Cotiviti Blog

Inpatient claim review in 2026: 5 key trends and recommendations

Written by Amy Carleton, RN, BSN | Apr 22, 2026 2:07:50 PM

Inpatient spend remains one of the most significant and complex cost categories for health plans. As utilization continues to rise across populations, inpatient payment is increasingly shaped by demographic shifts, regional migration, clinical complexity, and fragmented data flows. These pressures have highlighted the practical limitations of traditional payment integrity approaches that rely primarily on broad audits or single‑point interventions. Managing inpatient risk today requires a more targeted, data‑driven strategy—one that prioritizes precision, accuracy, and sustainability.

Utilization is driving inpatient spend growth

Inpatient spend trends observed across multiple analyses point primarily to utilization growth rather than material changes in cost per claim, patient severity, or length of stay. Stable spend per claim and line of service indicate that rising inpatient costs are primarily the result of more members entering the system, rather than sicker patients or higher unit prices.

Increased membership and utilization in southern states, driven by ongoing population migration, have contributed to higher admission volumes in those regions. At the same time, post-public health emergency care catch‑up has added incremental utilization pressure. Much of this volume is tied to routine, expected life events, including maternity and neonatal care. Within higher‑acuity cases, sepsis continues to drive severe, high‑cost claim intensity, while the top quartile of inpatient spend reflects a balanced mix of expensive surgical interventions—such as spinal fusions and craniotomies—and exacerbations of common chronic conditions like heart failure.

Inpatient cost drivers vary significantly by line of business

Inpatient utilization trends diverge meaningfully across Medicaid, Medicare, and commercial populations, underscoring the need for differentiated oversight strategies. Medicaid inpatient spend continues to be driven heavily by maternity and behavioral health admissions, including psychiatric care. Enrollment churn has further complicated Medicaid utilization patterns, introducing variability as members lose, regain, or transition coverage.

Medicare inpatient growth is shaped primarily by aging demographics. Each year, increasing numbers of older members enter Medicare, producing steady growth in admissions and spend. Chronic conditions, ICU‑level interventions, and complex inpatient stays become more prevalent, creating sustained financial pressure over time.

Commercial inpatient trends reflect a different dynamic. Rising unit prices and increased inpatient intensity have contributed to higher costs per stay, particularly for complex surgical procedures. In this population, inpatient spend is less about volume alone and more about the combination of utilization and price sensitivity. These distinctions make it clear that inpatient payment integrity should be tailored by population and clinical profile rather than applied uniformly.

Sepsis highlights the importance of accuracy over volume reduction

Across all lines of business, sepsis stands out as approximately 14% of inpatient costs. Among Medicare members, sepsis represents a particularly high share of total hospital spend, with commercial and Medicaid populations also experiencing meaningful financial impact (Figure 1). Despite its prominence, overall sepsis‑related inpatient costs have remained relatively stable over time.

Figure 1. Sepsis contribution to total eligible inpatient spend, 2023-2025 (Source: Cotiviti data).

This stability suggests that the opportunities for improvement are less about reducing sepsis admissions and more about supporting accurate clinical documentation and coding representation. Sepsis claims are inherently high‑cost and clinically complex, making them especially sensitive to documentation quality, diagnosis sequencing, and severity validation. Small discrepancies in clinical documentation or coding can significantly alter payment outcomes.

For health plans, sepsis illustrates why indiscriminate auditing is ineffective. Precision‑driven review—focused on validating severity and clinical alignment—offers a more sustainable path to addressing overpayment risk while respecting provider effort and clinical realities.

Data complexity increases the risk of inaccurate payment

Inpatient DRG claims are influenced by dozens of interdependent variables, including diagnosis sequencing, present‑on‑admission (POA) indicators, complications, procedural context, and severity scoring. A single misaligned data element can materially change how a claim is evaluated for payment accuracy.

Fragmented data environments compound this challenge. Incomplete diagnosis sets, missing indicators, or inconsistent claim history reduce selection accuracy and increase the likelihood of unnecessary or unsuccessful reviews. Integrating more comprehensive inpatient data—including full diagnosis code sets, POA indicators, claim history, and relevant clinical documentation—can significantly enhance both precision and sustainability.

Better data allows payment integrity teams to prioritize the right claims rather than expanding review volume. It reduces redundant audits, improves provider agreement rates, and helps ensure that interventions are defensible and clinically grounded.

Review type should be aligned to claim complexity

Effective inpatient oversight depends on matching the level of review to the complexity and financial risk of each claim. Automated edits remain valuable for clear‑cut scenarios, such as eligibility issues, duplicate billing, or policy‑based denials. These interventions provide scale, consistency, and efficiency but are limited by structured data alone.

Human review introduces clinical expertise and coding judgment, enabling interpretation where nuance exists and rigid rules fall short. Documentation‑based review offers the highest level of scrutiny and is essential for complex, high‑cost claims where severity of illness, level of care, or diagnosis validity cannot be fully assessed through claims data.

When these approaches are aligned across both prepay and postpay workflows, they form a cohesive lifecycle strategy designed to minimize rework, limit provider abrasion, and improve long‑term accuracy.

Recommendations for strengthening inpatient payment integrity

Rising inpatient utilization and increasing claim complexity require a deliberate, phased approach. Health plans can make meaningful progress by focusing first on immediate risk stabilization, then refining and aligning review activities in the near term, and finally building a scalable, sustainable inpatient strategy over time. Consider these next steps.

Immediate actions (next 30 days)

Shortterm actions (30–90 days)

Longterm actions (90–365 days)

  • Prioritize high-cost, low-volume inpatient claims to identify DRGs, admissions, and facilities driving disproportionate share of inpatient spend.
  • Assess current claim review coverage across the continuum and find gaps where claims are flowing through without sufficient scrutiny.
  • Analyze provider billing patterns for variability, using these insights to refine editing logic.
  • Align clinical, coding, and analytics stakeholders to establish consistent criteria.
  • Expand data integration for smarter claim selection to improve prediction accuracy and claim prioritization.
  • Standardize review pathways by claim complexity to reduce unnecessary manual effort.
  • Continuously refresh clinical context and review logic, monitoring emerging inpatient trends.
  • Measure sustainability, not just recovery, using insights to refine intervention points.

Taken together, these insights reinforce the need for a more precise, data‑driven approach to inpatient payment integrity, balancing rising utilization, clinical complexity, and sustainable oversight as pressures on inpatient spend continue to grow.

eBook: Future-proof your payment integrity programs

Advanced analytics and AI can significantly enhance payment integrity efforts by identifying patterns, summarizing complex medical records, and supporting expert reviewers. However, AI is a tool, not a replacement for clinical judgment. Future‑ready programs strike the right balance between leveraging automation where appropriate and keeping human expertise at the center of decision‑making.

Get a deeper dive into understanding how to future-proof your payment integrity program. Read Future-proofing payment integrity to learn more from recent payment integrity trends, best practices, and more.