Overview
Measure Overview
This measure aims to reduce patient harm and improve outcomes for patients requiring emergency care in an emergency department (ED) by addressing the variation of emergency care and measuring the capacity and quality of emergency care. There are long-standing concerns about parameters that impact the quality and timeliness of care in the ED. Currently, no national metrics assess the proportion of patients impacted by the quality of timely ED care.
CMS is considering including this quality measure in the Hospital Inpatient Quality Reporting Program as the measure supports the agency’s quality improvement efforts to prevent harm and improve outcomes for patients by addressing the variation of access and timeliness to receiving care.
The measure also aligns with the Meaningful Measures Framework 2.0’s prioritization of digital quality measurement as well as the measurement priority areas of safety and patient-centered care. Limitations in access and timeliness of emergency care (including long wait times and ED boarding and crowding) have been shown to be associated with increases in mortality, delays in care, preventable errors, poor patient experience, and staff burnout. Emergency departments’ efficiency and patient throughput are closely tied to inpatient capacity, care coordination and hospital-wide operational processes. Quality gaps in ED access and timeliness often reflect inpatient boarding delays, bed management inefficiencies, or discharge bottlenecks—all of which fall under the hospital’s control and reflect system-level inpatient operations. Including this measure in the inpatient quality programs promotes accountability for hospital-wide performance rather than viewing ED processes in isolation.
Measure currently used in a Medicare program being submitted without substantive changes for a new or different program.
Measure was Endorsed with Conditions in 2024. When the measure returns for maintenance (3 years), the measure developer should have:
- Explored any unintended consequences to patients and providers (burden) by engaging with the patient community and accountable entities (e.g., qualitative assessments, empirical analyses); and
- Explored the component measures to identify and address where challenges may persist, including engaging accountable entities.
N/A
Measure Specification
The numerator is comprised of ED visits meeting the denominator criteria and where the patient experiences any of the following quality gaps in access:
- The patient waited longer than 60 minutes (1 hour) after arrival to the ED to be placed in a treatment room or dedicated treatment area that allows for audiovisual privacy during history-taking and physical examination, or
- The patient left the ED without being evaluated, or
- The patient boarded (time from Decision to Admit order to ED departure for admitted patients) in the ED for longer than 240 minutes (4 hours), or
- The patient had an ED length of stay (LOS) (time from ED arrival to ED departure as defined by the ED departure timestamp indicating when the patient physically left the ED) of longer than 480 minutes (8 hours).
ED encounters with ED observation stays are excluded from numerator criteria #3 (boarding) and #4 (ED LOS). To clarify, patients who have a ‘decision to admit’ after an ED observation stay remain excluded from numerator criteria #3 (boarded) calculations.
Patients who are placed in ED observation status will be included in the measure’s denominator; however, they will be removed from the numerator for the boarding and ED length of stay components.
Not applicable
All ED visits associated with patients of all ages, for all-payers, during the performance period. Patients can have multiple visits during a performance period; each visit is eligible to contribute to the numerator and denominator.
Not applicable
Not applicable
Meaningfulness
Importance
There are long-standing concerns about parameters that impact the quality and timeliness of care in the ED. This measure addresses the variation of emergency care and assesses the capacity and quality of emergency care to reduce patient harm and improve outcomes for patients requiring emergency care in an ED. The developer supports the importance of this measure with a mix of systematic reviews, benchmarking data, EHR analysis, registry-based studies, and clinical guidelines.
An extensive literature review on the four components of the measure provided by the measure developer supports the evidence base for this measure and provides additional considerations for the measure’s use among special population such as older patients and those seen in the ED for mental health concerns.
- Component 1: The patient waited for longer than 1 hour to be placed in a treatment space.
The developer highlights the increasing trend in wait times from arrival to being placed in a treatment space, with data showing a significant percentage of patients experiencing wait times over 1 hour. This delay is associated with patient harm, including increased risks of adverse events and re-visits.
- Component 2: The patient left the ED without being evaluated by a licensed clinical professional.
The developer notes an upward trend in the percentage of patients leaving the ED without complete evaluation or treatment, which poses significant risks, as many of these patients require subsequent urgent care.
