aceReadability and Content Integrity of Discharge Documents for Common Pediatric Orthopaedic Procedures Before and After Artificial Intelligence Simplification
Background: Caregivers of pediatric orthopaedic surgical patients routinely receive discharge documents written at reading levels exceeding established health literacy recommendations. This disparity creates a significant barrier to comprehension and adherence to postoperative instructions. While artificial intelligence (AI) language models offer a scalable solution for simplification of medical text, a systematic evaluation of the ability to preserve critical content in surgical discharge materials remains lack…
Simplifying caregiver discharge documents with ChatGPT lowered mean reading level by about four grade levels, bringing 11 of 15 documents to a sixth-grade level or below.
The same simplified documents contained 35 content flags, including 12 safety-critical errors, and three needed clinician revision because of omissions before they could be used clinically.
The study used only 15 documents covering three pediatric orthopaedic conditions and one model with a single standardized prompt, so results may not generalize; the source also classifies it as Level III evidence.
Evidence
- Peer-reviewedJournal of Pediatric Orthopaedics2026-10-19
How should this claim be treated?
Truvace Impact Record TRV-2026-1916, v1: “Readability and Content Integrity of Discharge Documents for Common Pediatric Orthopaedic Procedures Before and After Artificial Intelligence Simplification.” Truvace, 2026-10-19. /record/TRV-2026-1916 (accessed at citation time). sha256 3e4fae32fdbff97d…
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