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EM TopicsQuality and ED metrics

EM · Quality and ED metrics

Quality and ED metrics — performance measurement, the four-hour target and quality improvement

Also known as National Emergency Access Target · NEAT · Four-hour rule · Access block · Emergency department overcrowding · Left without being seen · Plan-Do-Study-Act cycle · Statistical process control · Run chart · Benchmarking · Donabedian framework · Door-to-doctor time · Quality improvement in the ED

Quality and emergency department metrics — the Donabedian structure-process-outcome framework; the National Emergency Access Target (NEAT), the four-hour rule requiring 90 per cent of ED presentations discharged or admitted within four hours; the core ED metrics of time-to-treatment (door-to-doctor, door-to-ECG, door-to-antibiotic, door-to-needle), admission rate, LWBS (left without being seen) rate and mortality; access block (length of stay greater than eight hours for an admitted patient) and overcrowding as the dominant drivers of metric failure and excess mortality (Sprivulis, Guttmann, Howlett, Nicolaidis); the differential of drivers of access block (input, throughput and output factors); quality improvement methodology — Plan-Do-Study-Act, run charts with the probability-based rules for special-cause variation, statistical process control (SPC) Shewhart charts distinguishing common-cause from special-cause variation, and benchmarking against peer departments; and the unintended consequences of the target — gaming, premature discharge and short-stay-unit inflation. ACEM-primary, globally tagged.

medium16 referencesUpdated 26 July 202624 min readVerification in progress

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ACEMFRCEMABEMFRCPCCCFPEMEBEEM

Red flags

  • Access block — a total ED length of stay greater than 8 hours for an admitted patient — is independently associated with excess mortality, and it is the dominant output-side driver of every failed ED metric
  • Reacting to common-cause variation as if it were special-cause — tampering — increases rather than reduces process variation; the SPC chart is the defence
  • A 4-hour target met by gaming — premature discharge before assessment is complete, decision-to-admit delayed until after the four-hour mark, short-stay-unit admission inflation — meets the metric and harms the patient
  • The LWBS patient who left because of a long wait may represent a missed time-critical diagnosis — left-without-being-seen is a safety marker, not merely a throughput complaint
  • A run chart with a shift of six consecutive points on one side of the median signals special-cause variation and demands investigation, not a single-point reaction
  • Overcrowding measured by occupancy or boarding count predicts mortality, ambulance diversion and LWBS — the physical crowding of the department is a patient-safety emergency, not an administrative inconvenience
On this page

Related topics

  • The Australasian Triage Scale — categories, validity, reliability and the under-triaged patient
  • ED flow and access block — the input-throughput-output model, queuing theory, and the operational intervention ladder
  • Patient disposition and safety-netting in the emergency department
  • Medical error and patient safety in the emergency department
  • Team-based care and crisis resource management in the emergency department
  • Research, evidence-based medicine and biostatistics — appraising and applying evidence at the bedside
Study tools

Your progress

Saved on this device.

Practise this topic8 MCQs with explanations

Target exams

ACEMFRCEMABEMFRCPCCCFPEMEBEEM

Red flags

  • Access block — a total ED length of stay greater than 8 hours for an admitted patient — is independently associated with excess mortality, and it is the dominant output-side driver of every failed ED metric
  • Reacting to common-cause variation as if it were special-cause — tampering — increases rather than reduces process variation; the SPC chart is the defence
  • A 4-hour target met by gaming — premature discharge before assessment is complete, decision-to-admit delayed until after the four-hour mark, short-stay-unit admission inflation — meets the metric and harms the patient
  • The LWBS patient who left because of a long wait may represent a missed time-critical diagnosis — left-without-being-seen is a safety marker, not merely a throughput complaint
  • A run chart with a shift of six consecutive points on one side of the median signals special-cause variation and demands investigation, not a single-point reaction
  • Overcrowding measured by occupancy or boarding count predicts mortality, ambulance diversion and LWBS — the physical crowding of the department is a patient-safety emergency, not an administrative inconvenience
The one-line answer

Emergency department quality is measured through Donabedian's structure-process-outcome lens and improved through Plan-Do-Study-Act cycles read on statistical process control charts. The headline metric — NEAT, 90 per cent of presentations discharged or admitted within four hours — is a whole-of-hospital number the emergency department cannot deliver alone, because its binding constraint is access block (length of stay over 8 hours for an admitted patient), and access block kills patients. React to special-cause variation, redesign for common-cause, never tamper — and never meet the four-hour target by gaming, because a target met by gaming harms the patient as surely as one missed.[1][2][13]