- Component 3: The patient boarded (time from decision to admit order to patient departure from the ED for admitted patients) in the ED for longer than 4 hours.
The developer notes a lack of improvement in boarding times despite previous measures, with recent data showing an increase in median boarding times, significantly exceeding the 4-hour threshold in many cases.
- Component 4: The patient had an ED LOS (time from ED arrival to ED departure) of longer than 8 hours.
The developer notes a steady increase in the median ED LOS, with a significant proportion of visits exceeding 8 hours. Various studies suggest that longer ED LOS is associated with increased mortality and other adverse outcomes.
Based on the submission materials, this measure aligns with The Joint Commission’s accreditation requirements (EP 6 within Standard LD.04.03.11): “The hospital should set its goals with attention to patient acuity and best practice; it is recommended that boarding time frames not exceed 4 hours in the interest of patient safety and quality of care.” The developer provided evidence of a performance gap for each component of the ECAT measure among EDs, as well as associated harms.
During CBE endorsement review in 2024, the committee found the evidence supporting the importance of this measure to be sufficient.
Conformance
This measure aims to reduce patient harm and improve outcomes for patients requiring emergency care in an ED by addressing the variation of emergency care and measuring the access and timeliness of emergency care. The measure’s numerator, denominator, and exclusions are clearly defined and directly support the intent of this measure. Specifically, the numerator includes ED visits meeting the denominator criteria and where the patient experiences of any of the four indicated quality gaps in access among the denominator population of all ED visits associated with patients of all ages, for all-payers, during the performance period. This measure aligns with the Hospital Inpatient Quality Reporting (IQR) Program objective to improve the quality of care that hospitals provide and to distribute clearly defined and objective data about hospital performance as well as the Medicare Promoting Interoperability Program’s goal commitment of promoting and prioritizing interoperability and exchange of health care data. The measure also aligns with the Hospital Value-Based Purchasing Program’s aim to improve the quality of care patients receive during hospital stays and enhance the overall patient experience.
Feasibility
Yes, eCQM testing conducted [MERIT Submission Form, eCQM Feasibility Scorecard]
As this measure is an electronic clinical quality measure (eCQM), the measure developers conducted feasibility testing and submitted a feasibility scorecard. Results on this scorecard address the following domains:
- Data availability: Is the data readily available in a structured format (i.e., resides in fixed fields in EHR)?
- Data accuracy: What is the accuracy of the data element in EHRs under normal operating conditions? Are the data source and recorder specified?
- Data standards: Is the data element coded using a nationally accepted terminology standard?
- Workflow: Is the data captured during the course of care? And how does it impact workflow for the user?
The feasibility assessment examined EPIC and Cerner EHR systems. Findings indicate that while most data elements pose minimal challenges to data standardization and workflow integration, concerns remain regarding data availability and accuracy—specifically, two data elements (ethnicity and race) required cross-system review, and one required further validation in a single system. The developer’s data feasibility plan outlines steps facilities can take to address these issues by keeping the two data elements identified as supplemental. The committee should evaluate whether the plan presented in the eCQM scorecard offers a practical path forward for implementing the measure within the program.
During CBE endorsement review in 2024, the committee found the feasibility of this measure to be sufficiently demonstrated.
Validity
Face Validity, Empiric Validity [MERIT Submission 2024]
Facility
N/A
Note for the committee: The following testing information is from the 2024 MUC List submission of this measure under the former name “Emergency Care Capacity and Quality” (ECCQ) and is applicable to the consideration of this revised-title version for new programs. The developer notes that the emergency departments used in testing are all hospital-based EDs so testing results would be applicable to the suggested programs.
Face validity: The developer assessed face validity to determine whether the measure effectively differentiates between good and poor quality of care among facilities. This assessment involved soliciting experts’ and patients/caregivers’ agreement with the following statement: “The Emergency Care Access and Timeliness eCQM for the Hospital OQR Program could differentiate good from poor quality of care among facilities.” Out of a total of 16 technical experts, 12 agreed that the measure could effectively differentiate between good and poor quality of care. The remaining four disagreed, citing concerns that factors influencing boarding times and ED LOS might be beyond the control of outpatient facilities, thus questioning the measure’s ability to reflect quality of care accurately in that setting (although importantly for the current submission, use for inpatient quality reporting was not being considered by the TEP).
