Research研究

Research Areas研究领域

The Academy pursues research across the breadth of the Chinese medical sciences, bringing together classical scholarship and modern scientific methods.本院的研究广泛涵盖中医药科学的各个领域，将传统学术与现代科学方法相结合。

Our Approach我们的方法

The Academy is committed to research that respects the theoretical integrity of Chinese medicine while upholding the standards of modern scholarship — methodological rigour, transparency, peer review and academic integrity. We believe the tradition is best served by careful study, honest evidence and open scholarly debate.本院致力于开展既尊重中医药理论完整性、又坚持现代学术标准的研究——包括方法学的严谨性、透明度、同行评审与学术诚信。我们相信，唯有审慎的研究、诚实的证据与开放的学术讨论，才能真正服务于这一传统。

Research Outputs研究成果

The Academy has built a structured system of materia medica entries that maps botanical identity, traditional use and contemporary evidence against one another, with each record annotated with traceable source citations. Entries remain subject to an open editorial revision process, allowing practitioners and researchers to submit corrections for review before inclusion.本院建立了一套结构化的本草条目体系，将植物学身份、传统用法与现代证据相互对应，每条记录均标注可追溯的出处引用。所有条目均处于开放的编辑修订流程中，从业者与研究者可提交更正意见，经审核后予以采纳。

The Academy has developed a four-path search protocol tailored to the Australian regulatory environment, covering genus-level prohibitions, species-level thresholds, common-name and official pinyin cross-referencing, and active-constituent scheduling — addressing both practitioner dispensing and product/import perspectives. Entries are annotated with verification status after review by named assessors.本院针对澳大利亚监管环境，开发了一套四路径检索协议，涵盖属级禁用、种级阈值、通用名与官方拼音互查、以及活性成分管制分类——兼顾从业者配药与产品/进口两种视角。各条目均在具名审核员核实后标注核验状态。

The Academy has developed an AI-assisted pattern-differentiation data capture workflow that records real-world clinical data in structured form and follows up on outcomes over time, building an analysable real-world evidence base for Chinese medicine clinical practice.本院开发了一套人工智能辅助的辨证数据采集流程，以结构化形式记录真实世界临床数据，并对结局进行长期随访，从而建立起可供分析的中医药临床真实世界证据库。

The Academy has synthesised published systematic reviews into a condition-by-intervention matrix, with each cell linked to its original source, including DOI. Evidence ratings are drawn directly from the source literature without subjective re-weighting, ensuring methodological transparency and traceability.本院将已发表的系统综述整合为"病症—干预措施"矩阵，每个单元格均链接至原始出处（含 DOI）。证据评级直接取自原始文献，不做主观再加权，确保方法学的透明与可追溯性。

Explore Our Platforms探索我们的平台

The Academy builds and maintains its own digital research platforms — including a structured materia medica knowledge base, a regulatory index for Chinese herbs, a real-world evidence workbench, and an evidence map — applying AI and real-world data to structure traditional knowledge and support evidence-informed research. These platforms are themselves concrete research outputs, reflected in their data structures, verification methods and evidence synthesis approaches.本院自主建设并维护一系列数字化研究平台——包括结构化本草知识库、中药监管索引、真实世界证据工作台，以及证据地图——运用人工智能与真实世界数据，对传统知识进行结构化整理，支持循证研究。这些平台本身就是具体的研究成果，体现在其数据结构、核验方法与证据综合方式之中。

Research Collaboration研究合作

The Academy welcomes research collaboration with universities, research institutes, hospitals and professional bodies in Australia, China and internationally. We invite partners to work with us on joint research projects, academic conferences, scholarly exchange and the co-supervision of researchers.本院欢迎与澳大利亚、中国及国际的高校、研究机构、医院与专业团体开展研究合作。我们诚邀合作伙伴与本院共同开展联合研究项目、学术会议、学术交流与研究者联合指导等工作。