At the time of discharge, patients will receive patient-friendly discharge instructions generated by GPT-4, an advanced natural language processing model, with the aim of enhancing patient readability and understandability in the discharge information.

At the time of discharge, patients will receive standard discharge instructions (i.e., not generated by GPT-4).

Patient-friendly hospital discharge instructions generated by GPT-4, an advanced natural language processing model.

This is a composite outcome measure. Readability of discharge summaries will be measured using the Flesch-Kincaid Grade Level assessment, which measures how challenging a text may be for readers. Scores on the Flesch-Kincaid assessment are rated as follows:

0-3: Basic reading level, (kindergarten or elementary school) 3-6: Basic reading level, (elementary school ) 6-9: Average reading level, (middle school) 9-12: Average reading level, (high school) 11-18: Skilled readers.

Understandability will be evaluated by the presence of simplified description of primary diagnosis and hospital intervention.

Summaries with both 1) presence of simplified description of primary diagnosis and hospital intervention, and 2) a Flesch-Kincaid grade level greater than or equal to 6 and less than 8, will be considered to have a "positive outcome."

Changes made to content will be assessed using edit distance.

Patients will be given a survey in which they are asked whether they feel safe with the discharge instructions they were provided. The total score is the number of participants who respond "Yes, definitely" or "Yes, somewhat" to the question.