Empiric validity testing: The developer used construct validity, which is the extent to which the measure accurately assesses what it is intended to assess. This analysis involved 32 hospital-based ED facilities from two datasets. Using the Pearson’s correlation coefficient, the developer examined the association between measure score performance and broadly available and validated hospital quality measures (refer to similar and related measures in Appropriateness of Scale section). Correlations of the measure with Overall Hospital Quality Star Rating were -0.56 (dataset A) and -0.55 (dataset B), indicating a moderate correlation. The results supported this hypothesis, indicating that hospitals with higher Star Ratings also tended to score well on the eCQM between the measure scores and the Star Ratings components.
The developer considered threats to validity and developed the recommendation to stratify this measure by age and principal diagnosis of a mental health condition. Mental health diagnoses are identified using an established code set of International Classification of Diseases (ICD)-10 and Systematized Nomenclature of Medicine (SNOMED) codes that identify “psychiatric and mental health diagnoses” but do not include diagnosis for substance abuse disorder. The measure’s outcome may also be stratified (pending additional testing) by race and ethnicity, primary language, and insurance status to best address emergency care quality and efficacy as well as hospital-wide processes to ensure timely care and access for all patients.
Reliability
Signal-to-noise [MERIT 2024 submission]
Facility
Note: The following testing information is from the 2024 MUC List submission of this measure under the former name “Emergency Care Capacity and Quality” (ECCQ) and is applicable to the consideration of this revised-title version for new programs. The developer notes that the emergency departments used in testing are all hospital-based ED’s so testing results would be applicable to the suggested programs.
The developer calculated the reliability results from a combined dataset with dataset A consisting of 20 hospital-based ED facilities and dataset B consisting of 12, for a total of 32 hospital-based ED facilities from 2023 (January 1-December 31). The median reliability is 0.9999, and the minimum reliability is 0.9997. Of the entities in the testing set, 100% have a reliability >0.6, suggesting that this measure is capable of differentiating entities by quality of performance.
For Table 1, Battelle used the performance and reliability data provided and approximated decile averages by interpolation.
Table 1 shows deciles by reliability based on the data provided in the testing submission for the 32 hospital-based ED facilities. Battelle created this table to provide reviewers with a standardized format to assess reliability. Of the entities in the testing set, 100% have a reliability >0.6, suggesting that this measure is capable of differentiating entities by quality of performance.
Table 1. MUC2025-072 Mean Reliability (by Reliability Decile)
| Mean | SD | Decile 1 | Decile 2 | Decile 3 | Decile 4 | Decile 5 | Decile 6 | Decile 7 | Decile 8 | Decile 9 | Decile 10 | IQR |
| 0.9999 | 0.0001 | 0.9997 | 0.9998 | 0.9999 | 0.9999 | 0.9999 | 0.9999 | 1.000 | 1.000 | 1.000 | 1.000 | 0.0001 |
Usability
No, the submission materials did not discuss measure usability in the selected program and settings.
The developer has identified potential unintended consequences, such as premature ED discharge, gaming, reduced inpatient admissions, increased staff burnout, and worsened disparities. The submission materials do not discuss program-specific considerations for measure use within the Hospital IQR, Hospital VBP, and Promoting Interoperability (PI) programs.
During collaboration with the measure developer on this PA, the developer noted that their team considered the following in terms of usability of this measure within the identified programs: ED efficiency and patient throughput is closely tied to inpatient capacity, care coordination, and hospital-wide operational processes. Quality gaps in ED access and timeliness often reflect inpatient boarding delays, bed management inefficiencies, or discharge bottlenecks—all of which fall under the hospital’s control and reflect system-level inpatient operations. Including this measure in the inpatient quality programs promotes accountability for hospital-wide performance rather than viewing ED processes in isolation.
