Machine Learning-Enabled Clinical Information Systems Using Fast Healthcare Interoperability Resources Data Standards: Scoping Review.
Jeremy A BalchMatthew M RuppertTyler J LoftusZiyuan GuanYuanfang RenGilbert R UpchurchTezcan Ozrazgat-BaslantiParisa RashidiAzra BihoracPublished in: JMIR medical informatics (2023)
Shortcomings in current ML-CISs can be addressed by incorporating modular and interoperable data management, analytic platforms, secure interinstitutional data exchange, and application programming interfaces with adequate scalability to support both real-time and prospective clinical applications that use electronic health record platforms with diverse implementations.