To explore the implications of patients accessing pathology reports directly and the challenges in understanding them.
Approach:
Study on Patient Understanding: A randomized study of 2,238 adults published in JAMA in early 2025 assessed comprehension of standard versus patient-centered pathology reports, finding significant differences in understanding.
Survey on Cancer Diagnosis Communication: A survey of 2,412 cancer patients conducted by Sheena Bhalla and colleagues at UT Southwestern in 2024 examined how patients learned about their diagnosis, revealing varied preferences for communication.
AI in Patient Communication: A prospective controlled trial published in Radiology in November 2025 evaluated the effectiveness of AI-generated simplified reports in improving patient comprehension, showing notable improvements.
Key Findings:
39% of patients understood standard reports correctly, while 93% understood patient-centered versions (JAMA, 2025).
7% of patients learned their diagnosis through an online portal, often alone and without immediate support (UT Southwestern, 2024).
AI can improve readability of medical reports but may still contain factual errors and omissions (Radiology, 2025).
Interpretation:
The shift in access to pathology reports has created a need for clearer communication tailored to patients, as traditional reports were not designed for patient understanding.
Limitations:
Patients often turn to AI tools for interpretation without clinician supervision, which can lead to misunderstandings.
AI-generated reports still require professional review to ensure accuracy and prevent misinformation.
Conclusion:
The evolving landscape of patient access to medical information necessitates new approaches to communication, balancing patient autonomy with the need for accurate understanding.
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