During CBE endorsement review in 2024, the committee found the use/usability of this measure to be sufficiently demonstrated.
Considerations for the committee:
- Based on professional and patient experiences, can the potential unintended consequences identified by the developer be mitigated?
- Based on professional and patient experiences, are there specific barriers or facilitators to use of this measure within the Hospital IQR, Hospital VBP or PI programs?
- How might any barriers identified be mitigated?
Appropriateness of Scale
Overview
None specified
No directly competing measures are currently active in either the Hospital IQR or Promoting Interoperability programs.
Facilities with robust staffing, efficient workflows, and access to mental health and inpatient services may experience greater immediate measure implementation benefits, such as improved patient outcomes, reduced adverse events, and enhanced operational efficiency. In contrast, facilities with limited capacity, high patient volumes, or fewer community resources may face greater implementation challenges, including workflow disruptions and increased administrative burden. These differences highlight the need for tailored support and flexibility in applying the measure across emergency and outpatient care settings.
Considerations for the committee: Differences in facility capacity and community resources suggest a need for flexibility in how the measure is implemented. The committee should consider whether the measure submission includes sufficient guidance or infrastructure to support varied settings.
Time to Value Realization
Overview
Yes, the developer provided an extensive review of near- and long-term impacts of the measure based on available literature [Supplemental Attachment].
The measure is expected to have both near- and long-term impacts on ED care quality and patient outcomes. In the near term, implementation of the measure may drive operational improvements such as reduced wait times, fewer patients leaving without being seen, shorter boarding durations, and decreased overall ED LOS. These changes are anticipated to improve patient flow, enhance access to timely care, and reduce adverse events. Over the longer term, the measure is expected to contribute to improved clinical outcomes—including reduced mortality, morbidity, and complications—as well as better patient experiences and potential cost savings through more efficient care delivery and reduced readmissions. The measure may also encourage broader system-level investments in mental health services, inpatient capacity, and care coordination, particularly for vulnerable populations.
Public Comments
MUC2025-072
This information should be retrievable directly from the electronic medical record; however, significant resources would be required to build, validate, and maintain the abstraction and reporting workflows necessary for reliable measure submission. For Critical Access Hospitals (CAHs) and Rural Emergency Hospitals (REHs), this would likely necessitate additional staffing, increased reliance on health information technology vendors or third-party abstractors, and associated costs that may be disproportionate to hospital size and available resources. The Kansas Hospital Association suggests this measure be assessed for costs and resources that would be added to hospitals to fulfill the measure.
Emergency Care Access
This measure shows a different spin on the typical timeliness measures for emergency room care. Agree these are still very relevant with overcrowding and poor throughput within the ED. Providers are forced to find creative and innovative ways to improve the quality and movement patient experience.
Emergency Care Access & Timeliness (ECAT)
The American Medical Association (AMA) appreciates the potential consideration of a measure that addresses a very important issue and believes that it will facilitate hospital efforts to improve the care received by patients within the emergency department (ED) setting. However, clarification on why this measure should be considered for the Hospital Inpatient Quality Reporting Program when it is already included in the Hospital Outpatient Quality Reporting Program would be helpful. In addition, we request that additional changes be made to the measure in the near future.
We agree with standardizing ED volumes for outcomes 1, 2, and 4; however, we do not believe that outcome 3 should be standardized since hospitals, regardless of the volume, should have an equal opportunity and responsibility to ensure that patients are not kept in the ED longer than necessary.
We also continue to encourage CMS to revise this measure to a composite where outcome 3 would be weighted more heavily than the other three outcomes (40% to 20%). This change would enable hospitals and others to evaluate performance across each of the outcomes, while also signaling that boarding times should always be no longer than 4 hours at a minimum.
