Disease Progression Modeling Workbench 360
This work addresses the problem of collaborative research and delivery in healthcare AI for researchers and practitioners, but it appears incremental as it builds upon existing OHDSI tools.
The authors tackled the challenge of managing the entire modeling lifecycle in healthcare AI by introducing DPM360, an open-source clinical informatics framework that integrates data standardization, machine learning training, and cloud deployment, though no concrete results or numbers are provided as it is described as a future development.
In this work we introduce Disease Progression Modeling workbench 360 (DPM360) opensource clinical informatics framework for collaborative research and delivery of healthcare AI. DPM360, when fully developed, will manage the entire modeling life cycle, from data analysis (e.g., cohort identification) to machine learning algorithm development and prototyping. DPM360 augments the advantages of data model standardization and tooling (OMOP-CDM, Athena, ATLAS) provided by the widely-adopted OHDSI initiative with a powerful machine learning training framework, and a mechanism for rapid prototyping through automatic deployment of models as containerized services to a cloud environment.