Meet Max and Alice

Two patients are looking for a primary care physician, but both have different needs. See how our algorithm works to find the right primary care physician for Max and Alice.

Only goes to the doctor as a last resort
27 years old
Single
Just started a new IT job in Atlanta
Craft beer enthusiast
Recently diagnosed with diabetes
58 years old
Married grandmother of four
Retail manager in Springfield
Loves her Zumba class

Every Member Has Different Healthcare Needs

Finding Out What Matters Most

We learn what they want. What they need. What matters most to them.

LOCATION
Provider
preference
Convenience
communication
additional
preferences
What matters to
location
Close to work
provider preference
Male provider
CONVENIENCE
After-hours appointments
COMMUNICATION
Via text
ADDITIONAL PREFERENCES
Online scheduling
What matters to
location
Close to home
provider preference
Female provider
CONVENIENCE
Morning appointments
COMMUNICATION
Via phone
ADDITIONAL PREFERENCES
Friendly staff

Finding the Perfect Match

Then, we use actionable data to match your employees to the right care.

IN-NETWORK
patient reviews
PERFORMANCE
DATA
ACCEPTING
NEW PATIENTS
additional
metrics
Dr. Wilson
in-network
Yes
patient reviews
A+ rating
performance data
Top 25%
accepting new patients
Yes
ADDITIONAL METRICS
Patient loyalty score
Dr. Watson
in-netork
Yes
patient reviews
A rating
performance data
Top 25%
accepting new patients
Yes
ADDITIONAL METRICS
Specializes in diabetes care
High medication adherence rates
Making Informed Matches
With answers to what your employees want and need, we use our patient-provider machine engine to help them make good healthcare decisions.
Read Our Data Story
Dr. Wilson is the perfect match for

Why Dr. Wilson?

High patient loyalty score

Max is relatively healthy and the physician-patient relationship is important to him, so we connected Max with a provider with a high patient loyalty score.

Dr. Watson is the perfect match for

Why Dr. Watson?

Specializes in diabetes care
High medication adherence rates

Alice has just begun regulating her diabetes through medication, so we matched her with a primary care physician experienced in diabetes care who also had high medication adherence rates.

Explore How the Matching Algorithm Works for Specialists
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OUR ANALYSIS
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