Abstract: Embodiments of a method and system for facilitating improvement of a user condition through tailored communication with a user can include receiving a log of use dataset associated with a digital communication behavior at a mobile device, the log of use dataset further associated with a time period; receiving a mobility supplementary dataset corresponding to a mobility-related sensor of the mobile device, the mobility supplementary dataset associated with the time period; determining a tailored communication plan for the user based on at least one of the log of use dataset and the mobility supplementary dataset; transmitting, based on the tailored communication plan, a communication to the user at the mobile device; and promoting a therapeutic intervention to the user in association with transmitting the communication.

Abstract: A method and system for modeling behavior and depression state of an individual, the method comprising: receiving a log of use dataset associated with communication behavior of the individual during a time period; receiving a supplementary dataset characterizing activity of the individual during the time period; receiving a survey dataset including responses, to at least one of a set of depression-assessment surveys, associated with a set of time points of the time period; generating a predictive analysis of a depression-risk state of the individual associated with at least a portion of the time period, from at least one of the log of use dataset, the supplementary dataset, and the survey dataset; and generating an alert upon detection that a set of parameters from the predictive analysis of the depression-risk state satisfy a threshold condition.

Abstract: A method and system for providing therapy to an individual, the method comprising: transmitting a log of use dataset associated with communication behavior of the individual during a time period; receiving a supplementary dataset characterizing mobility of the individual in association with the time period; generating a survey dataset upon retrieving responses provided by the individual to at least one of a set of surveys, associated with a set of time points of the time period; generating a predictive model from a passive dataset derived from the log of use dataset and the supplementary dataset and the survey dataset; generating a report summarizing a mental health state of the individual, associated with at least a portion of the time period, from the passive dataset, the survey dataset, and an output of the predictive model; and rendering information from the report to a coach associated with the individual.

Abstract: Embodiments of a method and system for improving sleep characterization and/or a sleeping-related disorder for a user associated with a sleep session can include receiving a log of use dataset corresponding to user digital communication behavior at a mobile device, the log of use dataset associated with the sleep session; receiving a supplementary dataset characterizing activity of the user and/or mobile device, the supplementary dataset associated with the sleep session; characterizing a sleep-related parameter for the user based on at least one of the log of use dataset and the supplementary dataset; determining a sleep care plan for the user based on the sleep-related parameter, the sleep care plan including a therapeutic intervention; and promoting a therapeutic intervention to the user according to the sleep care plan.

Abstract: Embodiments of a method and system for improving care determination for care providers in relation to a condition of a user associated with a mobile device can include: collecting a log of use dataset associated with user digital communication behavior at the mobile device; collecting a mobility supplementary dataset corresponding to a mobility-related sensor of the mobile device; determining a medical status analysis for a condition of the user based on at least one of the log of use dataset and the mobility supplementary dataset, the medical status analysis including at least one of a diagnosis and a therapeutic intervention associated with the condition; and promoting the at least one of the diagnosis and the therapeutic intervention to a care provider.

Abstract: Embodiments of a method and system for improving care determination for care providers in relation to a condition of a user associated with a mobile device can include: collecting a log of use dataset associated with user digital communication behavior at the mobile device; collecting a mobility supplementary dataset corresponding to a mobility-related sensor of the mobile device; determining a medical status analysis for a condition of the user based on at least one of the log of use dataset and the mobility supplementary dataset, the medical status analysis including at least one of a diagnosis and a therapeutic intervention associated with the condition; and promoting the at least one of the diagnosis and the therapeutic intervention to a care provider.

Abstract: A method and system for modeling behavior and depression state of an individual, the method comprising: receiving a log of use dataset associated with communication behavior of the individual during a time period; receiving a supplementary dataset characterizing activity of the individual during the time period; receiving a survey dataset including responses, to at least one of a set of depression-assessment surveys, associated with a set of time points of the time period; generating a predictive analysis of a depression-risk state of the individual associated with at least a portion of the time period, from at least one of the log of use dataset, the supplementary dataset, and the survey dataset; and generating an alert upon detection that a set of parameters from the predictive analysis of the depression-risk state satisfy a threshold condition.

