Computer System and Method for Generating Trigger Alerts to Maximize Interactions With Healthcare Providers

Abstract

A pharmaceutical company may employ a computer system that is configured to analyze anonymized patient data for patients treated by each of a plurality of healthcare providers (HCPs) to determine whether each such HCP is likely to make a given type of treatment decision for at least one patient in the foreseeable future. Based on the analysis, the computer system may predict that a given HCP is likely to make the given type of treatment decision for at least one patient at a given predicted time in the future and then responsively generate a trigger alert suggesting that the given HCP be visited prior to the given predicted time to deliver a message related to the given type of treatment decision. In turn, the computer system may cause the trigger alert to be sent to a target of the trigger alert, such as a representative of the pharmaceutical company.

1 . A computer system comprising:
 at least one processor;   a tangible, non-transitory computer-readable medium; and   program instructions stored on the tangible, non-transitory computer-readable medium that are executable by the at least one processor to cause the computer system to:
 receive, from a data source, anonymized patient data for patients treated by each of a plurality of healthcare providers (HCPs); 
 analyze the anonymized patient data for patients treated by each HCP of the plurality of HCPs by inputting the anonymized patient data for each respective patient treated by the respective HCP into a machine learning model that is configured to predict a next time in the future at which a given type of treatment decision is likely to be made for the respective patient, wherein the given type of treatment decision is likely to involve a prescription of a given type of pharmaceutical product; 
 based on the analysis, predict at least one particular time in the future at which a given HCP of the plurality of HCPs is likely to make the given type of treatment decision for at least one patient; 
 in response to predicting the particular time in the future at which the given HCP is likely to make the given type of treatment decision for at least one patient, automatically generate a trigger alert suggesting that the given HCP be visited prior to the particular time in the future to deliver a message related to the given type of treatment decision; and 
 cause the trigger alert to be sent to a client device associated with a target of the trigger alert in advance of the particular time in the future. 
   
     
     
         2 . The computer system of  claim 1 , wherein the anonymized patient data comprises anonymized identifying information and medical history information for each patient. 
     
     
         3 . The computer system of  claim 2 , wherein the medical history information for each patient comprises information about one or more of drug treatment events, surgery events, radiation events, medical test events, diagnosis events, patient visit events, or side effect events. 
     
     
         4 . The computer system of  claim 1 , wherein the given type of treatment decision comprises a decision to transition a patient from one stage of treatment to another stage of treatment. 
     
     
         5 . The computer system of  claim 1 , wherein the trigger alert indicates a time for the suggested visit with the given HCP. 
     
     
         6 . The computer system of  claim 1 , wherein the trigger alert comprises patient data for the least one patient of the given HCP. 
     
     
         7 . The computer system of  claim 1 , wherein the trigger alert comprises a recommended message to be delivered by the target during the suggested visit with the given HCP. 
     
     
         8 . The computer system of  claim 1 , wherein the target comprises a representative of a given pharmaceutical company that offers a pharmaceutical product of the given type of pharmaceutical product. 
     
     
         9 . The computer system of  claim 1 , wherein the program instructions that are executable by the at least one processor to cause the computer system to cause the trigger alert to be sent to the client device associated with the target of the trigger alert in advance of the particular time in the future comprise program instructions stored on the tangible, non-transitory computer-readable medium that are executable by the at least one processor to cause the computer system to cause the trigger alert to be sent to the client device associated with the target of the trigger alert at a time that is determined based on the particular time in the future. 
     
     
         10 . The computer system of  claim 1 , wherein the program instructions that are executable by the at least one processor to cause the computer system to provide a visualization of the anonymized patient data for a given patient that comprises a timeline of events occurring during the medical history of the given patient. 
     
     
         11 . The computer system of  claim 1 , wherein the trigger alert results in the target visiting the given HCP prior to the particular time in the future. 
     