ECAT
The AHA agrees that tracking information related to wait times and length of stay in the ED is important for hospital and health system planning purposes. We also agree that ED boarding is a significant issue that effects patients’ experience of care and that can make it more challenging to deliver the best outcomes for patients. At the same time, ED wait times, throughput and boarding are also broader systemic issues whose drivers are often well beyond the control of hospitals and health systems. By considering this measure for adoption into the IQR, PIP and HVBP programs, we are concerned that CMS would be asking hospitals to shoulder the accountability for addressing this issue alone but with often limited ability to make improvement on measure performance. Furthermore, we are concerned by several other technical and conceptual shortcomings of this measure and believe further work is necessary for the measure to be ready for use in any national measurement program. For these reasons, the AHA does not recommend the adoption of this measure.
Conceptually, the measure’s specifications do not sufficiently capture the complexity of ED operations and those of the hospital care continuum. The measure relies upon time windows without a clear base in evidence to determine appropriate access, assumes that ED throughput is solely a factor of ED and hospital operations, and inadequately accounts for differences in patient case mix and volumes. The field currently lacks evidence-based guidelines on how to improve performance on the measure. However, we believe that a more proactive approach to addressing these issues would involve CMS working with the AHA, its members, policymakers and other stakeholders to investigate and implement effective solutions rather than using a generalized accountability measure.
The measure concept focuses on ED operations; the idea of “throughput” relies on the conclusion that other parts of the hospital can accommodate any ED volume at any time and thus inadequate ED operations are the lone driver of delays. The reasons for variations in wait times in the ED are many, and several if not most of these drivers are outside of the control of the ED and the hospital as a whole. Admission times rely partly on availability of staffed inpatient beds; patient turnover decisions elsewhere in the hospital, such as in the ICU, are made based on patient clinical needs. While initial triage in the ED is based on medical priority, delays in admission can occur after the initial evaluation as providers wait for insurance authorization.
As has been well documented by providers as well as by Department of Health and Human Services Office of Inspector General and congressional investigations, the prior authorization process used by Medicare Advantage and large commercial health plans places significant administrative burden on hospitals and other providers. Perhaps more importantly, it is directly harmful to Medicare beneficiaries— at best delaying their care and at worst outright denying medically necessary treatment. Despite important steps taken by CMS in recent years to strengthen the oversight of Medicare Advantage plans’ use of prior authorizations, providers have seen little meaningful change in MA plan behavior and no increased access for beneficiaries. Additionally, post-acute care providers still face challenges with MA plans listing them within their networks. These issues would be exacerbated in pay-for-performance programs where providers who serve a high proportion of MA patients would face disadvantages.
For these reasons, we are concerned that those hospitals that care for larger proportions of Medicare Advantage patients could perform worse on this measure because of decisions by Medicare Advantage plan to delay needed care and narrow their networks, and not because of the quality of care hospitals deliver. This situation could be especially problematic given that the remains variation in Medicare Advantage participation nationally. While it is true that in 2024 Medicare Advantage covered approximately 50% of Medicare beneficiaries, 21 states and the District of Columbia had Medicare Advantage rates under 50%, and 14 states had enrollment rates under 40%. For public reporting programs like the OQR to work in a fair manner, hospitals must be assured that measure performance is truly their own, and not disproportionately influenced by factors beyond their control.
The proposed measure also does not account for other factors that are not solely within hospitals’ control but could greatly impact ED throughput and boarding, and therefore, measure performance. Certain diagnoses may require specialist consultations, which can be difficult to garner in health professional shortage areas. A severe shortage of primary care in many communities means that conditions that could have been caught before they became emergent become serious and lead to larger volumes of emergency department visits. In addition, for medical issues that require prompt but not emergent attention, long wait times for primary care mean that patients have few choices other than an emergency department to receive care. In addition, our nation continues to face critical shortages of behavioral health care professionals, inpatient psychiatric beds and other supportive care for those who need behavioral health services. These structural shortages all influence the ability of hospital EDs to move patients to the next level of care and, therefore, how long a patient may spend in the ED. By assessing ED operations in a vacuum, the measure would not provide insight into predominant drivers of long ED waits that are influenced by hospitals. Instead, could simply be measuring the variation
We are also concerned that the measure assesses performance based on timing that is not well supported by evidence as having an impact on patient outcomes. The measure calculates the proportion of all ED encounters during a 12-month period where the patient experiences a wait or stay in the ED longer than a specified length of time (e.g., one hour after arrival to be placed in a treatment room for evaluation). However, it is unclear whether there exists evidence that these particular time windows—one hour, four hours, etc.—have any marginal influence on patient outcomes. Studies cited in the measure’s documentation demonstrate that longer wait times are sometimes associated with poorer outcomes, but the various studies use definitions of ED length of stay ranging from two to 24 hours. We are unsure that it would be accurate to determine that a hospital that averaged 61 minutes to place a patient in a room for evaluation is “worse” than a hospital that averaged 60 minutes to do the same thing.
