Carsten Utoft Niemann, Assoc. Professor, Consultant in Hematology Rigshospitalet, Copenhagen

Research algorithms often face challenges in validation and integration into clinical practice. Addressing issues like data harmonization, missing data handling, automation, and legal compliance is crucial.

We present the deployment of the Chronic Lymphocytic Leukemia (CLL) Treatment Infection Model (CLL-TIM), a data-driven decision support model, into an an EPIC-based Danish Electronic Health Record (EHR)system, offering personalized predictions for (CLL) patients.

Despite unexpected missing data challenges, our approach emphasizes handling high dimensionality and predictive confidence for reliable outcomes. Our deployment process, including automation and monitoring, adheres to Medical Device Regulation, offering a roadmap for deploying research algorithms in clinical settings.

This is from the conference "Artificial Intelligence in Healthcare".

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