Overturn an insurance denial for a heart test with a Deep Research appeal

When her husband's insurer called a nuclear stress test experimental and denied it, NJ Shelsby used ChatGPT Deep Research to find five peer-reviewed studies, then drafted an appeal letter for the cardiologist to review. A week later the insurer reversed its decision.

Try it yourself

What you get

Peer-reviewed evidence that a denied test or treatment is standard care, plus an appeal letter for your doctor to review and send.

Tools

  • ChatGPT with Deep Research
  • The denial letter

Time / cost: About 15 minutes: 10 for research, 5 for the draft (per author)

Steps

  1. Read the denial reason carefully, for example "experimental" or "not medically necessary".
  2. Ask a research mode to find peer-reviewed studies and guidelines that contradict that reason.
  3. Have it draft an appeal letter citing those studies.
  4. Give the draft to the doctor who ordered the test to review and send.

Copy-ready prompt

My insurer denied [test/treatment] for [patient, relevant history] as [denial reason quoted from the letter]. Find peer-reviewed studies and professional guidelines showing this test is standard, effective care for patients like this. List each with its title, journal, year and link, plus a one-line finding. Then draft an appeal letter for the ordering doctor to review and sign, citing the strongest 3-5 sources. Only cite sources you can link to.

Prompt written by AgentPlays from the source. Fill in the [brackets] and approve before anything is sent or bought.

Watch out: Check that every study exists and says what the letter claims before it's sent. Not stated in the source whether the doctor edited the draft.

Proof / source

Self-reported The author's own LinkedIn post.

In their words

Using Deep Research mode, ten minutes later, I had five solid studies.

— NJ Shelsby on LinkedIn

Read the original source ↗

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