Cognitive Automation
for Medical Billing
Reduces running costs and errors simultaneously.
Description of Problem
Reviewing and retrieving patient data is a time-consuming and tedious task. In addition, unstructured and fragmented administrative systems might result in claim processing delays and a terrible customer experience. Streamlining data extraction and healthcare claims can help healthcare providers save time while also increasing profits.
By ensuring that the correct data is taken, examined, and used, automation of this process can eliminate errors and assist with claims. Hospitals and clinics can benefit from healthcare claims automation by reducing backlogs, increasing claim submissions, and improving reconciliation.
A manually managed procedure can take up multiple hours a day to complete and is prone to human error. Automation through AI can cut the time it takes to finish coding and billing while also improving accuracy. A faster and more precise process results in faster payment and assures that no money is lost.
Client Overview:
The client is a medical institution in South-East Asia with thousands of patients admitting per month.
Industry:
Healthcare
Processes Type:
Medical Billing
How Gleematic Helps
Gleematic extracts and enters data from medical forms to the patient system.
Gleematic compiles each patient’s bills and creates an invoice for each of the patients.
Results
Degree of Robotization: 75% Effort Automated
ROI: 3 Months
Human Error Rate Reduced
Manual Effort Reduction to 75%
Faster Processing Time: Reduction of 65%
More Standardization
High-Quality Improvement
No More Repetitive Administration
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Cognitive Automation:
What is it and how to implement it successfully
