Topic-Aware Summarization of Lived Health Care Experiences: Large Language Model Evaluation Study - Scorecard - MDSpire

Topic-Aware Summarization of Lived Health Care Experiences: Large Language Model Evaluation Study

  • By

  • Maneesh Bilalpur

  • Megan E Hamm

  • Young Ji Lee

  • Natasha G Norman

  • Kathleen M Mctigue

  • Yanshan Wang

  • June 11, 2026

  • 0 min

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Clinical Scorecard: Evaluation of Large Language Models for Summarizing Personal Health Care Experiences with Context Awareness

At a Glance

CategoryDetail
Condition
Key Mechanisms
Target Population
Care Setting

Key Highlights

  • Storytelling captures lived health care experiences and promotes behavior change.
  • NLP techniques can identify themes in unstructured spoken-dialogue narratives.
  • LLMs excel at summarizing documents and understanding spoken language.
  • Topic-aware summarization provides fine-grained analysis of health care experiences.
  • The study focuses on gaps in health care delivery systems for African Americans.

Guideline-Based Recommendations

Diagnosis

    Management

      Monitoring & Follow-up

        Risks

          Patient & Prescribing Data

          African American storytellers, including patients, caregivers, and health care professionals

          Insights into health care experiences and potential avenues for intervention

          Clinical Best Practices

            Related Resources & Content

            Original Source(s)

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