Abstract: An analytics core and/or an analytics core associated with aggregation are presented. For example, a system includes a monitoring component, a catalog component, a model suite component, and a model processing/learning component. The monitoring component monitor and analyzed data associated with one or more assets. The catalog component manages analytics associated with the one or more assets, where the catalog component manages a set of models for the one or more assets. The model suite component selects a subset of models from the set of models. The model processing/learning component process the subset of models and performs learning associated with the subset of models to predict a health state for the one or more assets.

Abstract: Certain embodiments provide a method for viewing biometrical information, determining the clinical state of the patient, and dynamically adapting schedule and process interdependencies in a clinical environment. The method includes deriving a schedule including at least one patient treatment protocol based on a mathematical model using people and asset information as input. The method also includes processing input biometrical data indicating a patient status. Additionally, the method includes adapting the at least one patient treatment protocol based on the biometrical data. Further, the method includes revising the schedule based on adapting the at least one patient treatment protocol. In certain embodiments, the method includes recalculating a critical path, schedule tasks, and resource allocation based on adapting the at least one patient treatment protocol and revising the schedule.