With patients changing jobs, moving, and being responsible for more out-of-pocket expenses than ever before, verifying demographics, correctly identifying self-pay patients, and capturing maximum reimbursement for all services rendered can be a challenging and labor-intensive exercise.
Leveraging automated RCM optimization technology has been demonstrated to help hospitals and healthcare providers, including emergency medical services (EMS) and specialties like radiology and laboratories, find, correct, and verify patient and payer information in real time to capture more revenue, reduce administrative burden, and improve the patient financial experience.
Download the white paper to learn how AI-enhanced tools helped RCM teams automatically:
Correct and replace missing core demographics for more than 82% of patient claims, on average
Prevent up to 66% of claim denials by finding active, billable coverage for more than 40% of claims
Potentially increase revenue by $50,000 per 1,000 self-pay claims
Reduce RCM workload to accelerate the revenue cycle and improve staff productivity
Shift the financial burden from patients to payers
