Healthcare providers are heading into 2026 facing increased scrutiny around documentation and billing processes. As payer reviews become more automated and precise, inconsistencies between clinical notes and coding requirements are being identified faster, placing pressure on workflows that rely on retrospective review.
Moghis Uddin, CEO of AlethianAI, says many of these challenges stem from how documentation and billing are handled across the care process. Denials, he explains, are most often tied to missing or insufficient detail in the record rather than the care delivered.
The Limits of Passive Documentation Tools
AI tools that transcribe patient encounters and generate visit summaries are now common across healthcare settings. While these tools improve efficiency, Uddin notes that they stop short of addressing the core issues driving denials.
Passive documentation systems capture what was said during an encounter but do not interpret clinical context or assess how documentation supports billing decisions. As payer audits become faster and more automated, that limitation is increasingly costly.
More advanced systems are designed to interpret what matters clinically, identify the factors that drive complexity, and recommend billing codes that align with current standards. Just as importantly, they capture the rationale behind those decisions at the time of care.
Moving Documentation and Compliance Upstream
Traditional workflows often rely on billing teams to identify gaps after the visit has concluded, when clinicians are no longer immersed in the details of the encounter. According to Uddin, this delay is where risk accumulates.
Newer approaches aim to address documentation gaps while the clinician is still engaged. These systems evaluate encounters using the same criteria auditors apply, including the complexity of problems addressed, the data reviewed, and the overall risk profile.
By identifying which issues actually drive medical decision-making, the system can prompt for supporting details in real time, helping ensure documentation aligns with billing requirements before a claim is submitted.
Addressing Documentation Gaps Before Claims Are Filed
Denials frequently occur when records lack the specificity required to support selected codes. Advanced systems are designed to identify those gaps during the encounter and prompt clinicians for the information needed to support accurate coding.
Rather than relying on rigid templates, these tools use contextual reasoning to infer clinical priorities, validate documentation against coding requirements, and ensure alignment before claims are submitted. This approach reduces the number of technically vulnerable claims entering the revenue cycle.
How Automation Is Changing Billing Roles
As AI takes on more repetitive coding and scrubbing tasks, the role of human billing professionals is evolving. According to Uddin, automation allows billing teams to focus on higher-value work, including appeals, payer-specific policy interpretation, edge cases, and oversight of automated workflows.
Instead of spending time requesting clarifications from clinicians, billing professionals increasingly act as strategists and reviewers, ensuring systems remain aligned with changing regulations and payer expectations.
Looking ahead, Uddin expects growing emphasis on being able to demonstrate how documentation, coding, and billing decisions connect across the full care process. As care delivery becomes more distributed and supported by automation, maintaining clear records of decisions and actions will become increasingly important.
