This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1915) Clinical Informatics (1325) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (698) Electronic Health Records (1319)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54263, first published .
Electronic Health Record–Oriented Knowledge Graph System for Collaborative Clinical Decision Support Using Multicenter Fragmented Medical Data: Design and Application Study

Electronic Health Record–Oriented Knowledge Graph System for Collaborative Clinical Decision Support Using Multicenter Fragmented Medical Data: Design and Application Study

Electronic Health Record–Oriented Knowledge Graph System for Collaborative Clinical Decision Support Using Multicenter Fragmented Medical Data: Design and Application Study

Authors of this article:

Yong Shang1 Author Orcid Image ;   Yu Tian2, 3 Author Orcid Image ;   Kewei Lyu2, 3 Author Orcid Image ;   Tianshu Zhou1 Author Orcid Image ;   Ping Zhang4 Author Orcid Image ;   Jianghua Chen4 Author Orcid Image ;   Jingsong Li1 Author Orcid Image
Article Authors Cited by (5) Tweetations Metrics

Journals

  1. Azadi A, García-Peñalvo F. Aligning EMR Structure with Treatment Cycles: Enhancing Data Management and CDSS Functionality. Applied Sciences 2025;15(10):5273 View
  2. Zhang Y, Hu X, Wang H, Liu K, Gao Y, Jiang X, Fan Y, Fang Z. Liver cancer knowledge graph construction based on dynamic entity replacement and masking strategies RoBERTa-wwm-large-BiLSTM-CRF model with clinical Chinese EMRs. Frontiers in Artificial Intelligence 2025;8 View
  3. Wu J, Zuo Q, Zhang W, Liu J, Fang S, Li P, Zhang L. Using electronic health records to improve cardiovascular-kidney-metabolic health: a protocol for the China Cardiovascular-Kidney-Metabolic Cohort-WeinAn REsearch (CKM-CARE). BMJ Open 2025;15(11):e109437 View

Conference Proceedings

  1. Ma P, Liu D, Li X, Cheng J, Luo B. Proceedings of the 2024 5th International Symposium on Artificial Intelligence for Medicine Science. Construction and Analysis of the Text Information Extraction Corpus for Electronic Medical Records Specific to Coronary Heart Disease View
  2. Garcia J, Gong J, Zajac M, Hahn A. Proceedings of the ACM/IEEE International Conference on Connected Health: Applications, Systems and Engineering Technologies. DF-RAG: A Dual Federated Retrieval-Augmented Generation Framework for Collaborative Medical AI View