Abstract
BACKGROUND: Worldwide, patients are increasingly being offered access to their full online clinical records including the narrative reports written by clinicians (so-called "open notes"). Against these developments, there is growing interest in the use of generative artificial intelligence (AI) such as OpenAI's ChatGPT to co-assist clinicians with patient-facing documentation. OBJECTIVE: This study aimed to explore the effectiveness of OpenAI's ChatGPT 3.5 and GPT 4.0 in generating three patient-facing clinical notes from fictional general practice narrative reports. METHODS: On 1 October 2023 and 1 November 2023, we used ChatGPT 3.5 and 4.0 to generate notes for three validated fictional general practice notes, using a prompt in the style of a British primary care note for three commonly presented conditions: (1) type 2 diabetes, (2) major depressive disorder, and (3) a differential diagnosis for suspected bowel cancer. Outputs were analyzed for reading ease, sentiment analysis, empathy, and medical fidelity. RESULTS: ChatGPT 3.5 and 4.0 wrote longer notes than the original, and embedded more second person pronouns, with ChatGPT 3.5 scoring higher on both. ChatGPT expanded abbreviations, but readability metrics showed that the notes required a higher reading proficiency, with ChatGPT 3.5 demanding the most advanced level. Across all notes, ChatGPT offered higher signatures of empathy across cognitive, compassion/sympathy, and prosocial cues. Medical fidelity ratings varied across all three cases with ChatGPT 4.0 rated superior. CONCLUSIONS: While ChatGPT improved sentiment and empathy metrics in the transformed notes, compared to the original they also required higher reading proficiency and omitted details impacting medical fidelity.