At a glance
Sweeping changes to healthcare coverage and reimbursement under the One Big Beautiful Bill Act (OBBBA) will put pressure on patient access. In the second webinar of Experian Health’s three-part OBBBA series, industry leaders discussed how automation and artificial intelligence (AI) can help protect revenue as coverage becomes more volatile.

Key takeaways:
- OBBBA shifts income risk up front, as more frequent eligibility changes and stricter verification rules make coverage less predictable and increase the risk of denials.
- Upfront accuracy is now a revenue protection strategy, and providers need to verify coverage earlier and reduce data errors that can cascade throughout the revenue cycle.
- Automation and artificial intelligence are becoming essential to manage loss of coverage by improving data accuracy and reducing manual effort.
Coverage, reimbursement and eligibility workflows will change significantly under the Law on a big and beautiful bill. While the headlines focus on funding cuts, the real operational impact will be felt first in patient access. How should healthcare organizations prepare?
This was the focus of the Experian Health report. second webinar in a three-part series on how to navigate OBBBA. Kate Ankumah, chief product officer (patient access) at Experian Health, described how the new law is likely to impact front-end operations and what providers can do now to reduce revenue leakage before it turns into denials and bad debts. This article summarizes the main messages.

Webinar 2: From political impact to operational readiness: addressing the initial consequences of OBBBA
Watch Webinar 2 of our three-part webinar series to learn practical steps to protect first-pass claims rates, reduce denials, and strengthen pre-service authorization.
OBBBA Summary: Key Changes Impacting Patient Access
In the first session In the OBBBA series, Joel White, national health care policy expert and partner at Monument Advocacy, analyzed the new policy landscape, which is expected to result in Medicaid cuts of more than $914 billion and about 7.8 million people lose coverage.
| OBBBA reforms include: |
| – New Medicaid enrollment thresholds, state funding and redetermination rules that could increase uninsured and self-pay volumes |
| – More frequent eligibility redeterminations and more stringent implementation data verification requirements, creating administrative complexity for providers. |
| – A move to “moving coverage,” where coverage can change at multiple points in the patient journey, meaning eligibility cannot be treated as a one-time verification. |
What this means for patient access teams
These policy changes will increase operational pressures in the initial phase:
- Data checks will carry more risk: Stricter rules around address validation, Social Security number cross-checks, and cross-state enrollment make small registration errors more likely to result in failed eligibility checks.
- Initial accuracy becomes revenue protection: teams must confirm coverage earlier and more accurately to avoid denials.
- Stricter coverage means more uninsured and self-pay patients: Tighter eligibility for immigrants may increase uninsured patient volumes in some markets.
“This increases the risk of initial denial and makes critical real-time eligibility verification mission”said Rob May, senior director of marketing at Experian Health.
“The message is really clear: As patient responsibility grows and payer scrutiny intensifies, revenue risk appears earlier than ever.”
Rob May, senior director of marketing at Experian Health
Best Practice Providers Can Act Now
| Ankumah highlighted several ways healthcare providers It can be prepared as OBBBA is implemented: |
| 1. Rerun Medicaid and Medicare checks closer to your service date. |
| 2.Use automated discovery rather than relying on staff to seek additional coverage. |
| 3. Have a back-end safety net provider to provide support as retroactive coverage periods are reduced. |
| 4. Communicate clearly with patients so they understand how their coverage may change and what documentation they need to provide. |
| 5. Work closely with providers as payer behavior evolves. |
These focus on the front end, but optimizing collections and claims workflows will be equally important. This will be covered in the third webinar of the series.

Register for Webinar 3: Defending margins under OBBBA
This session closes out our OBBBA series by showing how leading health systems are using data and automation to protect margins in a highly uncompensated care environment.
Automation is the key to preventing front-end fallout
As providers adapt, one issue becomes clear: It all depends on getting patient data right the first time. Ankumah says, “Bad data is like a virus,” where errors do not remain contained in the record but spread throughout programming, clinical workflows, the business office, and collections.
Under OBBBA, that risk increases. In a more stable environment, incomplete data could still yield coverage that is “good enough” for the claim to be filed or paid. But as coverage changes more frequently, missing or incorrect identifiers will make it more difficult to verify eligibility or find coverage. A legacy model that relies on staff to perform and repeat checks will be more difficult to sustain.
“The OBBBA is going to expose how expensive this linear process is in terms of real dollars, time and labor; the sooner you can prevent bad data from entering the system, the less expensive it will be to fix.”
Kate Ankumah, Director of Product Management at Experian Health
May agreed that manual systems will not be enough. “Organizations that invest in accuracy, automation and early intervention will be much better prepared to protect revenue while maintaining patient confidence in a more volatile eligibility landscape.”
How Patient Access Curator Mitigates the Risk of OBBBA
The discussions turned to Patient Access Curator™ (PAC) as a possible solution to address bad data before it reaches its final destination. Ankumah explained: “It uses automation and machine learning behind the scenes to resolve missing or incorrect information in real time and within the existing workflow.”
Bringing together patient demographics, eligibility verification, insurance discovery, coordination of benefits (COB), and Medicare Beneficiary Identifier (MBI) lookup into a single process helps improve data accuracy, reduce burden on front-line staff, and avoid avoidable denials.
Ankumah pointed to MetroHealth as an example, where implementation Patient Access Curator led to a 44% reduction in COB denials, a 20% drop in registration denials, and a 37% reduction in eligibility denials.
Frequently asked questions
Patient Access Curator is Experian Health’s front-end solution designed to automate key patient access tasks such as demographics, eligibility, MBI checks, COB and coverage discovery within your existing workflow. Use machine learning and automation to improve the accuracy of initial data and reduce revenue loss.
Many of the most significant changes will begin to be implemented from late 2026 to 2027, and additional impacts on enrollment and eligibility will continue after that. Because the timeline varies by provision, healthcare organizations should start preparing now rather than waiting for all the changes to take effect.
What to prioritize in the next six months
Even modest improvements now could help reduce exposure in the future. The session concluded with a suggestion of a six-month plan to move forward, outlining areas to focus on. Watch the full webinar for the details.
Learn how Experian Health is helping healthcare organizations prepare for OBBBA with front-end strategies and solutions like Patient Access Curator.

