Four Core ECAT eCQM Metrics from the 2026 OPPS Final Rule: What ED Leaders Should Know

What do these emergency department (ED) quality metrics mean for hospital performance, reporting, and improvement?

Since the COVID-19 pandemic, emergency department (ED) boarding and wait times have become increasingly common, with peak wait times tripling in some settings. The operational strain is not just frustrating, but also carries measurable financial and clinical consequences.

Research has shown that even short delays in evaluation can meaningfully increase the cost of care. One economic analysis found that for higher acuity patients, each additional 10-minute delay in evaluation was associated with approximately a 6% increase in hospital costs. Other studies demonstrate that boarding can nearly double the daily cost of care compared to inpatient treatment.

Historically, the Hospital Outpatient Quality Reporting (OQR)/Outpatient Prospective Payment System (OPPS) quality framework has included only limited ED timeliness measures. Prior chart-abstracted measures addressed areas such as left without being seen (LWBS) and ED length of stay (LOS), but those efforts were cumbersome, inconsistently useful, and did not provide a comprehensive picture of ED access, boarding, and throughput. CMS is now phasing out those measures in favor of a new emergency care access and timeliness framework.

In the 2026 OPPS Final Rule, the Centers for Medicare & Medicaid Services (CMS) finalized the Emergency Care Access & Timeliness (ECAT) electronic clinical quality measures (eCQM), with voluntary reporting beginning in 2027, mandatory reporting in 2028, and payment determination implications in 2030.

The ECAT eCQM is a new CMS quality measure designed to track delays in emergency department access, boarding, and length of stay across the full ED visit.

How the ECAT eCQM Measures ED Access and Timeliness

The ECAT eCQM tracks four “must-monitor” ED metrics and rolls them into a composite view of ED access and timeliness:

• Excessive wait time
• Left without evaluation
• Extended boarding
• Prolonged length of stay

CMS’ move to codify these measures sends a clear message: ED throughput bottlenecks are being treated as patient safety and accountability signals, and not just operational pain points.

First and foremost, ECAT is not simply four separate performance indicators. It is an episode-based eCQM that will ask whether an ED visit included any quality gaps in access and timeliness, and if so, that encounter will enter the numerator. This design makes ECAT harder to improve through isolated fixes. It reflects whether the overall visit stayed on track.

Three nuances matter for ED operations:

1. One encounter, one count: Encounters are not mutually exclusive. For example, a patient can wait more than one hour and have an LOS greater than eight hours, but the visit will be counted once if any criterion is met, meaning ECAT performance will depend on your overall operations. Performance reflects whether the encounter experienced any access or timeliness failures, and not the number of failures within a visit.
2. Stratification is built in: Results will be stratified by age group (pediatric versus adult) and by mental health diagnosis status. This is not a minor technical detail. Stratification allows organizations to identify where access and timeliness constraints are concentrated, whether delays disproportionately affect pediatric patients, behavioral health populations, or specific high-acuity cohorts. Without examining performance by subgroup, important operational patterns may be masked within aggregate rates.
3. Observation stays will be treated differently: Under the current ECAT specification, ED encounters that include observation stays remain in the denominator but are excluded from the numerator criteria for No. 3 (boarding) and No. 4 (ED length of stay). This distinction is operationally significant. It means observation workflow design, accurate encounter classification, and consistent time stamp logic will materially affect reported ECAT performance.

Finally, scoring will not be purely a raw proportion, but rather a standardized z-score by ED visit volume strata, meaning peer comparison will matter.

What does each metric actually tell you operationally, and what are the practical implications for ED leaders and quality teams preparing for ECAT reporting?

Metric 1: Excessive Wait Time (Arrival-to-Treatment Room > 1 Hour)

Definition (ECAT): The patient waited longer than 60 minutes after ED arrival to be placed in a treatment room or dedicated treatment area with audiovisual privacy for history and physical exam.

In practical terms, this metric monitors the front-end throughput of the ED. If patients are spending more than 60 minutes in the waiting area before they even get to a dedicated treatment room or treatment area for examination, it’s a glaring sign of bottlenecks at intake. ED leaders already know that a prolonged door-to-room time can negatively impact patient flow and throughput, but the ECAT now frames it as a quality issue.

Common drivers include demand exceeding staffed capacity, slowed room turnover due to boarding, and intake workflow friction (triage, registration, clinician availability).

Extended waits at arrival often contribute directly to the next metric, that is, patients leaving before they can even be evaluated.

Metric 2: Patient Leaves Without Evaluation

Definition (ECAT): The patient leaves the ED without being evaluated.

This measure replaces the prior “left without being seen” metric but is conceptually tighter because it relies on standardized EHR data elements. Beyond potential compliance implications, patients who leave before evaluation often have higher rates of return visits and subsequent admission, making this more than a patient experience issue. It’s a quality and resource utilization signal.

Operationally, rising rates of “left without evaluation” typically move in parallel with prolonged arrival-to-room times. However, they may also reflect communication gaps, queue transparency issues, or misalignment between patient expectations and ED workflow, particularly among lower-acuity cohorts.

