Generating Patient Documents from Electronic Health Records Using Generative Artificial Intelligence: A Feasibility Study in a Japanese Cancer Center.
Clinical documentation consumes substantial clinician time, potentially detracting from patient care. Generative artificial intelligence (AI) may support drafting discharge summaries and patient referral documents, but feasibility in non-Western-language oncology settings using real-world electronic health record (EHR) data remains insufficiently evaluated. This study assessed feasibility in a Japanese cancer hospital using an enterprise AI system.
Author(s): Michihata, Nobuaki, Ishii, Hiroshi, Tsujimura, Hideki, Takano, Nobuya, Nomura, Takuji, Takeuchi, Yoshihisa, Kagawa, Shingo, Asai, Shunichi, Kita, Emiri, Komaru, Atsushi, Suito, Hiroshi, Koga, Kunishige, Miura, Yoshifumi, Washio, Aya, Hippo, Yoshitaka
DOI: 10.1055/a-2917-6695