Success story

Predictive Modeling drives new patients to a new Primary Care Clinic, Earning $7.3M in Total Charges

Article Summary

83.8% of downstream responders had commercial or managed care coverage — a Texas hospital opened a new clinic and filled it with the right patients from day one.

When a Texas hospital opened a new primary care clinic, they didn’t just mail to everyone nearby. Using Personify Health’s predictive modeling and profitable payer filters, they targeted 10,124 households within a 5–10-mile radius — focusing on patients without a primary care physician, aged 30–64, with verified coverage — ensuring patient acquisition drove real revenue.

10,124 households targeted 83.8% profitable payer reach 5–10 mile radius targeting Predictive payer modeling No-PCP patient targeting 5 acute-care hospitals

Client at a glance

Texas-based hospital with 5 acute-care hospitals, specialty hospitals, imaging centers, community health and wellness programs, ambulatory services, and medical offices.

Opportunity

After opening a new primary care clinic across town, the hospital wanted to promote it to local patients and prospects to drive patient acquisition growth for those nearby that need services.

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New patients from campaign

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Overall response rate

$0

New patient total charges from campaign

Solution

Leveraging Personify Health’s solution, the hospital identified current patients (without a primary care physician) and non-patients, 30- 64 years old, with a high predictive score for primary care utilization living within a 5–10-mile radius of the new clinic. The list was further segmented by applying a profitable payer filter to target current patients with commercial insurance, managed care, or if they’re a profitable payer (for those with an unknown insurance type), allowing the hospital to target a total of 10,124 households.

Next, the hospital partnered with Personify Health to deploy a 6”x9” postcard mailer to promote its new clinic and physicians with a clear call-to-action that encouraged recipients to call or visit their website to make an appointment. For a campaign to be effective, it’s not enough to send a postcard. The client needed the ability to target profitable patients and prospects who have coverage, need a primary care physician, and who can pay. Personify Health’s Predictive Modeling allowed the hospital to reach 83.8% (2,070) of the 2,470 downstream responders since they had commercial or managed care insurance.

Why a profitable payer filter matters

Our Predictive Model enables a client to target patients or prospects with coverage and a positive payer history.


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