Five Open@Epic 2026 insights for revenue cycle.

From connection to execution.

Open@Epic 2026 brought developers and healthcare leaders together around connectivity and implementation. What stood out to me from the conference was how quickly a strong connection can lose value in a real revenue cycle workflow. Across sessions and conversations, people returned to the same challenge: moving data is only the start. Financial value appears when a connection advances an account, reduces manual work, or exposes reimbursement risk earlier.

I left with five takeaways for revenue cycle leaders: standards enable connectivity, workflow ownership creates value, and governance supports scale.

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1. Connections must survive real work. | Connections Must Survive Real Work

‍A recurring theme at Open@Epic was the importance of moving beyond successful integration to reliable, repeatable execution. Once an integration goes live, it needs to handle the demands of daily operations, including high transaction volumes, incomplete information, and unexpected exceptions. Any disruption can affect revenue cycle performance, making reliability a financial priority as much as a technical one.

For revenue cycle leaders, this distinction has financial implications. An integration that works inconsistently can still create manual workarounds, delay authorizations, or leave accounts waiting for information needed to move forward. Testing before launch and monitoring after go-live mean less troubleshooting and more time improving workflows. 

2. APIs need someone accountable. | APIs Need Someone Accountable

Application programming interfaces (APIs) need an operational owner. Each use case needs a defined trigger, exception path, documentation standard, and accountable team.

The opportunity for health system CFOs and RCOs is to connect API performance to workflow outcomes. Tracking whether accounts advance, exceptions are resolved, and manual follow-up decreases provides a more meaningful picture than transaction volume alone. 

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From API response to revenue cycle results

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3. Agents must earn their keep. | Agents Must Earn Their Keep

Agentic AI generated plenty of interest, but the more useful question is where it adds value. Agentic automation fits best where volume is high, rules are defensible, and exceptions are bounded. Eligibility verification fits the bill well: automation handles repeatable checks while practitioners resolve ambiguous coverage or payer responses. Coding, payer-policy research, and A/R follow-up offer similar potential. 

A useful way to evaluate an agent is to follow one account from start to finish. Did the system retrieve the correct information, make an approved recommendation, and hand off a genuine exception to the right person? 

A faster automated step is helpful. A resolved account, with less rework and a clear audit trail, is a business result.

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4. Governance starts before launch. | Governance Starts Before Launch

Governance belongs in the original design. Conversations about autonomous workflows at the conference raised a familiar risk: capability can expand faster than accountability. Human validation, role-based permissions, auditability, security controls, and escalation thresholds need to be defined before launch. Retrofitting them after a workflow has started changing accounts is an expensive way to discover who owns the decision.

Revenue cycle AI governance needs to establish who authorizes an action, which evidence the system uses, which changes require review, and how drift is detected. These controls are especially important for coding, authorization, payer-policy interpretation, and claim changes. 

5. Better data, sharper decisions. | Better Data, Sharper Decisions

Better data exchange should sharpen decisions, not simply add another source of information. Combining claim, remittance, contract, and payer-policy data can expose where expected reimbursement diverges from payment. A useful signal identifies which variance deserves attention, who owns it, and how long the organization has to act. 

Comparing payer performance across sites can reveal recurring underpayments or claims stuck at the same handoff. Route those issues before they age into unpaid balances, then use the pattern to prevent recurrence.

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Production value is the test. | Production Value Is the Test

The conversations at Open@Epic reinforced something all technology leaders need to keep front and center: the best innovations make complex work simpler for the people relying on them. This means choosing where technology can make the greatest difference, building accountability into the workflow, and measuring success by what improves for the organization.

For revenue cycle leaders, the test comes after implementation. Are accounts moving forward with fewer manual interventions? Are exceptions being resolved before they delay reimbursement? Are teams gaining capacity without sacrificing accuracy? These outcomes tell us far more about the value of an investment than the number of integrations completed or tasks automated.

A successful demo gets people excited. Seeing technology perform reliably in daily operations is what builds confidence and justifies continued investment. The real achievement is turning technical progress into financial performance that lasts.

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Key Takeaways

• Interoperability creates value when a live workflow reaches a measurable financial outcome.
• API success depends on ownership of routing, exceptions, documentation, and the next account state.
• Agentic workflows need a unit-level business case tied to resolved work, accuracy, and cash impact.
• Governance designed before launch protects auditability, scalability, and reimbursement integrity.
• Technology and finance leaders need shared measures that connect system events to revenue cycle results.