Another concern relates to the potential unintended consequences that use of this measure may impose, such as premature discharge from the ED, inappropriate reductions in inpatient admissions, increases in staff burnout, worsening disparities of care, and increased costs due to increases in observation volume.
We appreciate that the measure has been updated since its earlier assessment in the Pre-Rulemaking Measure Review process to stratify rates by age and mental health diagnosis. However, we are concerned that the latter stratification approach does not include patients with primary diagnoses of substance use disorder (SUD). Clinical and federal guidelines generally include SUD alongside mental illness in the category of behavioral health due to their frequently overlapping patient presentation. In other words, separating ED throughput rates acknowledges the unique considerations for treating patients with diagnoses of mental illness; patients with SUD diagnoses require those same considerations.
Finally, the field has yet to coalesce around best practices to improve performance on this measure. Several of the examples of changes in care for improvement provided in the measure’s supporting documentation are related to transformations of the care environment outside of the ED, such as use of “hospital home” care models. Others are suggestions that would require significant investments, clinical research, and policy change, such as “changes to diagnostic testing/imaging processes” or “Triage interventions, including predictive models, use of clinicians, and others.” Quality measures serve the dual purposes of informing patient decision-making and informing quality improvement efforts; due to the lack of targeted interventions demonstrated to influence measure performance, this measure is unlikely to fulfill those purposes.
Comments on MUC2025-072
CMS is considering expanding use of MUC2025-072: Emergency Care Access & Timeliness (ECAT) measure to include the Hospital IQR Program, Medicare Promoting Interoperability Program and Hospital Value-Based Purchasing (VBP) Program. Currently, this measure will be used in the Hospital Outpatient Quality Reporting Program on a voluntary basis for calendar year 2027. Given the limited experience hospitals have had with this measure, Vizient discourages CMS from broadening application of the measure at this time.
In addition, key experts have raised concerns with the measure, which also aligns with Vizient’s concerns. For example, the Measure Emergency Care Capacity and Quality Electronic Clinical Quality Measure (eCQM) TEP raised persistent implementation concerns around accurately capturing time to place a patient in a private treatment space, which Vizient agrees creates practical challenges and could make the measure less actionable.1
Related to actionability, Vizient anticipates that the outcomes from the measure will not be sufficiently clinically useful. For example, the measure only captures wait times and does not account for patient acuity, severity or other clinical factors that meaningfully influence emergency department operations and patient outcomes.
In addition, without careful attention to stratification for acuity or severity, the measure risks drawing misleading comparisons between hospitals that treat fundamentally different patient populations. High‑acuity emergency departments may appear to perform worse simply because they care for sicker, more complex patients who require longer evaluation and stabilization times. These issues can also limit quality improvement opportunities, benchmarking and meaningful identification of variation in emergency care delivery.
Vizient is also concerned that the ECAT measure could create confusion, as key concepts such as “dedicated treatment area” and “boarding” could be interpreted differently. Clear and consistent definitions are essential to ensure hospitals interpret and report these elements uniformly. Without precise definitions, hospitals may classify treatment areas or boarding status differently, undermining the validity of the measure and limiting its usefulness for quality improvement. Standardization is also necessary to ensure that data collected across diverse emergency departments can be reliably used to assess capacity constraints and identify opportunities to improve patient flow and emergency care delivery. Given these concerns, Vizient recommends that P4QM and CMS work closely with stakeholders to better understand stakeholder experiences for those voluntarily reporting this measure under the Outpatient Quality Reporting Program. Such information will be critical to consider should this measure evolve or be included in other CMS programs.