Abstract: A method and system for digitally providing healthcare to a patient, the method including receiving a log of use dataset associated with patient digital communication behavior at a mobile computing device, wherein the first log of use dataset corresponds to a time period; receiving a supplementary dataset corresponding to the time period; receiving a survey response dataset from the patient, the survey response dataset corresponding to the time period; receiving a care provider dataset in association with the time period; selecting a therapeutic intervention from a set of therapeutic interventions, based on processing with at least one of the first log of use dataset, the supplementary dataset, the survey response dataset, and the care provider dataset; generating a dynamic care plan modifiable over a time period; promoting the therapeutic intervention according to the dynamic care plan.

Abstract: A method and system for modeling behavior and a psychotic disorder-related state of a patient, the method comprising: receiving a log of use dataset associated with communication behavior of the patient during a time period; receiving a supplementary dataset characterizing mobility-behavior of the patient during the time period; generating a predictive model based upon a passive dataset derived from the log of use dataset and the supplementary dataset; transforming at least one of the passive dataset and an output of the predictive model into an analysis of a psychotic episode-risk state of the individual associated with at least a portion of the time period; and upon detection that parameters of the psychotic episode-risk state satisfy at least one threshold condition, automatically initiating provision of a therapeutic intervention for the individual by way of at least one of the computing system and the mobile communication device.

Abstract: A method and system for modeling behavior and depression state of an individual, the method comprising: receiving a log of use dataset associated with communication behavior of the individual during a time period; receiving a supplementary dataset characterizing activity of the individual during the time period; receiving a survey dataset including responses, to at least one of a set of depression-assessment surveys, associated with a set of time points of the time period; generating a predictive analysis of a depression-risk state of the individual associated with at least a portion of the time period, from at least one of the log of use dataset, the supplementary dataset, and the survey dataset; and generating an alert upon detection that a set of parameters from the predictive analysis of the depression-risk state satisfy a threshold condition.

Abstract: A method and system for providing patient indications to an entity, the method comprising: for each of a set of patients: by way of an application executing at a mobile computing device, accessing a sensor system and a log of use of a communication application executing on the mobile computing device; receiving a survey response dataset; generating a behavioral dataset, derived from the sensor system and the log of use; generating a predictive model derived from at least one of the survey response dataset and the behavioral dataset; generating comparisons of outputs of blocks of the method to threshold conditions; producing a set of indications corresponding to the set of patients, derived from generation of, for each of the set of patients, an indication in response to the comparisons; and transmitting a portion of the set of indications to the entity according to a resource constraint of the entity.

Abstract: Embodiments of a method and system for facilitating improvement of a user condition through tailored communication with a user can include receiving a log of use dataset associated with a digital communication behavior at a mobile device, the log of use dataset further associated with a time period; receiving a mobility supplementary dataset corresponding to a mobility-related sensor of the mobile device, the mobility supplementary dataset associated with the time period; determining a tailored communication plan for the user based on at least one of the log of use dataset and the mobility supplementary dataset; transmitting, based on the tailored communication plan, a communication to the user at the mobile device; and promoting a therapeutic intervention to the user in association with transmitting the communication.

Abstract: Embodiments of a method and system for improving sleep characterization and/or a sleeping-related disorder for a user associated with a sleep session can include receiving a log of use dataset corresponding to user digital communication behavior at a mobile device, the log of use dataset associated with the sleep session; receiving a supplementary dataset characterizing activity of the user and/or mobile device, the supplementary dataset associated with the sleep session; characterizing a sleep-related parameter for the user based on at least one of the log of use dataset and the supplementary dataset; determining a sleep care plan for the user based on the sleep-related parameter, the sleep care plan including a therapeutic intervention; and promoting a therapeutic intervention to the user according to the sleep care plan.

