Mercyhealth’s recent improvements in revenue show how artificial intelligence (AI) can make a real difference in healthcare. This story highlights how technology can support hospitals and potentially benefit patients by ensuring more efficient claims processing.

The Shift to AI in Healthcare

Mercyhealth, a medical system based in Rockford, Illinois, has seen a remarkable 5.1% increase in revenue after adopting AI for high-volume claims processing. This decision was driven by rising patient visits and the need to manage more claims effectively. With over 2.4 million patients served annually across seven hospitals in Illinois and Wisconsin, the healthcare system faced significant challenges in keeping up with the demand.

Kelly Pierson, the director of Coding and Clinical Documentation Integrity at Mercyhealth, explained that automation was necessary due to a shortage of experienced coders. Traditional manual processes were not enough to handle the volume of claims. In fact, Mercyhealth was competing for coders not just with other healthcare providers but internally, leading to additional strain on resources.

Coding plays a critical role in the revenue cycle of healthcare. It ensures that medical claims are processed correctly, helping to minimize denials and secure the funds that hospitals need to operate. Recognizing this importance, Mercyhealth turned to technology over two years ago, seeking out AI partners to lighten the load.

Why Choose Autonomous Coding?

Initially, Mercyhealth considered computer-assisted coding systems. However, they ultimately settled on working with Arintra, an autonomous coding vendor. This choice was influenced by Arintra’s customizable approach and ability to adapt to different payer rules. With more than two years of experience implementing the system, Pierson emphasized that they were able to prioritize complex claims that require human insight.

The automation process brought about significant improvements. After integrating AI, Mercyhealth reduced its accounts receivable days by 50%. This not only streamlined processes but also enhanced overall confidence in coding accuracy. Initially nervous about the reliability of AI, Pierson reassured her team by having coders review a portion of the automated outputs. This step eased concerns and built confidence in the new system.

Smart Strategies for Staff Engagement

The shift to AI did not mean that coders were left without work; in fact, it changed their roles for the better. Coders now focus on more complex cases, using their expertise rather than being bogged down by routine tasks. As Pierson noted, the changes encouraged coders to engage more actively in seeking out opportunities for additional revenue.

Mercyhealth witnessed reduced processing times as well, with coding work queues dropping from an average of 16 days to just 7 days. This efficiency has alleviated some of the burdens on healthcare employees, allowing them to concentrate on quality care instead of day-to-day operational struggles.

Overall, the introduction of AI has ensured there is less variability in coder performance, leading to a more uniform approach to claims processing. The staff no longer have to deal with inconsistencies, which further enhances operational efficiency.

Looking Ahead to More AI Solutions

As Mercyhealth continues to reap the benefits of its initial foray into AI, the organization is exploring additional technologies to enhance its operations. The success of autonomous coding has opened doors for new possibilities, and they are actively considering vendors for other AI solutions.

This growth trajectory indicates a promising future not just for Mercyhealth, but for the healthcare industry as a whole. The combination of human expertise and AI can lead to improved outcomes for patients and healthcare providers alike.

What this means for you

For anyone interacting with healthcare systems, this story underscores the growing role of technology in the industry. As processes become more efficient, patients might experience quicker billing and fewer errors. If you ever need to review insurance claim forms, legal-document-to-plain-english-translator/”>AI legalese decoder can translate it into plain English in seconds. The advancements in AI could positively influence everything from patient care to billing, making healthcare more accessible for all.

Source: https://www.healthcarefinancenews.com/news/how-investing-ai-coding-improved-mercyhealths-revenue