Revenue-Cycle and Claims Pathway Analysis

Treat each claim as a connected pathway

Revenue-cycle systems often divide one patient episode across appointment, eligibility, authorisation, clinical, coding, billing and payment records. Each team can report its own completion time while the complete claim remains delayed.

Marketways defines the case that links these events. The case may be a visit, procedure, admission or claim line, depending on the decision. We reconcile patient, encounter, order, authorisation, claim and remittance identifiers so that the analysis follows one pathway rather than comparing unrelated totals.

This foundation matters because an incorrect case definition can invent delay or hide it. A resubmission may appear to be a new claim, and one claim may contain several services with different outcomes. The event log must preserve these distinctions before process analysis begins.

Use denial information as the start of an investigation

A denial category describes how a payer classified an outcome. It does not always identify the event that caused it. The same category may follow missing authorisation, incomplete documentation, coding inconsistency, eligibility rules, timing or payer interpretation.

Marketways traces the denied claim backwards through its evidence and handoffs. We identify when the missing or conflicting information first became knowable, which team could act and whether the issue could have been prevented before submission.

This analysis changes the management response. A billing team may resolve an individual denial, but the organisation reduces recurrence only when it corrects the upstream mechanism.

Reconstruct the actual sequence and waiting time

An approved process map describes how a claim should move. However, system timestamps show how cases actually move, including repeated checks, informal queues and returns that the documented process may omit.

Marketways creates an event chronology from relevant systems. Process mining reveals common variants, waiting between steps, repeated activity and paths associated with denial or late payment. Conformance analysis then compares those paths with the approved procedure.

The comparison requires interpretation. A deviation may represent an error, a necessary exception or an adaptation to a system limitation. We examine the case context before recommending that management enforce or remove the variation.

Locate rework before the claim is submitted

Revenue-cycle delay can begin when staff schedule a service, confirm coverage or obtain authorisation. A missing referral, incorrect demographic record or unclear order may remain invisible until coding or payer review.

Marketways measures the first occurrence of the problem and every subsequent correction. This distinguishes the team that inherits rework from the event that created it. It also identifies where an earlier validation could prevent repeated patient contact, staff effort and payment delay.

Moving a check earlier is useful only when the required evidence exists at that stage. An early rule that rejects incomplete but legitimate cases can create a new barrier to care. The redesign must therefore include an exception route and a responsible reviewer.

Keep clinical and financial authority distinct

Clinical documentation and financial workflows share patient, service and diagnosis information. However, they do not assign the same authority to that information. A predicted denial does not establish that a clinician should change the clinical record, and a payment rule cannot determine a diagnosis.

Marketways maps which team may create, clarify, code, submit, correct and approve each item. We preserve the source of every proposed change and the evidence available to the responsible person. Clinical questions return to qualified professionals, while authorised coding and revenue-cycle teams apply the relevant administrative and financial rules.

This boundary protects both integrity and efficiency. It allows automation to identify an inconsistency without granting it authority to alter the meaning of care.

Explain variation before targeting it

Denial and delay rates can differ by payer, service, location, clinician, code or patient group. A simple comparison shows where outcomes differ. However, it cannot explain what caused the difference.

The variation may reflect case complexity, missing information, payer policy, workflow design, staffing or measurement. Marketways tests plausible explanations against the complete case history. We use suitable statistical models to separate material relationships from ordinary variation and to identify where further evidence is required.

This step prevents management from targeting a visible team or category when the underlying mechanism lies elsewhere. It also prevents a small number of unusual cases from driving a broad process change.

Predict review needs without converting probability into fact

A model can estimate which claims are likely to require additional evidence, payer review or appeal. The estimate can help staff prioritise work before filing deadlines or preventable omissions become difficult to correct.

However, a high predicted denial risk does not prove that the claim is invalid or that the documentation should change. Marketways evaluates prediction quality, calibration, subgroup performance and workload at the proposed threshold. We also test whether the prioritised team has enough time and authority to respond.

The model supports a review decision. It does not replace the evidence and professional judgement required to change or submit a claim.

Use Agentic AI for bounded case preparation

A revenue-cycle case may require staff to retrieve authorisation, documentation, coding history, claim status and payer correspondence from several systems. An Agentic AI workflow can assemble authorised records, identify missing administrative evidence, draft a permitted query and monitor the response.

Marketways defines the agent's data access, tools, actions and escalation conditions. The agent must preserve patient and encounter identity, cite the source of each claim and stop when records conflict or a clinical question arises.

The workflow cannot fabricate documentation, alter clinical meaning or submit a consequential correction without the required approval. Its actions, proposed changes and handoffs remain traceable.

Measure resolution without shifting the backlog

Management may improve one revenue-cycle measure by moving work to another team or delaying a difficult case. A lower denial count alone cannot establish that the complete pathway improved.

Marketways measures clean-claim performance, initial denial, preventable denial, payment time, appeal outcome, rework, correction, write-off and staff effort. We also examine patient delay and repeated contact when administrative requirements affect scheduling or access.

Results are separated by payer, service and failure mechanism. The analysis compares the revised pathway with an appropriate baseline and checks whether faster processing increased errors or shifted unresolved cases downstream.

An authorisation denial illustrates the analysis

Suppose a provider sees a rise in denials for procedures that require prior authorisation. The denial report points to billing, but the complete chronology shows several different paths.

Some appointments were scheduled before eligibility verification. In other cases, the payer changed its requirements after authorisation began. A third group received approval, but the authorisation identifier did not reach the submitted claim. Each group produces a similar financial outcome, yet each requires a different intervention.

Marketways would quantify the pathways, test their relationship with denial and measure the time available for prevention. Management could redesign eligibility checks, maintain payer-rule ownership and validate the transfer of approved authorisations into claims. The response would address the cause of each failure instead of applying one correction to every denial.

How Marketways redesigns the claims pathway

Marketways combines Process and Workflow Analysis and Redesign, Operational Performance Diagnostic and Process Mining. We reconstruct complete cases, locate upstream causes, test variation and redesign evidence, handoffs and exception routes.

The resulting analysis tells management which failure mechanism creates delay or denial, where the organisation can intervene and which clinical, coding and financial authorities must remain distinct.

Related guides and evidence

• Insurance Claims Triage and Leakage Analysis
• Patient Flow and Waiting-Time Redesign
• Agent Tools, Integrations and Permissions
• AI Workflow Automation in Healthcare and Life Sciences