Abstract: A method and system for providing patient indications to an entity, the method comprising: for each of a set of patients: by way of an application executing at a mobile computing device, accessing a sensor system and a log of use of a communication application executing on the mobile computing device; receiving a survey response dataset; generating a behavioral dataset, derived from the sensor system and the log of use; generating a predictive model derived from at least one of the survey response dataset and the behavioral dataset; generating comparisons of outputs of blocks of the method to threshold conditions; producing a set of indications corresponding to the set of patients, derived from generation of, for each of the set of patients, an indication in response to the comparisons; and transmitting a portion of the set of indications to the entity according to a resource constraint of the entity.

Abstract: Embodiments of a method and system for facilitating improvement of a user condition through tailored communication with a user can include receiving a log of use dataset associated with a digital communication behavior at a mobile device, the log of use dataset further associated with a time period; receiving a mobility supplementary dataset corresponding to a mobility-related sensor of the mobile device, the mobility supplementary dataset associated with the time period; determining a tailored communication plan for the user based on at least one of the log of use dataset and the mobility supplementary dataset; transmitting, based on the tailored communication plan, a communication to the user at the mobile device; and promoting a therapeutic intervention to the user in association with transmitting the communication.

Abstract: Embodiments of a method and system for improving sleep characterization and/or a sleeping-related disorder for a user associated with a sleep session can include receiving a log of use dataset corresponding to user digital communication behavior at a mobile device, the log of use dataset associated with the sleep session; receiving a supplementary dataset characterizing activity of the user and/or mobile device, the supplementary dataset associated with the sleep session; characterizing a sleep-related parameter for the user based on at least one of the log of use dataset and the supplementary dataset; determining a sleep care plan for the user based on the sleep-related parameter, the sleep care plan including a therapeutic intervention; and promoting a therapeutic intervention to the user according to the sleep care plan.

Abstract: A method and system for providing therapy to an individual, the method comprising: transmitting a log of use dataset associated with communication behavior of the individual during a time period; receiving a supplementary dataset characterizing mobility of the individual in association with the time period; generating a survey dataset upon retrieving responses provided by the individual to at least one of a set of surveys, associated with a set of time points of the time period; generating a predictive model from a passive dataset derived from the log of use dataset and the supplementary dataset and the survey dataset; generating a report summarizing a mental health state of the individual, associated with at least a portion of the time period, from the passive dataset, the survey dataset, and an output of the predictive model; and rendering information from the report to a coach associated with the individual.

Abstract: Embodiments of a method and system for improving care determination for care providers in relation to a condition of a user associated with a mobile device can include: collecting a log of use dataset associated with user digital communication behavior at the mobile device; collecting a mobility supplementary dataset corresponding to a mobility-related sensor of the mobile device; determining a medical status analysis for a condition of the user based on at least one of the log of use dataset and the mobility supplementary dataset, the medical status analysis including at least one of a diagnosis and a therapeutic intervention associated with the condition; and promoting the at least one of the diagnosis and the therapeutic intervention to a care provider.

Abstract: Embodiments of a method and system for improving care determination for care providers in relation to a condition of a user associated with a mobile device can include: collecting a log of use dataset associated with user digital communication behavior at the mobile device; collecting a mobility supplementary dataset corresponding to a mobility-related sensor of the mobile device; determining a medical status analysis for a condition of the user based on at least one of the log of use dataset and the mobility supplementary dataset, the medical status analysis including at least one of a diagnosis and a therapeutic intervention associated with the condition; and promoting the at least one of the diagnosis and the therapeutic intervention to a care provider.

Abstract: A method and system for providing therapy to an individual, the method comprising: transmitting a log of use dataset associated with communication behavior of the individual during a time period; receiving a supplementary dataset characterizing mobility of the individual in association with the time period; generating a survey dataset upon retrieving responses provided by the individual to at least one of a set of surveys, associated with a set of time points of the time period; generating a predictive model from a passive dataset derived from the log of use dataset and the supplementary dataset and the survey dataset; generating a report summarizing a mental health state of the individual, associated with at least a portion of the time period, from the passive dataset, the survey dataset, and an output of the predictive model; and rendering information from the report to a coach associated with the individual.