More in Caregiving & Loss. Also fits: Health & Medical.
Track a mother's cancer care with ChatGPT Projects and AI research tools
WorkedEvidence: Described by posterPosted Last checked
John Bailey organized a mother's cancer records in ChatGPT; AI tools surfaced a missed radiology finding for the doctors.
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Here are my mother's medical records, labs, genetic tests and imaging reports. Summarize each new result in plain language, keep a running timeline of the treatment, and before each appointment draft questions for the oncologist, flagging any finding in the reports that hasn't been discussed yet. Don't recommend treatments.
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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: Keep a parent's cancer records in one place and walk into every appointment with the right questions. Questions to ask me first: - Which records do you have so far, and from which hospitals? - Who is on the care team, and when is the next appointment? - What decisions are coming up? Inputs (fill in or confirm): - Records: [VISIT NOTES, LABS, PATHOLOGY, IMAGING, GENETIC TESTS] - Care team: [ONCOLOGIST, RADIATION, OTHER SPECIALISTS] - Next appointment: [DATE AND PURPOSE] Rules: - Name the document and date behind every fact you state. - Don't diagnose or recommend treatment; frame anything clinical as a question for the doctors. - Flag findings that appear in a report but not in any visit note. - Say plainly when a record is missing or unreadable. Checkpoint: Give me a one-paragraph history so I can confirm you read the records correctly. If you get stuck: If two reports disagree, list both and add it to the questions for the doctor. Verify before you finish: Every flagged finding points to a specific report and line. Output: A dated timeline, a plain-language summary of new results and 5–10 questions for the next visit. Done when: We bring the doctors complete information and the questions that matter.
AI tools
Outcome
When John Bailey's mother's cancer came back in 2025, Bailey built a custom assistant with ChatGPT Projects and custom GPTs, gave it the full history (records, labs, genetic tests and imaging reports from systems that didn't talk to each other), and used it to summarize results in plain language and prepare better questions for the doctors. For research, Bailey used deep research tools with a structured prompt that examined the case like a tumor board, through oncologist, radiation, molecular pathology, clinical-trial and patient-advocate lenses. On at least two occasions the AI surfaced details first overlooked: a finding in a radiology report that the physician's assistant had missed, and a treatment for managing chemo side effects that became part of the care plan once the family raised it with the doctors. Bailey also built a chatbot the mother could ask the same question at three in the morning. Treatment was still under way when the post was written.
Evidence: Described by posterThe person describes what happened in words, without screenshots or video.
Source
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- by John Bailey
- Last checked
- Method:
- How we verify
https://jaggedfrontier.substack.com/p/what-using-ai-for-my-moms-cancer
Context: Bailey says none of this replaced the doctors and that this is not a story about AI curing cancer. Records lived in ChatGPT; deep research also used Claude, Gemini and Manus, and the post doesn't say which tool flagged each detail.
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