SOLVSolventum Corporation

“The good news is our team's confidence is increasing in how much coding can eventually be fully autonomous—now talking 80% to 90% of all coding, inpatient and outpatient. In practice, it takes time to implement, so today there is a definite mix—some customers using autonomous in certain aspects, others not yet, and we continue to proliferate. A good view we can share: during the current strategic plan period, our assumption—given our progress and the trust customers have in our capabilities—is that we could get close to 50% of our customers moving over to autonomous coding.”

“Relative to AI and autonomous coding, I will reiterate what I said on our last call. We see AI as a helpful tool to deliver better outcomes when it comes to autonomous coding, but what differentiates the outcomes is the data, the rules, and the rigor behind them. We are differentially able to leverage AI thanks to our unique ability to efficiently and effectively train it. We built deep rules and algorithms designed to assure accurate and compliant reimbursement coding, and this, combined with our vast datasets and proprietary workflows, allows us to more effectively train and maximize AI and, ultimately, deliver autonomous coding that our customers can trust.”

“Within those hospitals and systems, we will continue to increase the percentage of coding that is autonomous over time, expanding from initial swim lanes. The value proposition—FTE infrastructure reductions, faster productivity and speed to reimbursement, and improved revenue capture from fewer mistakes—is compelling. We are moving rapidly but safely given the compliance and revenue implications.”

“The economics of autonomous coding are compelling. Our customers benefit by improving productivity, eliminating FTE cost infrastructure, and improving revenue capture thanks to increased accuracy. That is a powerful value proposition: reduce cost, improve productivity, and capture more revenue.”