A system for use to adjust programming of an implantable electrical neurostimulation device for treating chronic pain of a human subject, the system comprising: at least one processor; and at least one memory device storing instructions, which when executed by the processor, cause the at least one processor to perform operations that: obtain data related to a state of pain of the human subject; identify pain treatment parameters using a dynamical model, the dynamical model adapted to evaluate the pain treatment parameters in the human subject over a time period, based on the data related to the state of pain, wherein the dynamical model is implemented in continuous time or discrete time, and wherein the dynamical model identifies first or second order dynamics to evaluate the pain treatment parameters, and wherein the dynamical model uses model parameters that are customized to the human subject to identify a new set of pain treatment parameters that provide an improvement in an observed pain condition relative to an existing set of pain treatment parameters; and select a neurostimulation program for the implantable electrical neurostimulation device, the neurostimulation program corresponding to at least a portion of the pain treatment parameters identified using the dynamical model, characterized in that the instructions further cause operations that identify a measured pain level and a predicted pain level of the human subject using the data related to the state of pain; wherein the operations that identify the pain treatment parameters using the dynamical model evaluate at least the measured pain level and the predicted pain level. at least one processor; and at least one memory device storing instructions, which when executed by the processor, cause the at least one processor to perform operations that: obtain data related to a state of pain of the human subject; identify pain treatment parameters using a dynamical model, the dynamical model adapted to evaluate the pain treatment parameters in the human subject over a time period, based on the data related to the state of pain, wherein the dynamical model is implemented in continuous time or discrete time, and wherein the dynamical model identifies first or second order dynamics to evaluate the pain treatment parameters, and wherein the dynamical model uses model parameters that are customized to the human subject to identify a new set of pain treatment parameters that provide an improvement in an observed pain condition relative to an existing set of pain treatment parameters; and select a neurostimulation program for the implantable electrical neurostimulation device, the neurostimulation program corresponding to at least a portion of the pain treatment parameters identified using the dynamical model, characterized in that the instructions further cause operations that identify a measured pain level and a predicted pain level of the human subject using the data related to the state of pain; obtain data related to a state of pain of the human subject; identify pain treatment parameters using a dynamical model, the dynamical model adapted to evaluate the pain treatment parameters in the human subject over a time period, based on the data related to the state of pain, wherein the dynamical model is implemented in continuous time or discrete time, and wherein the dynamical model identifies first or second order dynamics to evaluate the pain treatment parameters, and wherein the dynamical model uses model parameters that are customized to the human subject to identify a new set of pain treatment parameters that provide an improvement in an observed pain condition relative to an existing set of pain treatment parameters; and select a neurostimulation program for the implantable electrical neurostimulation device, the neurostimulation program corresponding to at least a portion of the pain treatment parameters identified using the dynamical model, characterized in that the instructions further cause operations that identify a measured pain level and a predicted pain level of the human subject using the data related to the state of pain; wherein the operations that identify the pain treatment parameters using the dynamical model evaluate at least the measured pain level and the predicted pain level.