How AI Can Optimize Accounts Receivable Management

How AI Can Optimize Accounts Receivable Management

The pressures on healthcare providers – from labor shortages to rising costs to reimbursement delays – continue with little relief in sight. According to an AHA and Syntellis report, half of the 1,300 hospitals and health systems surveyed reported $100 million in Accounts Receivable (AR) for claims older than 6 months. Moreover, from January 2022 to June 2023, the median health system’s drop in cash reserves was 28% and the number of days cash on hand dropped from 173 to 124 days.The constraints on both cash flow and cash reserves can have significant impacts. Case in point: The unforeseen Change Healthcare outage left many organizations struggling to cover expenses, even payroll, when payments were held up for weeks. Even without such a disruptive event, difficulties forecasting revenue and cash flow can harm an organization’s ability to provide high-quality patient care, plan for growth, and manage costs – which can ultimately erode patient trust and satisfaction.

Medigy Insights

Healthcare providers have a unique opportunity to adopt AI within the revenue cycle to expand automation, increase efficiency, and facilitate better collaboration between healthcare organizations and payers. Provider organizations can leverage AI across the revenue cycle to reduce manual tasks, optimize resource allocation, and improve accuracy in billing and payment.AI can also help improve the patient experience, especially when it comes to payment responsibilities. In a recent survey, 90% of patients surveyed said they would like to know their payment responsibility upfront, while only 20% understand what they will owe after an appointment.


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