Data governance is critical. The ECAT logic requires a clear distinction between “left without evaluation,” AMA departures after evaluation, elopements, and other nonclinical exits. In organizations where ED disposition documentation varies by physician or site, deliberate validation of mapping and time stamp logic will be essential to ensure accurate reporting.

Metric 3: Extended Patient Boarding (> 4 Hours After Admission Decision)

Definition (ECAT): For admitted patients, boarding is defined as time from decision-to-admit to ED departure, and a quality gap occurs when that exceeds 240 minutes (4 hours).

This is the metric that will shift accountability beyond ED to the whole hospital throughput, and maybe a welcome KPI for ED teams that have felt alone due to ever-increasing volumes and boarding. Beyond literature that supports associating boarding times with morbidity, mortality, and cost, this metric will help to push hospital executives to find new ways to streamline hospital admission and discharge processes.

ECAT is explicit that “decision to admit” can be captured through multiple proxies, for example, admission order, bed assignment, start of inpatient admission, or an evaluation resulting in a decision to admit. If your organization has any variability in how admission decisions are time-stamped or if bed assignment occurs before or after key order events, you will need a consistent, defensible hierarchy for capture.

By making boarding a reportable quality signal, CMS is effectively formalizing what ED leaders have long known: Boarding is a system throughput issue, not an ED-only metric. The practical implication is that admissions workflow, bed management, and discharge timing will increasingly show up in ED quality performance.

Metric 4: Prolonged Length of Stay (ED LOS > 8 Hours)

Definition (ECAT): ED length of stay is measured from arrival to physical departure from the department, and a quality gap occurs when LOS exceeds 480 minutes (8 hours).

An eight-hour ED visit is not a normal occurrence. At almost triple the length of the average, it’s a sign that something or multiple things didn’t go as efficiently as they should have. This metric functions as a high-end tail indicator of throughput failure.

Prolonged stays may include patients experiencing extended boarding, but they can also reflect factors outside of direct ED control, including complex diagnostic workups, prolonged consultation response times, behavioral health placement delays, or transfer barriers. In other words, LOS >8 hours is an outcome measure that aggregates multiple operational frictions across the care continuum.

For ED leadership, tracking the frequency and drivers of extended LOS events is essential. Each prolonged stay represents an opportunity for focused review to determine whether the bottleneck originated in intake, evaluation, disposition decision-making, inpatient bed availability, or external placement constraints.

Reducing extreme LOS events will require coordinated, cross-departmental action, including collaboration with inpatient units, radiology, consulting services, bed management teams, and external facilities when applicable.

The Operational Big Picture for ED Leaders

Taken together, these four metrics give a 360-degree view of where an ED’s flow can break down, whether it’s at the start (arrival wait), middle (evaluation or decision-making), or end (disposition and boarding) of the visit. ECAT encourages ED and hospital leaders to look at patient movement across the full visit rather than optimizing one time stamp in isolation.

CMS’ inclusion of these metrics in a national reporting program also raises the stakes. Performance on these ED measures[AG2] will be publicly reported and eventually tied to Medicare’s quality incentives and penalties. This may impact the Outpatient Quality Reporting program and star ratings, even as the bottom line puts pressure on hospital executives and quality officers to support EDs. For ED leaders, the upside is that this can be leveraged to secure resources and cross-department collaboration, since the whole institution now has skin in the game.

Turning Data Into Action: How d2i Supports ECAT Readiness and Improvement

ECAT reporting will pressure-test three things:

• Data fidelity & quality: Time stamps, encounter classification, observation logic
• Shared definitions: Consistent logic across sites and stakeholders
• Causal insight: Moving from what happened to why it happened, and where improvement is possible

Many organizations will be challenged not by a lack of data, but rather by a lack of trusted, contextualized data that clinicians and operational leaders recognize as reflective of real workflows.

This is where d2i’s approach becomes relevant.

Rather than layering dashboards on top of fragmented reporting systems, d2i integrates ED, inpatient, and ancillary data into a unified analytic framework. Definitions are standardized and validated so that time stamps and encounter classifications withstand clinical scrutiny. Stratification is built in, allowing fair comparisons across age groups, mental health cohorts, and ED volume tiers.

We help you take an integrated acute care approach.This framework is based on managing hospital capacity and patient flow as a coordinated operational system rather than a collection of disconnected departmental processes.

Most importantly, analytics extend beyond point estimates to identify the operational drivers contributing to excessive waits, boarding, prolonged LOS, and patients leaving without evaluation.

In practical terms, that means ECAT becomes more than a compliance requirement. It becomes a structured pathway for identifying where throughput breaks down and what levers can realistically move performance.

If you are preparing for voluntary ECAT reporting in 2027 or planning ahead for mandatory reporting in 2028, d2i can help validate your measure logic, establish credible baselines, and translate regulatory expectations into a targeted improvement roadmap.

Ready to make your emergency department data matter? Start a conversation with d2i.

We’ll explore how high-fidelity, context-aware analytics can support ECAT measurement and performance improvement across excessive waits, left without evaluation, boarding, and prolonged LOS.