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TRUVACE RECORD VERSION
record: TRV-2026-1296
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-10-06T06:56:22.801692Z
status: published
lens: trace
sector: health
headline: Guideline-augmented prompting improves comparative preference and response consistency of large language model outputs for orthopaedic anaesthesia questions: A controlled prompting study
dek: Purpose Large language models (LLMs) are increasingly used in clinical contexts; however, performance in complex perioperative decision-making remains uncertain. Orthopaedic anaesthesia presents a demanding test case due to comorbidity burden and guideline-dependent management. Whether successive LLM generations and guideline-augmented prompting improve clinical alignment, comparative performance and response consistency was evaluated in this study. Methods In this controlled prompting study, 34 orthopaedic anae…
gain_title: Guideline-augmented prompting increased blinded preference win rates and improved response consistency for LLMs answering orthopaedic anaesthesia questions compared to human experts.
problem_title: LLM responses for orthopaedic anaesthesia showed variable consistency, with later models exhibiting greater partial variability despite avoiding fully contradictory outputs.
trace_subject: LLM-generated answers to orthopaedic anaesthesia questions evaluated for preference and consistency
gain_reading: Guideline-augmented prompting increased blinded preference win rates and improved response consistency for LLMs answering orthopaedic anaesthesia questions compared to human experts.
gain_evidence: Performance was improved by guideline augmentation, most notably for GPT-4o (91.2%, +11.8 percentage points) | Guideline augmentation numerically improved GPT-5.2 consistency (66.7% to 80.4%) | All LLMs were preferred over human experts in pairwise comparisons without guideline augmentation, with win rates of 67.6% (GPT-3.5-turbo), 79.4% (GPT-4o) and 95.1% (GPT-5.2)
problem_reading: LLM responses for orthopaedic anaesthesia showed variable consistency, with later models exhibiting greater partial variability despite avoiding fully contradictory outputs.
problem_evidence: Response consistency varied between models | GPT-5.2 demonstrated no fully contradictory outputs but showed greater partial variability
quick_read: In a controlled prompting study of 34 orthopaedic anaesthesia questions, three LLMs and three expert anesthesiologists generated answers, with GPT-4o and GPT-5.2 tested both with and without clinical practice guidelines. An independent guideline-informed LLM judge performed blinded pairwise comparisons, recording preference, consistency and confidence.

The findings matter because orthopaedic anaesthesia involves high comorbidity burden and guideline-dependent management where LLM assistance is being considered. While successive generations and guideline augmentation improved preference and consistency, variability persisted and reliance on an LLM judge leaves uncertainty about real-world clinical safety and generalizability.
limitation: Comparative assessment relied on an LLM-as-a-judge rather than direct patient outcomes, and the authors note this method still needs validation.
tag: Dual reading
key_points: Controlled prompting study used 34 orthopaedic anaesthesia questions spanning seven clinical subdomains answered by GPT-3.5-turbo, GPT-4o, GPT-5.2 and three expert anesthesiologists. | Blinded pairwise evaluation was performed by an independent guideline-informed LLM-as-a-judge (GPT-5.2) using same guideline material as reference standard. | GPT-4o showed the highest baseline consistency at 80.4% while GPT-5.2 showed no fully contradictory outputs but greater partial variability before augmentation.
rundown: The study tested three successive generations with and without access to relevant clinical practice guidelines, anonymizing all outputs for blinded comparison against human expert answers.

Intra-model consistency was measured from repeated independent generations, and qualitative analysis linked preference for later generations to greater completeness, explicit clinical reasoning and guideline-oriented responses.
sources:
- peer_reviewed | Journal of Experimental Orthopaedics | https://doi.org/10.1002/jeo2.70922 | 2026-10-03
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