Table 1. Extracted variables with their corresponding themes and examples.

Variable	Theme	Example
Primary Investigator’s Name	Study Demographics	Al Hassan
Country of Affiliation.	Study Demographics	Qatar
Year of Publication	Study Demographics	2023
Target Population or Disease	Study Demographics	Diabetes
LLM Models	LLM Characteristics	ChatGPT-4, Bard
LLM Count	LLM Characteristics	3
Custom LLM Configuration	LLM Characteristics	RAG, Fine-Tuning
Usage of Translation Service	LLM Characteristics	Yes, No
Language of the Prompts	LLM Prompt-Related Variables	English, Mandarin
Prompt Count	LLM Prompt-Related Variables	10
Sources of the Prompts	LLM Prompt-Related Variables	Clinical Guidelines
PEM Evaluation Metrics	Generated PEM Assessment	Accuracy, Readability
Metrics Count	Generated PEM Assessment	4, 5
Assessment Framework(s)	Generated PEM Assessment	PEMAT, NA
Accuracy Assessment Method(s)	Generated PEM Assessment	Expert opinion
Readability Assessment Method(s)	Generated PEM Assessment	Flesch-Kincaid
Readability Assessment Tools Count	Generated PEM Assessment	3
Patient Interaction with PEM	Generated PEM Assessment	Yes, No
Participating Patients Count	Generated PEM Assessment	5
Most Accurate LLM	Comparative Outcomes	ChatGPT-4
Most Readable LLM	Comparative Outcomes	Bard