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Get a structured first draft of patient-friendly content from clinical source material in minutes. Patiently AI handles the mechanical translation from clinical to lay language so you can focus your review time on accuracy, readability, and tone.

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The problem it solves

A discharge summary, clinic letter, or study results document written for HCPs is largely unreadable for the patients it concerns. Translating this content into language a patient can genuinely understand — without losing medical accuracy or creating false reassurance — is one of the most skilled tasks in medical writing. It is also time-consuming, because you must simultaneously hold the clinical meaning and the patient’s reading level in mind while drafting. Patiently AI produces a structured first draft from clinical source material. You then review for accuracy (has simplification changed the meaning?), readability (would the target patient actually understand this?), and tone (is it reassuring without being misleading?).

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How to use it

1

Provide the source material

Supply the clinical text, medical notes, or technical content that needs simplification. The clearer and more complete the source, the better the output.
2

Run Patiently AI

Generate a patient-friendly version of the content. Patiently AI adjusts terminology, sentence structure, and framing for a non-specialist reader.
3

Review for accuracy

Confirm that simplification has not changed the medical meaning. Pay particular attention to safety information, dosing instructions, and any numerical data.
4

Review for readability

Assess whether the output is genuinely accessible to the target audience — not just technically simplified, but written at an appropriate reading level with a logical structure.
5

Expert review before use

Patient-facing medical content must be reviewed by a qualified medical professional before it reaches patients. Do not use Patiently AI output directly without this step.

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What it does well

  • Translates medical jargon into plain language while maintaining core meaning
  • Produces structured, readable output suitable for patient communications
  • Handles common medical terminology and standard procedural descriptions
  • Gives writers a reviewed starting point rather than a blank page

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What it does not do

Patient-facing content is medium-to-high risk. Simplification can inadvertently change medical meaning, omit important safety information, or create false reassurance. All Patiently AI output must be reviewed by a medical professional before it reaches patients.
Patiently AI simplifies existing medical information — it does not generate medical recommendations or clinical guidance that wasn’t present in the source material.
The output requires review by someone with expertise in patient-facing medical content. Patiently AI is a drafting tool, not an authoring authority.
Output should be assessed against relevant health literacy standards — reading level, structure, formatting — by a qualified reviewer. The tool does not automatically meet any specific health literacy framework.
A human must decide what information is suitable for a patient audience. Patiently AI simplifies what you provide — it does not evaluate whether what you’ve provided should be shared with patients.

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Risk tier

Patient-facing content is medium-to-high risk. All Patiently AI output must be reviewed by a medical professional before it reaches patients. See the risk levels framework for full context.

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Workflow integrations

Create a plain language summary

Primary use. Generating patient-friendly first drafts from clinical source materials.

Adapt for different audiences

Supporting use. When the target audience for an adaptation workflow includes patients or lay readers.

Final human review

Always required. Patient-facing content must pass the final human review gate before use.

PLS Generator

Related tool. Use PLS Generator for structured plain language summaries of clinical trial results specifically.

Try Patiently AI at PharmaTools.AI

Part of the PharmaTools.AI toolkit for medical writing teams.