HEMIC Partners with EvolutionIQ to Transform Claims Management
How Conflicts & Discrepancies in Medical Records Add to Case Complexity
How to detect and resolve medical discrepancies earlier
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Claims professionals know that medical records aren’t always straightforward. In fact, conflicting information is one of the biggest hurdles in assessing claim validity and determining next steps. These discrepancies can appear in different ways—between treating providers, within a claimant’s own statements, or even across multiple medical reports over time.
These conflicts within medical information can be interpreted in different ways as a claim shifts stakeholders across the management lifecycle. When left unaddressed, claim management can encounter layers of complexity and conflict between team members, in communication with claimants, and ultimately slow down claim resolution, increase costs, and create uncertainty in decision-making.
The Most Common Medical Record Conflicts in Claims
Looking at historical claim data across multiple carriers we’ve identified the most frequent conflicts that arise in medical records.
First, conflicts in medical records often arise when different providers offer contradictory diagnoses or treatment plans. One physician may classify a condition as temporary, while another deems it permanent. In some cases, a treating doctor might recommend conservative treatment, whereas an independent medical evaluator suggests surgery. Such disagreements force claims professionals to determine which medical opinion holds more weight, a task that is difficult without clear guidance.
A second common source of discrepancy is inconsistency in work status and functional capacity assessments. A claimant might report severe limitations to one provider while describing greater functional ability to another. Physicians may disagree on whether a claimant is ready to return to work, leading to conflicting recommendations about disability duration. These inconsistencies make it challenging for claims professionals to assess when benefits should continue or when work restrictions should be lifted.
Finally, medical contradictions can also develop over time. A claimant’s reported symptoms or restrictions may shift in ways that don’t align with medical expectations. Earlier reports might indicate that maximum medical improvement (MMI) has been achieved, while later records suggest ongoing deterioration. These discrepancies raise concerns about the true severity of the condition and whether new medical factors are influencing the case.
Why Discrepancies Matter in Claims Handling
When medical contradictions go unnoticed, claim resolutions are delayed, unnecessary costs accumulate, and claimants remain in limbo.
- Legal Risk: The stakes are even higher in cases involving litigation, where inconsistencies in medical records can be used to challenge claim decisions.
- Delays and Poor Employee Experience: Delays caused by conflicting reports not only affect claimants but also strain claims teams, increasing their workload as they try to untangle complex medical histories.
- Higher Costs: Beyond delays, medical discrepancies introduce financial risks. Claims that should be closed remain open longer than necessary, driving up costs. In other cases, the inability to resolve conflicts efficiently results in overpayment or unnecessary medical expenses. The lack of a clear medical narrative can also lead to disputes with providers, employers, or even legal representatives, further complicating the process.
The Need for Intelligent Medical Record Analysis
For claims professionals, identifying these inconsistencies should be frictionless, so that more time can be spent determining the right strategy for the claim. Advanced medical record analysis tools can help by surfacing discrepancies in real-time, highlighting patterns in provider reports, and providing traceability to source documents. Instead of spending hours cross-referencing medical opinions, claims professionals can focus on resolving conflicts efficiently and making informed decisions.
By leveraging AI to detect and resolve medical discrepancies early, claims teams can reduce delays, improve claim outcomes, and ensure that decisions are based on a complete and reliable medical picture.