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Organize a parent's cancer records and appointment questions with NotebookLM and Claude

WorkedEvidence: Article or interviewPosted Last checked

Pratik Desai used NotebookLM and Claude to sort a mother's 1,600 pages of cancer notes and prepare questions for doctors.

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These are my mother's medical records, test results and visit notes. Summarize where things stand, point out anything that looks inconsistent or possibly wrong between records, and list the questions I should ask at the next appointment.

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Sends the Recreated prompt shown above. ChatGPT and Grok open with it filled in, and ChatGPT may send it straight away. Gemini and Claude open empty, so we copy the prompt for you to paste. Every button also copies it.

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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: Organize a loved one's medical records so I can follow their care and bring better questions to their doctors.

Questions to ask me first:
- Who is the patient, and what is the main diagnosis?
- Which records do you have (visit notes, labs, scans, medication lists), and from what dates?
- When is the next appointment, and with whom?

Inputs (fill in or confirm):
- Records and notes: [UPLOADED RECORDS]
- Current medication list: [MEDICATIONS]
- Symptoms or changes I've noticed and when: [SYMPTOMS / DATES]
- Next appointment: [DOCTOR / DATE]

Rules:
- Summarize the timeline in plain words, citing which record each point comes from.
- List anything that looks inconsistent between records as a question for the care team, not a conclusion.
- Never suggest changing treatment or medicine; the doctors decide that.
- Tell me which new symptoms mean I should call the care team or go to the emergency room now.

Checkpoint: Show me the timeline and the list of possible inconsistencies first, then wait before drafting appointment questions.

If you get stuck: If the records are too long to handle at once, tell me and suggest how to split them by date or type.

Verify before you finish: Check that every point cites a record and that every concern ends with asking a clinician.

Output: A dated timeline, a list of questions for the care team and urgent warning signs.

Done when: I have a one-page question list for the next appointment.

AI tools

NotebookLMClaude

Outcome

When Pratik Desai's mother, Smruti, was diagnosed with stage 4 cancer, Desai used NotebookLM and Claude to build a tool that pulled together the medical information and suggested what to ask at appointments. Desai says it caught mistakes and misdiagnoses in the records. Once, it suggested complications of a pulmonary embolism; Desai checked that idea with a cousin who is a doctor and then rushed Smruti to the hospital. The first no-code setup couldn't keep up with 1,600 pages of notes, so Desai built a more complex system. Desai believes the workflow saved Smruti's life three times and says it helped the family ask the right questions and push the doctors to do better. Smruti lived 76 days after the diagnosis and died at 67.

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

Source

Posted
by Noah Sheidlower (Business Insider)
Last checked
Method:
How we verify

https://www.businessinsider.com/elder-care-dementia-cancer-ai-vibe-coding-claude-lovable-cursor-2026-5

Context: Desai is a startup founder with technical skills, and the first no-code version couldn't handle the volume of records. The embolism idea was checked with a doctor before Desai acted. The claims of caught errors are Desai's own account. Smruti died 76 days after diagnosis.

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