St. Joseph's/Candler

Hospital leverages AI-powered technology to improve medical financial aid for its patients

Region: Southeast
Type:
Non-profit
NPR:
$651M
Locations:
121

Challenge

St. Joseph's/Candler (SJ/C) delivered more than $46M in charity care in 2019. Across different practice areas and teams, several challenges were:

• The robust charity care program that was developed supports patients in need – but left them unreimbursed for care delivered

• Lack of uniformity across health system processes impeded SJ/C's ability to tap into copious financial aid programs

• Manual processes led to inefficient medical financial aid management and revenue leakage

Quote mark

Our team needed a standardized approach to financial aid that included the ability to track productivity. With Atlas, we are now firing on all cylinders, finding more aid opportunities for patients and measuring our progress.

Joseph Zehler, Director of Physician Revenue Cycle Operations

Solution

SJ/C chose Atlas to:

• Deliver an end-to-end, AI-powered patient assistance platform w/o patient advocacy services

• Embrace a digital automation approach to ensure all medical financial aid programs are evaluated effectively

• Predict optimal eligible coverage options based on historical EMR data and registration data which determines the right financial plan for each patient

Results

192%

increase in financial aid for patients

6,200+

patients enrolled in financial aid programs

$5.7M+

in financial aid support for patients annually

500+

patients helped annually

Download Case Study

St. Joseph's/Candler

Hospital leverages AI-powered technology to improve medical financial aid for its patients

Region: Southeast
Type:
Non-profit
NPR:
$651M
Locations:
121

Challenge

St. Joseph's/Candler (SJ/C) delivered more than $46M in charity care in 2019. Across different practice areas and teams, several challenges were:

• The robust charity care program that was developed supports patients in need – but left them unreimbursed for care delivered

• Lack of uniformity across health system processes impeded SJ/C's ability to tap into copious financial aid programs

• Manual processes led to inefficient medical financial aid management and revenue leakage

Quote mark

Our team needed a standardized approach to financial aid that included the ability to track productivity. With Atlas, we are now firing on all cylinders, finding more aid opportunities for patients and measuring our progress.

Joseph Zehler, Director of Physician Revenue Cycle Operations

Solution

SJ/C chose Atlas to:

• Deliver an end-to-end, AI-powered patient assistance platform w/o patient advocacy services

• Embrace a digital automation approach to ensure all medical financial aid programs are evaluated effectively

• Predict optimal eligible coverage options based on historical EMR data and registration data which determines the right financial plan for each patient

Results

192%

increase in financial aid for patients

6,200+

patients enrolled in financial aid programs

Download Case Study

St. Joseph's/Candler

Hospital leverages AI-powered technology to improve medical financial aid for its patients

Region: Southeast
Type:
Non-profit
NPR:
$651M
Locations:
121

Challenge

St. Joseph's/Candler (SJ/C) delivered more than $46M in charity care in 2019. Across different practice areas and teams, several challenges were:

• The robust charity care program that was developed supports patients in need – but left them unreimbursed for care delivered

• Lack of uniformity across health system processes impeded SJ/C's ability to tap into copious financial aid programs

• Manual processes led to inefficient medical financial aid management and revenue leakage

Quote mark

Our team needed a standardized approach to financial aid that included the ability to track productivity. With Atlas, we are now firing on all cylinders, finding more aid opportunities for patients and measuring our progress.

Joseph Zehler, Director of Physician Revenue Cycle Operations

Solution

SJ/C chose Atlas to:

• Deliver an end-to-end, AI-powered patient assistance platform w/o patient advocacy services

• Embrace a digital automation approach to ensure all medical financial aid programs are evaluated effectively

• Predict optimal eligible coverage options based on historical EMR data and registration data which determines the right financial plan for each patient

Results

192%

increase in financial aid for patients

6,200+

patients enrolled in financial aid programs

$5.7M+

in financial aid support for patients annually

Download Case Study