Patients, ‘the fastest-growing payer,’ could also be the best-performing one

Artificial intelligence is becoming part of nearly every layer of the hospital of the future: the exam room, the nurse’s inbox, the supply chain and predictions of readmissions. The next frontier is the patient’s financial experience, the moment care becomes a bill for patients and providers alike.

That matters because finance leaders expect AI to deliver the most value in revenue cycle accuracy and efficiency, alongside clinical quality and workforce productivity. Hospitals already sense where the return sits, but their EHRs haven’t caught up, and neither will generic AI layered on top. The fix is automation that is purpose-built for this problem. 

Patients are now healthcare’s “fastest-growing payer,” according to one CFO in Cedar’s 2026 study, and system-of-record billing portals were not built for the variability of patients’ financial lives. Cedar’s 2026 Healthcare Financial Experience Study found nearly 77% of patient dollars fall into difficult-to-collect cohorts: patients who are uninsured, underinsured, digitally disengaged or managing complex bills. 

Bolting generic AI onto a one-size-fits-all bill simply accelerates the friction. What patients need is technology that can interpret context, explain responsibility and move a balance toward resolution.

Multi-year road maps are costly, but speed cannot come at the expense of judgment. The goal isn’t automation alone. It’s a financial experience that is clearer, more responsive and more trustworthy. 

There’s a trust question here, and the stakes are high. Getting a payment request wrong tells an already-stretched patient that the system doesn’t understand them. That breaks trust. Untrusting patients then disengage instead of working to resolve the issue.

For some providers, a bad review is a real risk. For all, the bigger risk is the balance that never gets paid, showing up months later as bad debt.

Either way, AI that can’t answer and resolve what a patient owes isn’t a value-accruing pillar of your financial strategy. It’s a shiny object.

The strategic test for financial AI is not whether it sounds human. It is whether it can tell patients what they owe, explain why and help resolve the issue without adding friction. Clinical AI helps hospitals deliver care. Patient financial AI determines whether patients can understand what comes after. 

The modern hospital cannot be intelligent in the exam room and primitive at the point of payment. The question is not whether hospitals will use AI, but whether they apply it where financial complexity, patient trust and provider economics meet.

Learn more about AI in healthcare in HFMA’s The Hospital of the Future Part II report.