Comments on MUC2025-072
We recommend risk adjustment for factors beyond hospital control (regional bed availability, EMS surges) and phased implementation with confidential reporting before public display. Benchmarking by peer cohort is essential to ensure fairness.
Support for Emergency Care Access & Timeliness (ECAT) MUC2025-07
On behalf of our nearly 40,000 members, the American College of Emergency Physicians (ACEP) appreciates the opportunity to comment on CMS’s Emergency Care Access & Timeliness (ECAT) proposed measure. ACEP strongly supports CMS’ proposals to incorporate the Emergency Care Access and Timeliness eCQM into more CMS reporting programs going forward. The goal of the measure is to help monitor the issue of patients “boarding” in the ED—a scenario where patients often wait for hours, days, or even weeks in the ED while waiting for an inpatient bed after admission to the hospital or transfer to another facility. The inclusion of this measure in the Hospital Outpatient Quality Reporting was a positive step and ACEP supports its inclusion in more hospital reporting programs. We suggest CMS follow the same rollout process used in 2026 Hospital OQR inclusion of ECAT, where the measure is voluntary in the first year to give participants time to implement the necessary processes and systems for a successful incorporation.
While supportive of this…
While supportive of this measure, Premier recommends voluntary reporting for this measure for a few years to give hospitals time to build out and test this eCQM measure properly. Premier also supports the stratification for psychiatric/mental health disorders as a principal diagnosis. However, Premier is concerned that improvement on this measure will be minimal without giving hospitals additional resources to address ED throughput. Premier also encourages CMS to test the measure in the Hospital Inpatient Quality Reporting Program prior to implementing it in the Hospital Value Based Purchasing Program.
ECAT measure
Support with modification: Supportive of this measures priorities, however recommend clear attribution rules and denomintator standards to ensure stability in MA performance.
This measure poses challenges in accurate and equitable measurement (number of ED beds, access to transportation, etc.).
ECAT eCQM
We support the adoption of this emergency department (ED) eCQM as a means to reduce reliance on chart-abstracted measures and associated reporting burden. However, there are significant technical and operational considerations that must be addressed, including how the measure will be implemented within the current capabilities and variability of EHR vendor systems.
We request clarification regarding how CMS intends to delineate Emergency Care Assessment and Treatment (ECAT) eCQM data across the Hospital Inpatient Quality Reporting (IQR) and Outpatient Quality Reporting (OQR) Programs in order to avoid double counting and inconsistent attribution.
Specifically, clarification is requested on whether performance will be delineated by patient class for each program (e.g., inpatient versus outpatient/ED). If patient class is used to distinguish reporting across programs, additional guidance is needed regarding how encounters without a clearly defined patient class, such as events where a patient leaves the emergency department without being evaluated, will be attributed across OQR and IQR.
Further, we request clarification on how CMS intends to operationalize the four ECAT components across reporting and payment programs, including whether each component will be scored individually for purposes of the Hospital Value-Based Purchasing (HVBP) Program, or whether a composite scoring approach is anticipated.
If this measure moves forward, which we anticipate, we recommend that the initial years of HVBP implementation be limited to reporting only, allowing sufficient time for technical specifications, attribution logic, and EHR mappings to be finalized, tested, and consistently implemented across hospitals and vendor platforms.
ED LOS
Your measures will promote premature admission of patients who do not require hospital care. There are many conditions, such as dehydration, chest pain, and weakness that can be resolved with ED care. That care though often takes several hours for serial diagnostic testing and/or treatment, such as IV fluids, lab testing and diagnostic testing that may take more than a few hours. By setting these arbitrary measures, you will be forcing doctors to admit patients to the hospital, as inpatient or with observation services, in order to "stop the ED clock" when another hour or two of ED care could avoid that. And once admitted, instead of a few more hours, that patient will be staying for a day or two, with evaluation by the hospitalist and consultants, creating more costs, and more hospital crowding, and resulting in beds being occupied by patients who do not need it, limiting accss to those beds for patients who truly need them.
Don't do it. Just don't.