Purpose/Significance To explore the application potential of artificial intelligence generated content (AIGC) technology in the field of medical knowledge service and to lay a theoretical and practical foundation for the transformation of knowledge service in hospital libraries.Method/Process Focusing on the actual needs of hospital libraries, delving into typical scenarios of knowledge service transformation under the AIGC perspective, a technical path of “data integration-model invocation-model fine tuning-model integration-model maintenance” is proposed, a large language model for the hospital library domain is customized, possible challenges are discussed and corresponding strategies are proposed. Result/Conclusion AIGC technology brings new opportunities for the transformation of knowledge service in hospital libraries, which can realize the automation and intelligence of knowledge service, effectively improve the service quality and efficiency, and promote the high-quality development of hospitals. However, it also faces issues such as data quality, privacy security, model deviation and other problems. Measures such as embedding authoritative data, establishing audit mechanisms, strengthening data encryption and compliance review should be taken to ensure the stable application of technology.