Operations Management and Quality Improvement
Domain 4 - Operations Management and Quality Improvement. This domain tests whether you can improve flow, reduce variation, and prove that a change worked. Questions often ask which tool fits a situation or what a control chart is telling you.
Improvement methods
- The Model for Improvement asks three questions (aim, measures, changes) and tests changes with PDSA cycles.
- Lean attacks waste (waiting, overprocessing, defects); Six Sigma/DMAIC reduces variation. Use RCA after a sentinel event and FMEA prospectively for high-risk processes.
- Distinguish common-cause from special-cause variation. Control charts separate the two; tampering with a stable process makes it worse.
- Standard quality measures include readmissions, HCAHPS, hospital-acquired conditions, and ED door-to-provider time.
Flow and capacity
- Throughput, cycle time, and work-in-process relate through Little's Law: WIP = throughput times cycle time.
- Find the bottleneck (theory of constraints) and relieve it before optimizing elsewhere. Scheduling templates, discharge-before-noon, and transport redesign are common levers.
Worked example
An ED has a 5-hour length of stay against a 3-hour target. Map the value stream; the constraint is laboratory turnaround. Run a PDSA with a dedicated tube system and stat protocol, measure door-to-lab and lab-to-result times on a control chart, and hold other variables constant. Reasoning: fix the constraint, measure the process, and confirm special-cause improvement before scaling.
Traps
- Confusing RCA (retrospective) with FMEA (prospective).
- Reacting to random variation as if it were a trend.
- Changing several variables in one PDSA cycle.
- Managing by averages while ignoring variation and outliers.