More in Caregiving & Loss. Also fits: Health & Medical.
Prepare a briefing for each specialist visit as a caregiver with ChatGPT
WorkedEvidence: Company case studyPosted Last checked
Daniel Green used ChatGPT to turn a wife's scattered records into a briefing for each specialist and to compare health plans.
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I'm caring for my spouse, who has Long COVID and sees several specialists. Here are the recent lab results, imaging reports, prescriptions and notes. We're about to see a [type of specialist]. Prepare a short briefing for this doctor: what has changed, what we've already tried and what this doctor needs to know.
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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: Turn scattered medical records into a one-page briefing for the next doctor's visit. Questions to ask me first: - Who is the patient to you, and what kind of clinician is the next visit with? - What are the main symptoms or questions right now? - How long is the appointment? Inputs (fill in or confirm): - Records with names and ID numbers removed: [LABS / IMAGING / NOTES] - Current medicines and doses: [MEDICINES] - Treatments already tried and how they went: [TRIED] - Upcoming visit: [SPECIALTY / DATE] Rules: - Organize by what changed since the last visit, what was tried and what this doctor needs to know. - Quote numbers and dates exactly from the records; don't interpret results or suggest diagnoses. - Fit it on one page so it can be read in a short appointment. - End with 3–5 questions to ask. Checkpoint: Show me a timeline of key events from the records and wait for me to fix it before writing the briefing. If you get stuck: If records conflict or a date is missing, flag it as [CHECK] rather than filling it in. Verify before you finish: Check every value, date and medicine against the records I gave you. Output: A one-page briefing with headings, then a short question list. Done when: I can hand the doctor a one-page summary and know what to ask.
AI tool
Outcome
Daniel Green cares for a spouse, Laura, an internal medicine physician living with Long COVID, whose results were spread across separate pages and specialists, with appointments that lasted 15 minutes. Green collected lab results, imaging reports, prescriptions and specialists' notes in one place, and before each visit asked ChatGPT for a "clinical executive briefing": what had changed, what had already been tried and what that doctor needed to know. Green also used deep research to look for specialists across the country, which helped Laura reach a clinician in New York City. When the employer's benefits calculator showed zero dollars for every plan, ChatGPT helped compare health plans across dense PDFs. Laura is still struggling with symptoms.
Evidence: Company case studyA write-up published by the company that makes the AI tool or uses it.
Source
- Posted
- by OpenAI Academy
- Last checked
- Method:
- How we verify
Context: Published by OpenAI. Green's day job is helping executives use AI, and Laura is a physician; the story notes many steps where ChatGPT couldn't help. Keep doctors in charge of medical decisions.
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