     
         12 . A computer-implemented method comprising:
 receiving, at a computer system from a data source, anonymized patient data for patients treated by each of a plurality of healthcare providers (HCPs);   analyzing the anonymized patient data for patients treated by each HCP of the plurality of HCPs by inputting the anonymized patient data for each respective patient treated by the respective HCP into a machine learning model that is configured to predict a next time in the future at which a given type of treatment decision is likely to be made for the respective patient, wherein the given type of treatment decision is likely to involve a prescription of a given type of pharmaceutical product;   based on the analysis, predicting at least one particular time in the future at which a given HCP of the plurality of HCPs is likely to make the given type of treatment decision for at least one patient;   in response to predicting the particular time in the future at which the given HCP is likely to make the given type of treatment decision for at least one patient, automatically generating a trigger alert suggesting that the given HCP be visited prior to the particular time in the future to deliver a message related to the given type of treatment decision; and   causing the trigger alert to be sent to a client device associated with a target of the trigger alert in advance of the particular time in the future.   
     
     
         13 . The computer-implemented method of  claim 12 , wherein the anonymized patient data comprises anonymized identifying information and medical history information for each patient, and wherein the medical history information for each patient comprises information about one or more of drug treatment events, surgery events, radiation events, medical test events, diagnosis events, patient visit events, or side effect events. 
     
     
         14 . The computer-implemented method of  claim 12 , wherein the given type of treatment decision comprises a decision to transition a patient from one stage of treatment to another stage of treatment. 
     
     
         15 . The computer-implemented method of  claim 12 , wherein the trigger alert comprises one or more of an indication of a time for the suggested visit with the given HCP, patient data for the least one patient of the given HCP, or a recommended message to be delivered by the target during the suggested visit with the given HCP. 
     
     
         16 . The computer-implemented method of  claim 12 , wherein causing the trigger alert to be sent to the client device associated with the target of the trigger alert in advance of the particular time in the future comprises causing the trigger alert to be sent to the client device associated with the target of the trigger alert at a time that is determined based on the particular time in the future. 
     
     
         17 . The computer-implemented method of  claim 12 , wherein the trigger alert results in the target visiting the given HCP prior to the particular time in the future. 
     
     
         18 . A non-transitory computer-readable medium having program instructions stored thereon that are executable to cause a computer system to:
 receive, from a data source, anonymized patient data for patients treated by each of a plurality of healthcare providers (HCPs);   analyze the anonymized patient data for patients treated by each HCP of the plurality of HCPs by inputting the anonymized patient data for each respective patient treated by the respective HCP into a machine learning model that is configured to predict a next time in the future at which a given type of treatment decision is likely to be made for the respective patient, wherein the given type of treatment decision is likely to involve a prescription of a given type of pharmaceutical product;   based on the analysis, predict at least one particular time in the future at which a given HCP of the plurality of HCPs is likely to make the given type of treatment decision for at least one patient at a given predicted time in the future;   in response to predicting the particular time in the future at which the given HCP is likely to make the given type of treatment decision for at least one patient, automatically generate a trigger alert suggesting that the given HCP be visited prior to the particular time in the future to deliver a message related to the given type of treatment decision; and   cause the trigger alert to be sent to a client device associated with a target of the trigger alert in advance of the particular time in the future.   
     
     
         19 . The non-transitory computer-readable medium of  claim 18 , wherein the trigger alert comprises one or more of an indication of a time for the suggested visit with the given HCP, patient data for the least one patient of the given HCP, or a recommended message to be delivered by the target during the suggested visit with the given HCP. 
     
     
         20 . The non-transitory computer-readable medium of  claim 18 , wherein the program instructions that are executable by the at least one processor to cause the computer system to cause the trigger alert to be sent to the client device associated with the target of the trigger alert in advance of the particular time in the future comprise program instructions stored on the tangible, non-transitory computer-readable medium that are executable by the at least one processor to cause the computer system to cause the trigger alert to be sent to the client device associated with the target of the trigger alert at a time that is determined based on the particular time in the future.