Automated dynamic content scheduler

Abstract

According to some embodiments, a selection server is in communication with a potential communication device database and a currently participating device database, the potential communication device database storing information about communication devices associated with a transition from a first state to a second state, including at least one communication address associated with each communication device. The selection server may automatically identify a communication device as meeting a pre-determined criteria and copy information about the identified communication device from the potential communication device database to the currently participating device database. A scheduling server may automatically schedule a series of communication events between a monitoring device and the identified communication device and arrange for a communication link to be established for each of the scheduled series of communication events until a transition from the second state back to the first state is detected for the identified communication device.

What is claimed is: 
     
         1 . A computer-implemented method, comprising:
 automatically generating, by a predictive model component, a selection algorithm to indicate that a worker associated with a communication address has been in a second state for at least a threshold period of time and that the worker associated with the communication address exhibits at least one behavioral characteristic;   accessing, by a selection server, information in a potential communication device database, the potential communication device database storing information about a plurality of communication addresses associated with workers, of an employer, who transition from a first state to the second state as a result of a work-related physical injury;   automatically identifying, by the selection server, a communication address, associated with an identified worker, as meeting the selection algorithm generated by the predictive model component;   copying, by the selection server, information about the identified communication address from the potential communication device database to a currently participating device database;   measuring, by an activity tracking device, movement data and sleep quality of the identified worker;   transmitting the movement data and sleep quality from the activity tracking device to the identified communication address to facilitate a detection by a software application that the identified worker has transitioned from the second state back to the first state;   automatically scheduling, by a scheduling server of an insurer providing workers' compensation benefits for the employer, a series of communication events between a monitoring device and the identified communication address;   arranging, by the scheduling server, for a communication link to be established in accordance with each of the scheduled series of communication events until the transition from the second state back to the first state is detected for the identified worker; and   transmitting information about the identified communication address, the automatically scheduled series of communication events, the movement data and sleep quality measured by the activity tracking device, the work-related physical injury, at least one workers' compensation insurance claim, and the transition from the from the second state back to the first state to the predictive model component to improve the selection algorithm.   
     
     
         2 . The method of  claim 1 , wherein the identified communication address is associated with at least one of: a telephone, a personal computer, a smartphone, a smartwatch, a tablet computer, and a chat interface. 
     
     
         3 . The method of  claim 2 , further comprising:
 automatically arranging for a physical item to be delivered to a postal address in connection with at least some of the scheduled series of communication events.   
     
     
         4 . The method of  claim 3 , wherein the scheduling server automatically arranges for a physical workbook to be delivered in connection with a first of the scheduled series of communication events. 
     
     
         5 . The method of  claim 3 , wherein the physical item is associated with at least one of: an activity tracking device, a water bottle, a wrist band, a stress ball, a sleeping mask, a cap or visor, training media, and a certificate of completion. 
     
     
         6 . The method of  claim 2 , wherein the identified communication address is associated with an ill or injured worker, the first state is associated with an “at work” or “fully functional” status, and the second state is associated with a “not at work” or “non-fully functional” status. 
     
     
         7 . The method of  claim 6 , wherein at least one intermediate state exists between the “at work” or “fully functional” and “not at work” or “non-fully functional” states, including a “modified work duty” or “partially functional” state. 
     
     
         8 . The method of  claim 6 , wherein the monitoring device is associated with a recovery coach to encourage at least one of: physical activity, social activity, and cognitive activity. 
     
     
         9 . A non-transitory, computer-readable medium storing instructions, that, when executed by a computer processor, cause the computer processor to perform a method comprising:
 automatically generating, by a predictive model component, a selection algorithm to indicate that a worker associated with a communication address has been in a second state for at least a threshold period of time and that the worker associated with the communication address exhibits at least one behavioral characteristic;   accessing, by a selection server, information in a potential communication device database, the potential communication device database storing information about a plurality of communication addresses associated with workers, of an employer, who transition from a first state to the second state as a result of a work-related physical injury;   automatically identifying, by the selection server, a communication address, associated with an identified worker, as meeting the selection algorithm generated by the predictive model component;   copying, by the selection server, information about the identified communication address from the potential communication device database to a currently participating device database;   measuring, by an activity tracking device, movement data and sleep quality of the identified worker;   transmitting the movement data and sleep quality from the activity tracking device to the identified communication address to facilitate a detection by a software application that the identified worker has transitioned from the second state back to the first state;   automatically scheduling, by a scheduling server of an insurer providing workers' compensation benefits for the employer, a series of communication events between a monitoring device and the identified communication address;   arranging, by the scheduling server, for a communication link to be established in accordance with each of the scheduled series of communication events until the transition from the second state back to the first state is detected for the identified worker; and   transmitting information about the identified communication address, the automatically scheduled series of communication events, the movement data and sleep quality measured by the activity tracking device, the work-related physical injury, at least one workers' compensation insurance claim, and the transition from the from the second state back to the first state to the predictive model component to improve the selection algorithm.   
     
