Ravi's Tuesday, Two Ways

Ravi, a paramedic on a busy city ambulance.

Ravi starts at 7 a.m. on a city ambulance. First call is a 68-year-old woman with COPD and shortness of breath. He gives oxygen and albuterol, and she improves by the time they reach the emergency department. After transfer, Ravi opens ChatGPT and uses the Patient Care Documentation prompt. He types his rough notes: 7:12 dispatched, 7:19 on scene, wheezing, two liters oxygen, albuterol nebulizer, improved. ChatGPT returns a clean chronological report. Ravi edits two lines and signs.

Next call is a 45-year-old man with chest pressure. The 12-lead shows changes, and Ravi gives aspirin and nitro. On the way, he opens Claude and uses the Handoff And Radio Reports prompt. He asks for a tight SBAR radio report and ED handoff. He enters vitals, allergies, medications, and the 12-lead finding. Claude gives him a short script. Ravi reads it once, changes the wording to match how his service talks, and calls the hospital.

Later, a pediatric patient needs acetaminophen. Ravi opens Gemini and uses the Medication And Dose Checks prompt. He types: 18 kg child, 15 mg/kg, oral suspension 160 mg/5 mL, show the work. Gemini walks through the steps. Ravi checks the math with his partner and draws the dose.

The last call is a cardiac arrest that does not survive. After cleanup, Ravi uses the Debrief And Resilience prompt in ChatGPT. He asks for a ten-minute crew debrief with open questions and a moment of silence. They talk, not just about the algorithm, but about the family in the hallway. Ravi clocks out on time, calls his daughter before bed, and sleeps without the report hanging over him.