| Title： | Expert Consensus on Intelligent General Practitioners |
| Edition： | Original |
| Classification： | Experts consensus |
| Field： | Comprehensive guideline |
| Countries and regions： | China |
| Guidelines users： | General practitioners, researchers, and managers. |
| Evidence classification method： | GRADE |
| Development unit： | Tsinghua University and Peking University |
| Registration time: | 2024-08-28 |
| Registration number： | PREPARE-2024CN344 |
| Purpose of the guideline: | The rapid development of artificial intelligence and large-scale model technologies has brought new transformations to medical clinical practice. Numerous studies and clinical practices, both domestically and internationally, have already begun exploring the field of intelligent general practitioners. General practitioners serve as the "gatekeepers" of healthcare systems, catering to the needs of patients and those seeking health services. There is an urgent need to establish an expert consensus on what constitutes an intelligent general practitioner, including its definition, core characteristics, scope of services, clinical application areas, and key considerations, to facilitate the scientific clinical practice of intelligent general practitioners. Against this backdrop, Tsinghua University, in collaboration with Peking University, brought together a multidisciplinary team of experts in general practice, public health, evidence-based medicine, and artificial intelligence. Based on an extensive review of domestic and international literature and after multiple rounds of expert discussions, they ultimately developed the "Expert Consensus on Intelligent General Practitioners," aiming to provide a scientific guide for enhancing clinical practice for general practitioners through intelligent technology. |
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