## ™ ™ 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**<sup>™</sup> **(QES**<sup>™</sup>**) 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<sup>™</sup> attestations

• Leveraging multiple public and proprietary  
datasets from Quest Analytics<sup>®</sup> and  
other sources

• Claims data insights

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## 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!**