Meet the patient — Tuesday morning on the floor

It is 09:40 on a Tuesday. There are 16 admitted patients boarding in your department, the ambulance bay holds three trolleys waiting to offload, and the consultant running the floor has not sat down since 07:00. Last quarter's National Emergency Access Target compliance was 64 per cent, down from 81 per cent a year ago. A 30-day mortality audit just flagged excess deaths among patients whose total emergency department length of stay exceeded eight hours. The hospital executive has emailed: "Why can't the emergency department deliver the target?"[2][11]

This is the scenario the Fellowship question is built from, and it plants the one exam question this whole topic answers: access block is a hospital problem that lives in the emergency department — so why do the measurement and the blame land on the emergency department floor? Hold that question and every framework below slots into place.[1]

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References16ShowHide
  1. [1]Guttmann A, Schull MJ, Vermeulen MJ, Stukel TA. Association between waiting times and short term mortality and hospital admission after departure from emergency department: population based cohort study from Ontario, Canada BMJ, 2011.PMID 21632665
  2. [2]Sprivulis PC, Da Silva JA, Jacobs IG, Frazer AR, Jelinek GA. The association between hospital overcrowding and mortality among patients admitted via Western Australian emergency departments Med J Aust, 2006.PMID 16515429
  3. [3]Forero R, McCarthy S, Hillman K. Impact of the four-hour National Emergency Access Target on 30 day mortality, access block and chronic emergency department overcrowding in Australian emergency departments Emerg Med Australas, 2019.PMID 30062847
  4. [4]Forero R, Man N, McCarthy S, et al. Impact of the National Emergency Access Target policy on emergency departments' performance: A time-trend analysis for New South Wales, Australian Capital Territory and Queensland Emerg Med Australas, 2019.PMID 30043403
  5. [5]Ngo H, Forero R, Mountain D, et al. Impact of the Four-Hour Rule in Western Australian hospitals: Trend analysis of a large record linkage study 2002-2013 PLoS One, 2018.PMID 29538401
  6. [6]Forero R, Man N, Nahidi S, et al. When a health policy cuts both ways: Impact of the National Emergency Access Target policy on staff and emergency department performance Emerg Med Australas, 2020.PMID 31595671
  7. [7]Khanna S, Boyle J, Good N, Lind J. Analysing the emergency department patient journey: Discovery of bottlenecks to emergency department patient flow Emerg Med Australas, 2017.PMID 27862986
  8. [8]Vermeulen MJ, Stukel TA, Boozary AS, et al. The Effect of Pay for Performance in the Emergency Department on Patient Waiting Times and Quality of Care in Ontario, Canada: A Difference-in-Differences Analysis Ann Emerg Med, 2016.PMID 26215670
  9. [9]Hitti E, Hadid D, Tamim H, et al. Left without being seen in a hybrid point of service collection model emergency department Am J Emerg Med, 2020.PMID 31128935
  10. [10]Scala A, Trunfio TA, Majolo M, et al. Predicting patient risk of leaving without being seen using machine learning: a retrospective study in a single overcrowded emergency department BMC Emerg Med, 2025.PMID 40660109
  11. [11]Howlett N, Cameron J, Wood R Medical patient boarding in the emergency department as a source of crowding and delay-related harm, impacting patient outcomes and the efficiency of urgent and emergency care Emerg Med J, 2026.PMID 41672875
  12. [12]Nicolaidis R, Bordini Ferro E, Martinho MAD, et al. Emergency department boarding and occupancy differ in their association with early in-hospital mortality: A multicenter cohort Am J Emerg Med, 2026.PMID 42167132
  13. [13]Taylor MJ, McNicholas C, Nicolay C, Darzi A, Bell D, Reed JE. Systematic review of the application of the plan-do-study-act method to improve quality in healthcare BMJ Qual Saf, 2014.PMID 24025320
  14. [14]Waqas M, Xu SH, Hussain S, et al. Control charts in healthcare quality monitoring: a systematic review and bibliometric analysis Int J Qual Health Care, 2024.PMID 39018022
  15. [15]Anhøj J Diagnostic value of run chart analysis: using likelihood ratios to compare run chart rules on simulated data series PLoS One, 2015.PMID 25799549
  16. [16]Donabedian A Evaluating the quality of medical care Milbank Mem Fund Q, 1966.PMID 5338568

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Related topics

  • The Australasian Triage Scale — categories, validity, reliability and the under-triaged patient
  • ED flow and access block — the input-throughput-output model, queuing theory, and the operational intervention ladder
  • Patient disposition and safety-netting in the emergency department
  • Medical error and patient safety in the emergency department
  • Team-based care and crisis resource management in the emergency department
  • Research, evidence-based medicine and biostatistics — appraising and applying evidence at the bedside