What Revenue Cycle, CDI, and Denials Teams Need to Know About the Data Payers Receive: Part I

EDITOR’S NOTE: The author of this article used artificial intelligence (AI)-assisted tools in its composition, but all content, analysis, and conclusions were based on the author’s professional judgment and expertise. The article was then edited by a human being.

Most hospital teams assume payer review begins when the chart is requested.

Document integrity specialists refine the record, coders assign diagnoses and procedures, and claims are submitted with the expectation that the payer will evaluate the encounter using the clinical documentation that follows.

But the reality is more complex.

By the time a payer ever requests a medical record, the claim has often already been evaluated through multiple layers of automated analytics. Structured data from claim submissions, prior authorization requests, and historical utilization patterns may already have been analyzed to determine whether the case deserves closer scrutiny.

In other words, payer review often begins not with the chart itself, but with the data generated from it.

Understanding this process requires stepping back and examining what can be described as the payer review pipeline: the sequence through which payer systems receive, analyze, and ultimately determine whether claims will be paid or reviewed.

For revenue cycle leaders, clinical documentation integrity (CDI) specialists, utilization review teams, and denial management professionals, understanding what data Payers receive, when they receive it, and how it is evaluated is becoming increasingly important.

The First Data Payers Receive

The payer review pipeline begins with the transmission of structured information from the patient encounter.

The most familiar of these transactions is electronic claim submission.

Hospitals submit claims electronically using standardized Health Insurance Portability and Accountability Act (HIPAA) transaction formats such as the 837 institutional claims (837I) for facility services and the 837 professional claims (837P) for physician services. These electronic claims contain structured data elements, including diagnosis codes, procedure codes, the assigned Diagnosis-Related Group (DRG), admission source, admission type, discharge disposition, length of stay, provider identifiers, and billed charges.¹

Once submitted, these claims are typically ingested into payer adjudication systems within hours. Automated claim edits begin evaluating the data almost immediately.

These edits are not simply technical checks for formatting errors. Many payer systems incorporate payment integrity analytics, which apply policy rules and statistical comparisons to determine whether claims deviate from expected patterns.²

For example, payer systems may evaluate whether:

• The DRG aligns with expected utilization patterns;
• The length of stay is significantly different from historical benchmarks; and
• Diagnosis combinations are unusual compared to prior claims.

At this stage, the payer has not yet read the medical record. Instead, the claim is being evaluated based on the coded data extracted from the documentation.

Prior Authorization: Data Before Care Occurs

Claims are not always the first information Payers receive about a patient encounter.

For many services, payers receive information earlier through prior authorization requests.

Prior authorization typically occurs before the service is delivered, or before an inpatient admission takes place. Hospitals submit clinical information intended to demonstrate that the planned service meets coverage criteria. This may include procedure codes, diagnosis codes, anticipated level of care, expected length of stay, and supporting clinical summaries.

Historically, these submissions were transmitted through fax or payer portals. Increasingly, hospitals are moving toward electronic workflows integrated within electronic health records (EHRs).

Federal policy is accelerating this transition.

The Centers for Medicare & Medicaid Services (CMS) Interoperability and Prior Authorization Final Rule (CMS-0057-F) requires impacted payers – including Medicare Advantage Organizations (MAOs), Medicaid managed care plans, and Qualified Health Plans – to implement standardized electronic prior authorization workflows supported by Fast Healthcare Interoperability Resources (FHIR)-based application programming interfaces (APIs).³

The rule also introduces transparency requirements that will require payers to report prior authorization approval and denial metrics beginning this year, with broader API functionality expected by 2027.³

These developments mean that structured clinical information may reach payer systems earlier in the care process than many hospital teams realize.

The Expanding Exchange of Clinical Data

Beyond claim and authorization requests, healthcare organizations are increasingly exchanging clinical information through interoperability frameworks.

Application programming interfaces based on the FHIR standard allow systems to exchange structured clinical data elements such as problem lists, medications, laboratory results, and encounter summaries.⁴

These exchanges may occur during authorization workflows, care coordination activities, or administrative data exchanges.

While the primary purpose of these tools is to improve interoperability and patient access to health data, they also expand the structured clinical data environment surrounding the patient encounter.

As a result, payer systems may have access to multiple layers of structured information about a case before the medical record itself is requested.

The Visibility Gap for CDI and Revenue Cycle Teams

For many CDI specialists and denial management teams, this stage of the payer review pipeline remains largely invisible.

Traditional CDI education focuses heavily on improving documentation specificity, ensuring accurate coding, and supporting quality metrics such as severity of illness and risk adjustment.

Denial management teams, meanwhile, often become involved only after a payer determination has already been issued.

Less commonly discussed is the analytic screening that occurs before documentation is ever requested.

Algorithms, policy rules, and benchmarking comparisons frequently determine which claims receive additional scrutiny. These analytic processes occur entirely within payer environments and are rarely visible to hospital teams.

This visibility gap can make payer decisions appear unpredictable.

In reality, many claims that received additional review were selected because they matched a pattern identified by payer analytics.

Why This Matters for Documentation

Understanding this early stage of the payer review pipeline has important implications for CDI programs.

Documentation does not only support coding accuracy.

It also generates structured data signals that payer systems evaluate to determine which claims may require further review.

This means documentation clarity is not only important for coders and clinicians. It is also important for the data models that evaluate claims before human review occurs.

For hospitals focused on denial prevention, this reinforces the need for strong collaboration between CDI, utilization review, physician advisors, and denial management teams.

Each of these groups interacts with different stages of the payer review pipeline.

Bringing those perspectives together can help organizations better anticipate which cases may attract scrutiny.

Looking Ahead

Healthcare reimbursement is becoming increasingly data-driven.

Claims are evaluated through automated analytics before documentation is reviewed, and federal policy initiatives are expanding the electronic exchange of clinical information.

Understanding what data payers receive and how that data is analyzed is becoming essential for revenue cycle teams.

In Part 2 of this series, will examine the next stage of the payer review pipeline: how payer algorithms determine which hospital claims deserve closer scrutiny.

Pulling back the curtain on these processes helps explain why some claims are selected for review while others pass through the adjudication process without additional scrutiny.

References

1. Centers for Medicare & Medicaid Services. HIPAA Administrative Simplification: Electronic Transactions Overview. https://www.cms.gov/regulations-and-guidance/administrative-simplification/hipaa-aca
2. America’s Health Insurance Plans (AHIP). Payment Integrity: Use of Data Analytics in Claims Review.
3. Centers for Medicare & Medicaid Services. Interoperability and Prior Authorization Final Rule (CMS-0057-F). https://www.cms.gov/newsroom/fact-sheets/cms-interoperability-and-prior-authorization-final-rule-cms-0057-f
4. HL7 International. Fast Healthcare Interoperability Resources (FHIR) Standard. https://hl7.org/fhir/