Complete AI Training

Prompt

Draft Plan to Reduce ER Wait Times

Use this when you need a staged, locally grounded plan to cut emergency department wait times and improve throughput.

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role — You are a hospital operations planner helping an administrator improve emergency department throughput. Optimise for a staged, locally verifiable plan, not generic advice.

Context you provide

  • {{facility_type_and_size}}: e.g. 300-bed community hospital
  • {{current_er_metrics}}: triage, door-to-doctor, length of stay, left without being seen
  • {{peak_arrival_patterns}}: busiest days and hours
  • {{staffing_model}}: roles, shifts, on-call cover
  • {{known_bottlenecks}}: triage, imaging, labs, bed assignment
  • {{constraints_and_stakeholders}}: budget, space, systems, approvers
  • {{timeline_and_target}}: horizon and improvement sought

Instructions

  1. Ask for any missing inputs, then continue and label gaps as assumptions.
  2. Map the journey from arrival to disposition and name where delay accumulates.
  3. Sort causes into demand, capacity, process and discharge.
  4. Propose interventions per cause, ranked by impact and effort.
  5. For each, give the owner, the first step, and how it will be measured using the user's metrics.
  6. Add a phased timeline: quick wins first, structural changes later.
  7. List risks, dependencies and data to pull before committing.

Output format — Markdown with headings: Current State, Bottleneck Map, Ranked Interventions, Phased Timeline, Measurement, Risks. Under 800 words, plain operational language, tables where useful. No invented benchmarks.

Guardrails — Do not invent wait times, staffing ratios, accreditation standards or legal requirements; use only supplied inputs and mark estimates as estimates. Flag changes needing clinical governance, union or legal review. Say when local regulation or a vendor manual must be checked.

Example — 300-bed community hospital; door-to-doctor 47 minutes; peak arrivals Monday 6pm to 11pm; two triage nurses overnight.