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Artificial Intelligence (4933) Big Data (444) Advanced Data Analytics in eHealth (370) eHealth Infrastructures (508) Machine Learning (3303) Data Science (721) Innovations in Clinical Trials and Research Data Management (215) AI Data (40)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/74976, first published .
3D diagram showing data flow to Data Warehouse, Data Lake, and Data Lakehouse

Enhancing Clinical Data Infrastructure for AI Research: Comparative Evaluation of Data Management Architectures

Enhancing Clinical Data Infrastructure for AI Research: Comparative Evaluation of Data Management Architectures

Authors of this article:

Richard Gebler1 Author Orcid Image ;   Ines Reinecke2 Author Orcid Image ;   Martin Sedlmayr1 Author Orcid Image ;   Miriam Goldammer1 Author Orcid Image
Article Authors Cited by (20) Tweetations Metrics

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  1. Pushpendra Sharma , Prof. (Col.) Shiv Singh Sarangdevot . Optimizing Machine Learning Pipelines via Adaptive Hybrid Classification Models: Toward Scalable, Self-Updating AI Architectures. International Journal of Scientific Research in Science, Engineering and Technology 2025;12(5):84 View
  2. Abasi A, Ayatollahi H, Motevalian S. Characteristics of cohort data management systems (CDMS): a scoping review. BMC Medical Research Methodology 2025;25(1) View
  3. Balkhair O, Albalushi H. Artificial Intelligence in Organoid-Based Disease Modeling: A New Frontier in Precision Medicine. Biomimetics 2025;10(12):845 View
  4. Maimaitiaili M, Jiamaliding Y, Dai G, Xiao H, Kuerbanjiang W, Yi Y. Artificial Intelligence Platform Architecture for Hospital Systems: Systematic Review. Journal of Medical Internet Research 2025;27:e79788 View
  5. Pulick E, Carey K, Qyli T, Oguss M, Picart J, Penumalee L, Nezirova L, Tully S, Gilbert E, Shah N, Ravichandran U, Afshar M, Edelson D, Mintz Y, Churpek M. Treatment Recommendations for Clinical Deterioration on the Wards: Development and Validation of Machine Learning Models. JMIR AI 2026;5:e81642 View
  6. Lv D, Liu R, Wang X, Liang T, Zhang L, Zeng W, He Z, Deng L, Zhang Z, Qin G, Chen W. A comprehensive multi-task deep learning model for kidney cancer: histological subtyping, clinical staging, and anatomical complexity grading. European Radiology 2026;36(6):4513 View
  7. Aggarwal R, Bhatt D. The potential of artificial intelligence in clinical trials. European Journal of Clinical Investigation 2026;56(3) View
  8. Janssen E, Knoop J, Farabolini G, Baldini N, Hoogeboom T, Ceravolo M, Negrini S, Kiekens C, Emin A, Vasilis A, Giuseppe B, Erik C, Marianna C, Claudio C, Irene F, Charalampos G, Georgios G, Margarita G, Christian H, Lisa H, Janssen E, Shahnawaz K, Ioannis K, Vasilios K, Lampros M, Negrini A, Spiros N, Erik N, Robert P, Petros P, Federico P, Arianna P, Themistocles R, Ruud S, Bart S, Dimitrios T, Martino T, Haris Z, Burger H, Kuret Z, Vidmar G, Matjačić Z. The GUIDE-CDSS framework: a comprehensive framework to GUIDE and evaluate the implementation of Clinical Decision Support Systems in healthcare, based on an overview of reviews. Journal of the American Medical Informatics Association 2026;33(9):1811 View
  9. Tlemcani C, Faroukhi A, Gahi Y. From ETL to Modern Data Stack: A Systematic Review and Strategic Implementation Framework. Information 2026;17(7):630 View
  10. Wang Y, Zhao Q, Zhang Q, Zhou X, Ren S, Gu Y, Quan N, Li S, Feng L. Artificial intelligence-enhanced neurovascular care: From diagnosis to rehabilitation in cerebrovascular diseases: A narrative review. Brain Circulation 2026 View
  11. Anghel C, Anghel A, Craciun M, Moldovanu S, Cocu A, Vulpe D, Maier C, Potop V, Dragosloveanu C, Andrei C, Dragosloveanu S, Scheau C. From Medical Records to AI-Ready Datasets: A Practical Guide for Clinical Researchers. Journal of Clinical Medicine 2026;15(16):6297 View
  12. Faza A, Lestari I. Information Governance as a Dynamic Capability for Data-Driven AI Innovation: A Systematic Literature Review. Applied Cybersecurity & Internet Governance 2026 View
  13. Kowalska A, Nowak P, Zielinski T, Mazur K. An Autonomous Clinical Workflow Intelligence Architecture for Hospital Decision Ecosystems. Journal of Artificial Intelligence for Healthcare Systems 2026;5(1) View
  14. Vieira K, Castro M, Costa M, Mendes A, Pinho T, Carriço N. Predicting Vessel Time at Berth for Smart Berth Planning: A Machine-Learning Approach on a Governed Data Lakehouse at the Port of Sines. Logistics 2026;10(10):221 View
  15. Vieira K, Mendes A, Costa M, Pinho T, Castro M. Design and Validation of a Governed Data Lakehouse Architecture for Big Data Analytics: Evidence from a Smart Port. Big Data and Cognitive Computing 2026;10(10):331 View

Books/Policy Documents

  1. Flores-Garcia M, Pilar Mercader M, Lopez E, Majumdar S. City of the Future. View
  2. Aarthi S, R. N. R, S. A. S, A. S, Srinivasan S, S. K. Blockchain and Digital Twins for Smart Hospital Infrastructures. View

Conference Proceedings

  1. García-Ponsoda S, Sanchis J, Trujillo J, Maté A, Trujillo M. 2025 IEEE International Conference on Big Data (BigData). A Clinical Data Lake for ADHD Research: Architecture, Integration, and Early Outcomes View
  2. Bhargavi K, Sharma N, Lande J, L P, Kumar A, Sikarwar S. 2026 2nd International Conference on Sustainable Computing and Integrated Communication in Changing Landscape of AI (ICSCAI). An Adaptive AI-Based Approach to Bridge the Gap Between Controlled Training Data and Real-World Clinical Practice in Decision Support Systems View
  3. Zhu J. 2026 11th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA). Cloud-Native Big Data Analytics for Optimizing Antibody-Drug Conjugates (ADCs) Clinical Trial Design in Pancreatobiliary Cancers View