Abstract: Various methods, systems and computer program products of the Parameter Identification Engine receives a first batch of patient data. The Parameter Identification Engine identifies a plurality of sets of estimated input parameters for a pharmacology model(s) based on an estimated or assumed uncertainty distribution for the input parameters. The Parameter Identification Engine generates one or more patient objective function values, whereby each respective patient objective function value represents a confidence measure that a corresponding set of estimated input parameters fed into the pharmacology model returns model output comprising one or more values in the received patient data. In some embodiments, the values in the received patient data may be based on measured and observed actual data from patients.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for pharmacology model optimization based on distributed data acquisition. A computer system stores a first pharmacology model associated with a drug dosage model for a particular medication. The computer system receives patient data including pharmacological data and data values for a drug identifier and a pharmacology model identifier. The pharmacological data being associated to drug dosing for the particular medication. The computer system aggregates the received data into a first data set based on the drug identifier value. The computer system optimizes the first pharmacology model using the first data set, thereby generating a second pharmacology model. The computer system provides access to the optimized second pharmacology model.