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The Pathologist / Issues / 2026 / May / The Language of Autopsy and How to Translate It
Forensics Bioinformatics Technology and innovation Clinical care Profession Software and hardware Research and Innovations Voices in the Community Training and education Professional Development

The Language of Autopsy, and How to Translate It

How a team at Stanford is using technology to improve communication with bereaved families

By Helen Bristow 05/28/2026 Interview 6 min read
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Clinical Scorecard: The Language of Autopsy, and How to Translate It

At a Glance

CategoryDetail
ConditionCommunication of autopsy findings to bereaved families
Key MechanismsUse of generative AI to create family-friendly summaries from technical autopsy reports
Target PopulationFamilies and next of kin of deceased individuals
Care SettingPathology departments in hospitals

Key Highlights

  • Autopsy reports are often too technical for families to understand.
  • Generative AI can create accessible summaries of autopsy findings.
  • Current solutions often involve family meetings, which can lead to confusion.
  • CAP reporting standards dictate the complexity of autopsy reports.
  • AI-generated summaries can address common family questions effectively.

Guideline-Based Recommendations

Diagnosis

    Management

    • Utilize plain-language guidelines for patient-facing health materials.

    Monitoring & Follow-up

      Risks

      • Technical density of reports may lead to misunderstanding without proper translation.

      Patient & Prescribing Data

      Families of individuals who have undergone autopsy

      AI-generated summaries can improve understanding of autopsy findings.

      Clinical Best Practices

      • Maintain high diagnostic standards while simplifying communication.
      • Use structured frameworks for summarizing autopsy reports.
      • Incorporate glossaries for medical terms in summaries.

      Related Resources & Content

      • Stanford School of Medicine
      • CDC Plain Language Guidelines

      This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.

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      About the Author(s)

      Helen Bristow

      Combining my dual backgrounds in science and communications to bring you compelling content in your speciality.

      More Articles by Helen Bristow

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      Dive deeper into the world of pathology. Explore the latest articles, case studies, expert insights, and groundbreaking research.

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