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Decide to go back to the ER for worsening leg pain and breathlessness with ChatGPT

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My husband's leg pain started near the calf and moved to the knee, and now there's nausea and so much shortness of breath that two steps on crutches are impossible. The ER sent my husband home and urgent care said gout. Should we go back to the ER?

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Before you start, ask me 1–3 short questions about the details below and wait for my answers. Once I've answered, confirm the plan in one line and run the whole task start to finish.

Goal: Decide quickly whether someone's worsening symptoms need emergency care, even after earlier visits said it was minor.

Questions to ask me first:
- What are the symptoms now, and how have they changed since the last visit?
- What did each doctor or clinic diagnose and prescribe?
- Is the person having trouble breathing, chest pain or confusion right now?

Inputs (fill in or confirm):
- Symptoms and timeline: [SYMPTOMS / DATES]
- Earlier visits and diagnoses: [VISITS]
- Medicines taken: [MEDICINES]
- Any readings we have (heart rate, oxygen, temperature): [READINGS]

Rules:
- If any symptom could be life-threatening, say first and plainly to call emergency services or go to the ER now.
- Name the serious conditions the pattern could fit, in plain words, so I can raise them at triage.
- Don't tell me it's safe to wait at home.
- Give me a short summary I can read out to paramedics or the triage nurse.

Checkpoint: Give me the go-now-or-not answer and the triage summary first, before anything else.

If you get stuck: If you aren't sure, treat it as urgent and tell me to get the person seen now.

Verify before you finish: Check that the triage summary includes the timeline, earlier diagnoses and current symptoms.

Output: A clear urgency answer, a few serious conditions to mention and a short triage summary.

Done when: The person is being seen by emergency care or a clinician has told us what to do.

AI tool

ChatGPT

Outcome

Julian Millikan's leg pain had already been seen once in the ER and once at urgent care, where it was diagnosed as a gout flare, and the MRI that was ordered was declined by insurance. When Julian became nauseated and too short of breath to manage two steps on crutches, Julian's wife, Shauna O'Brien, typed the symptoms and earlier diagnoses into ChatGPT. It told O'Brien to 'go back to the ER immediately,' warning the pattern could mean deep vein thrombosis (DVT) or a joint infection. Paramedics found an elevated heart rate and low blood oxygen, Julian was fast-tracked at triage, and scans showed a large DVT and bilateral pulmonary emboli. Doctors said Julian likely would not have survived another night at home. During the four-day stay, ChatGPT also helped O'Brien understand treatment choices and prepare questions for discharge.

Evidence: Article or interviewA newsletter, journalist or interview account of what happened.

Source

Posted
by OpenAI Academy (story about Shauna O'Brien)
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Method:
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https://academy.openai.com/public/blogs/chatgpt-helped-her-get-her-husband-lifesaving-care-in-the-nick-of-time-2026-10-14

Context: This story is published by OpenAI, which makes ChatGPT. Paramedics and ER doctors made the diagnosis; ChatGPT's role was urging the return visit and helping the family follow the care.

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