Can Artificial Intelligence Improve the Readability of Patient Education Materials?
Gregory J KirchnerRaymond Y KimJohn B WeddleJesse E BiblePublished in: Clinical orthopaedics and related research (2023)
We found that a freely available AI dialogue platform can improve the reading accessibility of orthopaedic surgery online patient education materials to recommended levels quickly and effectively. Professional organizations and practices should determine whether their patient education materials exceed current recommended reading levels by using widely available measurement tools, and then apply an AI dialogue platform to facilitate converting their materials to more accessible levels if needed. Additional research is needed to determine whether this technology can be applied to additional materials meant to inform patients, such as surgical consent documents or postoperative instructions, and whether the methods presented here are applicable to non-English language materials.
Keyphrases
- artificial intelligence
- healthcare
- machine learning
- case report
- end stage renal disease
- big data
- chronic kidney disease
- minimally invasive
- newly diagnosed
- quality improvement
- high throughput
- deep learning
- ejection fraction
- working memory
- patients undergoing
- prognostic factors
- coronary artery disease
- social media
- peritoneal dialysis
- health information
- coronary artery bypass
- patient reported outcomes
- atrial fibrillation
- patient reported