     
         10 . The medium of  claim 9 , wherein the identified communication address is associated with an ill or injured worker, the first state is associated with an “at work” or “fully functional” status, and the second state is associated with a “not at work” or “non-fully functional” status. 
     
     
         11 . The medium of  claim 10 , wherein at least one intermediate state exists between the “at work” or “fully functional” and “not at work” or “non-fully functional” states, including a “modified work duty” or “partially functional” state. 
     
     
         12 . The medium of  claim 10 , wherein the monitoring device is associated with a recovery coach to encourage at least one of: physical activity, social activity, and cognitive activity. 
     
     
         13 . The medium of  claim 10 , wherein the software application executing at the identified communication device is associated with at least one of: workbook materials, training media, activity tracking features, and goal tracking functionality. 
     
     
         14 . The medium of  claim 13 , wherein information measured by the activity tracking device and information about an ill or injured worker's activity are accessible by the ill or injured worker and the recovery coach via a web portal. 
     
     
         15 . The medium of  claim 10 , wherein the selection algorithm is further based on at least one of: a geographic location, a type of injury, whether an ill or injured worker's attorney approval is required, a language spoken, and a risk score. 
     
     
         16 . The medium of  claim 15 , wherein the at least one behavioral characteristic includes information associated with at least one of: an expectation, a belief, catastrophic thinking, fear, perceived injustice, passivity, a lack of coping skills, unfairness, anger, sleep issues, and stress. 
     
     
         17 . A system, comprising:
 (a) a potential communication device database storing information about a plurality of communication addresses associated with workers, of an employer, who transition from a first state to a second state as a result of a work-related physical injury;   (b) a currently participating device database;   (c) a predictive model component to automatically generate a selection algorithm indicating that the communication address is associated with a worker who has been in the second state for at least a threshold period of time and that the worker associated with the communication address exhibits at least one behavioral characteristic;   (d) a selection server, in communication with the potential communication device database and the currently participating device database, programmed to:
 (i) access information in the potential communication database, 
 (ii) automatically identify a communication address, associated with an identified worker, as meeting the selection algorithm generated by the predictive model component, and 
 (iii) copy information about the identified communication address from the potential communication device database to the currently participating device database; 
   (e) an activity tracking device to measure movement data and sleep quality of the identified worker and transmit the movement data and sleep quality to the identified communication address to facilitate a detection by a software application that the identified worker has transitioned from the second state back to the first state; and   (f) a scheduling server of an insurer providing workers' compensation benefits for the employer and coupled to the currently participating device database, programmed to:
 (iv) automatically schedule a series of communication events between a monitoring device and the identified communication address, and 
 (v) arrange for a communication link to be established in accordance with each of the scheduled series of communication events until the transition from the second state back to the first state is detected for the identified worker; 
   wherein information about the identified communication address, the automatically scheduled series of communication events, the movement data and sleep quality measured by the activity tracking device, the work-related physical injury, at least one workers' compensation insurance claim, and the transition from the from the second state back to the first state are all transmitted to the predictive model component to improve the selection algorithm.   
     
     
         18 . The system of  claim 17 , wherein the identified communication address is associated with at least one of: a telephone, a personal computer, a smartphone, a smartwatch, a tablet computer, and a chat interface. 
     
     
         19 . The system of  claim 18 , wherein the scheduling server is further programmed to:
 (vi) automatically arrange for a physical item to be delivered to a postal address associated with the communication device in connection with at least some of the scheduled series of communication events.   
     
     
         20 . The system of  claim 19 , wherein the scheduling server automatically arranges for a physical workbook to be delivered in connection with a first of the scheduled series of communication events. 
     
     
         21 . The system of  claim 19 , wherein at least one physical item is associated with at least one of: an activity tracking device, a water bottle, a wrist band, a stress ball, a sleeping mask, a cap or visor, training media, and a certificate of completion. 
     
     
         22 . The system of  claim 18 , wherein the identified communication device is associated with an ill or injured worker, the first state is associated with an “at work” or “fully functional” status, and the second state is associated with a “not at work” or “non-fully functional” status. 
     
     
         23 . The system of  claim 22 , wherein at least one intermediate state exists between the “at work” or “fully functional” and “not at work” or “non-fully functional” states, including a “modified work duty” or “partially functional” state.