Analytics® and
other sources
• Claims data insights
LEVERAGE CONFIDENCE LEVEL INSIGHTS
These insights will transform your approach to enhancing the efficiency and effectiveness of your healthcare network:
RECRUITING PROVIDERS:
Use practitioner at location confidence
levels for gap filling and network expansion.
Avoid costly rework due to inaccurate data.
NETWORK DATA OPTIMIZATION:
Spotlight and investigate low-confidence
addresses within your network data.
CONFIDENCE RANGES AND THEIR MEANINGS
Our model provides confidence levels to help guide your decisions:
HIGH
Practitioner IS
at location
with over 85%
confidence
MEDIUM
Practitioner IS
at location
with 51-85%
confidence
LOW
Practitioner IS NOT
at location
with 51-85%
confidence
VERY LOW
Practitioner IS NOT
at location
with 85%
confidence
CONFIDENCE LEVELS ALONGSIDE
PROVIDER CLAIMS INSIGHTS
Combine the power of practitioner at location confidence
levels with PCI for a comprehensive understanding of
your network.
Say goodbye to uncertainty and inefficiency in
your healthcare network management. Embrace
the future of data analytics with address
confidence level insights, exclusively from
Quest Analytics.
Contact us today to supercharge your
healthcare network!