Volume patient scheduling based on reopening phases

Abstract

Systems and methods may include obtaining data identifying a plurality of cancelled health-related appointments for a plurality of patient records stored in a database, the cancelled health-related appointments related to a shared health event; identifying one or more treatments associated with each cancelled health related appointment; for each cancelled health-related appointment, categorizing the identified one or more treatments into any one of a plurality of risk categories ranging from a lowest risk to a highest risk; receiving data about a current reopening phase of the shared health event, the current reopening phase being one of a plurality of reopening phases ranging from a lowest risk reopening phase to a highest risk reopening phase; determining a score for each patient based on a risk category associated with a patient and the current reopening phase; and rescheduling the patients for return appointments based on a score determined for each of the patients.

What is claimed is: 
     
         1 . A system comprising:
 a database system implemented using a server computing system, the database system configurable to cause:   obtaining, from a database of the database system, data identifying a plurality of cancelled health-related appointments for a plurality of patient records stored in the database, the cancelled health-related appointments being associated with a shared health event;   identifying, by the server computing system, one or more treatments associated with each cancelled health related appointment;   for each cancelled health-related appointment, categorizing, by the server computing system, the identified one or more treatments into any one of a plurality of risk categories ranging from a lowest risk to a highest risk;   receiving, by the server computing system, data about a current reopening phase of the shared health event, the current reopening phase being one of a plurality of reopening phases ranging from a lowest risk reopening phase to a highest risk reopening phase;   determining, by the server computing system, a score for each of the plurality of patients based on a risk category associated with a patient and the current reopening phase; and   rescheduling, by the server computing system, each of the plurality of patients for return appointments based on a score determined for each of the plurality of patients.   
     
     
         2 . The system of  claim 1 , wherein the plurality of patients is grouped into two or more patient batches, and wherein said determining a score for each of the plurality of patients is performed one patient batch at a time. 
     
     
         3 . The system of  claim 2 , wherein said rescheduling each of the plurality of patients for the return appointments is performed one patient batch at a time. 
     
     
         4 . The system of  claim 3 , wherein said rescheduling each of the plurality of patients for the return appointments comprises engaging with each of the plurality of patients to determine a patient's current health situation. 
     
     
         5 . The system of  claim 4 , wherein a collection of current health situation of the plurality of patients in a geographical area is used to predict a next wave of the shared health event. 
     
     
         6 . The system of  claim 4 , wherein the plurality of reopening phases is determined based on one or more of geographical area and population density. 
     
     
         7 . The system of  claim 6 , further comprising obtaining, from the database, data identifying a plurality of available resources required for the one or more treatments associated with each cancelled health related appointment, the data identifying the plurality of available resources used to determine whether to reschedule the plurality of patients for the return appointments. 
     
     
         8 . A computer program product for scheduling a plurality of patients for return appointments canceled because of a shared health event comprising computer-readable program code to be executed by one or more processors when retrieved from a non-transitory computer-readable medium, the program code including instructions to:
 obtain, from a database of the database system, data identifying a plurality of cancelled health-related appointments for a plurality of patient records stored in the database, the cancelled health-related appointments being associated with a shared health event;   identify, by the server computing system, one or more treatments associated with each cancelled health related appointment;   for each cancelled health-related appointment, categorize, by the server computing system, the identified one or more treatments into any one of a plurality of risk categories ranging from a lowest risk to a highest risk;   receive, by the server computing system, data about a current reopening phase of the shared health event, the current reopening phase being one of a plurality of reopening phases ranging from a lowest risk reopening phase to a highest risk reopening phase;   determine, by the server computing system, a score for each of the plurality of patients based on a risk category associated with a patient and the current reopening phase; and   reschedule, by the server computing system, each of the plurality of patients for return appointments based on a score determined for each of the plurality of patients.   
     
     
         9 . The computer program product of  claim 8 , wherein the plurality of patients is grouped into two or more patient batches, and wherein said determining a score for each of the plurality of patients is performed one patient batch at a time. 
     
     
         10 . The computer program product of  claim 9 , wherein said rescheduling each of the plurality of patients for the return appointments is performed one patient batch at a time. 
     
     
         11 . The computer program product of  claim 10 , wherein said rescheduling each of the plurality of patients for the return appointments comprises engaging with each of the plurality of patients to determine a patient's current health situation. 
     
     
         12 . The computer program product of  claim 11 , wherein a collection of current health situation of the plurality of patients in a geographical area is used to predict a next wave of the shared health event. 
     
     
         13 . The computer program product of  claim 11 , wherein the plurality of reopening phases is determined based on one or more of geographical area and population density. 
     
     
         14 . The computer program product of  claim 13 , further comprising obtaining, from the database, data identifying a plurality of available resources required for the one or more treatments associated with each cancelled health related appointment, the data identifying the plurality of available resources used to determine whether to reschedule the plurality of patients for the return appointments. 
     
     
         15 . A computer-implemented method for rescheduling a plurality of patients for return appointments related to a shared health event, the method comprising:
 obtaining, from a database of the database system, data identifying a plurality of cancelled health-related appointments for a plurality of patient records stored in the database, the cancelled health-related appointments being associated with a shared health event;   identifying, by the server computing system, one or more treatments associated with each cancelled health related appointment;   for each cancelled health-related appointment, categorizing, by the server computing system, the identified one or more treatments into any one of a plurality of risk categories ranging from a lowest risk to a highest risk;   receiving, by the server computing system, data about a current reopening phase of the shared health event, the current reopening phase being one of a plurality of reopening phases ranging from a lowest risk reopening phase to a highest risk reopening phase;   determining, by the server computing system, a score for each of the plurality of patients based on a risk category associated with a patient and the current reopening phase; and   rescheduling, by the server computing system, each of the plurality of patients for return appointments based on a score determined for each of the plurality of patients.   
     
     
         16 . The method of  claim 15 , wherein the plurality of patients is grouped into two or more patient batches, and wherein said determining a score for each of the plurality of patients is performed one patient batch at a time. 
     
     
         17 . The method of  claim 16 , wherein said rescheduling each of the plurality of patients for the return appointments is performed one patient batch at a time. 
     
     
         18 . The method of  claim 17 , wherein said rescheduling each of the plurality of patients for the return appointments comprises engaging with each of the plurality of patients to determine a patient's current health situation. 
     
     
         19 . The method of  claim 18 , wherein a collection of current health situation of the plurality of patients in a geographical area is used to predict a next wave of the shared health event. 
     
     
         20 . The method of  claim 18 , wherein the plurality of reopening phases is determined based on one or more of geographical area and population density.