Introduction
The sudden 30% increase in emergency department wait times at University Health Network's Toronto General Hospital last week is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for patient care and hospital operations.
I'll approach this problem by first clarifying key details, ruling out external factors, understanding the patient journey, breaking down the wait time metric, gathering relevant data, forming hypotheses, conducting root cause analysis, and finally proposing validation methods and solutions.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development to address the emergency department wait time increase.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Seasonal factors could explain sudden changes in ED volume. Expected answer: No significant weather events or public health crises reported. Impact on approach: If confirmed, we'd focus more on internal factors.
Why it matters: Internal changes could directly impact wait times. Expected answer: Some staff turnover, but no major policy changes. Impact on approach: We'd investigate the impact of staffing changes on patient flow.
Why it matters: Changes in case mix could affect triage and treatment times. Expected answer: Slight increase in complex cases, but within normal variation. Impact on approach: We'd analyze triage data to understand impact on wait times.
Why it matters: Technical issues could artificially inflate wait times. Expected answer: No major system changes or reported issues. Impact on approach: We'd still verify system logs to rule out technical factors.
Practice similar questions
Subscribe to access the full answer