AI Enhances Efficiency in Healthcare Accounts Receivable Management

Healthcare providers are facing ongoing challenges like labor shortages, rising costs, and delays in getting paid. A report from the AHA and Syntellis found that half of the 1,300 hospitals and health systems surveyed have $100 million in Accounts Receivable (AR) for claims that are over six months old. Additionally, between January 2022 and June 2023, the median cash reserves for health systems fell by 28%, and the number of days of cash available dropped from 173 to just 124 days.

Cash flow and reserves are crucial for healthcare organizations, and constraints in these areas can lead to serious problems. For example, the unexpected Change Healthcare outage left many organizations unable to pay their bills, including payroll, as payments were delayed for weeks. Even without such disruptions, challenges in predicting revenue and cash flow can affect a healthcare organization’s ability to deliver quality patient care, plan for growth, and control costs. This can ultimately damage patient trust and satisfaction.

Healthcare organizations must refine their accounts receivable (AR) management to avoid delays and denials while enhancing financial stability. AI can analyze large amounts of data, especially unstructured text, to improve efficiency in AR processes and increase cash flow.

Leveraging AI to improve AR management

Many delayed claims need several follow-ups to resolve, which means agents create numerous notes about actions and next steps. To address a claim, they usually review the account history and look into various payer documents, including policies, contracts, and correspondence.

AI can streamline this process by quickly analyzing the claim history and payer documents, providing agents with a clear summary of the claim’s status, previous actions, and a resolution strategy. This allows AI to accomplish in minutes what can take agents hours, freeing them to focus on resolving accounts more efficiently.

Implementing AI in AR management: Applying the perfect practices

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. To be successful, providers need a robust implementation process that makes it a priority to:

Involve Stakeholders Early: Start any AI project by bringing in experts from the relevant field and leaders from different departments. Use their knowledge to outline the entire process, pinpoint key issues, and clarify the next steps.

Test with Frontline Users: Create a minimum viable product (MVP) and test it with frontline users. Regularly gather user feedback during development to identify and fix problems early. This approach helps organizations quickly scale effective and accurate AI solutions.

Assess and Improve: Use advanced analytics to evaluate how well the AI model is performing, find areas for improvement, and review operational metrics. By establishing a feedback loop, organizations can continuously enhance their AI implementation and apply insights to future revenue cycle challenges.

Improving overall patient experience

AI can enhance the patient experience, particularly regarding payment responsibilities. A recent survey found that 90% of patients want to know their payment amount upfront, but only 20% understand what they owe after an appointment.

Patients often find information from payers, like Explanations of Benefits (EOB), confusing, leading to 72% of consumers feeling uncertain when they receive their medical bills. When patients have questions, AI can quickly summarize their claim history and status, helping service agents provide clear information about any outstanding balances and payment options. This increased clarity can reduce stress and improve patient satisfaction.

Recognize the Power of AI in Revenue Cycle Management

AI is changing how accounts receivable (AR) processes work, leading to better patient experiences, improved cash flow, and stronger financial performance. It’s already making a big impact in the AR field and is paving the way for a more stable future in healthcare finance. Providers who adopt this technology quickly can enhance their operations and better serve their patients.