US2021005311A1PendingUtilityA1

Normalizing data sets for predicting an attribute of the data sets

Assignee: PRA HEALTH SCIENCES INCPriority: Jul 2, 2015Filed: Jul 14, 2020Published: Jan 7, 2021
Est. expiryJul 2, 2035(~8.9 yrs left)· nominal 20-yr term from priority
G16H 10/20G16H 40/20G06F 16/2462G06F 16/248
48
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Claims

Abstract

Systems and methods are provided for improving communication by various computing systems in a network. Each computing system can be used to receive and process data. The data can be associated with a process represented by a chain of tasks. The computing systems can determine various parameters associated with the chain of tasks for determining a risk associated with the chain of tasks. The computing system can also determine a risk associated with multiple chains of tasks and aggregate the risks associated with the multiple chains of tasks. Determining the risk associated with each chain of tasks in the multiple chains of tasks can normalize a risk represented by the chains of tasks. Determining the risk associated with each chain of tasks or normalizing the risks represented by the chains can improve communication by the various computing systems in the network.

Claims

exact text as granted — not AI-modified
1 - 20 . (canceled) 
     
     
         21 . A system comprising:
 a processing device; and   a non-transitory computer-readable medium including instructions that are executable by the processing device for causing the processing device to:
 generate a chain of tasks to be completed for implementing a clinical trial by a critical date; 
 determine a buffer index for the chain of tasks, the buffer index being a numerical value indicating a likelihood of completing the chain of tasks by the critical date; 
 determine a desired buffer index for the chain of tasks, the desired buffer index being a numerical value that is different from the buffer index and indicating a desired likelihood of completing the chain of tasks; 
 determine a new date for completing the chain of tasks that is likely to achieve the desired buffer index, the new date being different from the critical date; and 
 generate a graphical user interface for display that indicates the new date. 
   
     
     
         22 . The system of  claim 21 , wherein the desired buffer index is predefined prior to determining the buffer index. 
     
     
         23 . The system of  claim 21 , wherein the non-transitory computer-readable medium further including instructions that are executable by the processing device for causing the processing device to determine the buffer index based on (i) a buffer percentage indicating how close a buffer period in the chain of tasks is to being completed, and (ii) a chain percentage indicating how close the chain of tasks is to being completed, wherein the buffer period is different from the buffer index and represents an amount of time after a final task in the chain of tasks. 
     
     
         24 . The system of  claim 21 , wherein the non-transitory computer-readable medium further including instructions that are executable by the processing device for causing the processing device to determine the new date based on (i) the critical date, (ii) the desired buffer index, and (iii) a buffer period associated with the chain of tasks, wherein the buffer period is different from the buffer index and represents an amount of time after a final task in the chain of tasks. 
     
     
         25 . The system of  claim 21 , wherein the non-transitory computer-readable medium further including instructions that are executable by the processing device for causing the processing device to:
 generate a plurality of chains of tasks associated with the clinical trial, the plurality of chains of tasks being configured to be implemented concurrently to one another;   for each chain of tasks in the plurality of chains of tasks, determine a respective likelihood of completing the chain of tasks by a common target date selected by a user; and   configure the graphical user interface to indicate the respective likelihood of completing each chain of tasks in the plurality of chains of tasks by the common target date.   
     
     
         26 . The system of  claim 21 , wherein the non-transitory computer-readable medium further including instructions that are executable by the processing device for causing the processing device to update the buffer index associated with the chain of tasks based on each task in the chain of tasks being performed or completed. 
     
     
         27 . The system of  claim 21 , wherein the non-transitory computer-readable medium further including instructions that are executable by the processing device for causing the processing device to adjust an amount of one or more computing resources that are allocated for subsequent use by the processing device based on the buffer index. 
     
     
         28 . A method comprising:
 generating, by a processing device, a chain of tasks to be completed for implementing a clinical trial by a critical date;   determining, by the processing device, a buffer index for the chain of tasks, the buffer index being a numerical value indicating a likelihood of completing the chain of tasks by the critical date;   determining, by the processing device, a desired buffer index for the chain of tasks, the desired buffer index being a numerical value that is different from the buffer index and indicating a desired likelihood of completing the chain of tasks;   determining, by the processing device, a new date for completing the chain of tasks that is likely to achieve the desired buffer index, the new date being different from the critical date; and   generating, by the processing device, a graphical user interface for display that indicates the new date.   
     
     
         29 . The method of  claim 28 , wherein the desired buffer index is predefined prior to determining the buffer index. 
     
     
         30 . The method of  claim 28 , further comprising determining the buffer index based on (i) a buffer percentage indicating how close a buffer period in the chain of tasks is to being completed, and (ii) a chain percentage indicating how close the chain of tasks is to being completed, wherein the buffer period is different from the buffer index and represents an amount of time after a final task in the chain of tasks. 
     
     
         31 . The method of  claim 28 , further comprising determining the new date based on (i) the critical date, (ii) the desired buffer index, and (iii) a buffer period associated with the chain of tasks, wherein the buffer period is different from the buffer index and represents an amount of time after a final task in the chain of tasks. 
     
     
         32 . The method of  claim 28 , further comprising:
 generating a plurality of chains of tasks associated with the clinical trial, the plurality of chains of tasks being configured to be implemented concurrently to one another;   determining a subset of task chains from among the plurality of chains of tasks;   for each chain of task chain in the subset, determining a respective likelihood of completing the task chain by a common target date selected by a user; and   configure the graphical user interface to indicate an overall likelihood of completing the subset of task chains by the common target date.   
     
     
         33 . The method of  claim 28 , further comprising updating the buffer index associated with the chain of tasks based on each task in the chain of tasks being performed or completed. 
     
     
         34 . The method of  claim 28 , further comprising adjusting an amount of one or more computing resources that are allocated for subsequent use by the processing device based on the buffer index. 
     
     
         35 . A non-transitory computer-readable medium including instructions that are executable by a processing device for causing the processing device to:
 generate a chain of tasks to be completed for implementing a clinical trial by a critical date;   determine a buffer index for the chain of tasks, the buffer index being a numerical value indicating a likelihood of completing the chain of tasks by the critical date;   determine a desired buffer index for the chain of tasks, the desired buffer index being a numerical value that is different from the buffer index and indicating a desired likelihood of completing the chain of tasks;   determine a new date for completing the chain of tasks that is likely to achieve the desired buffer index, the new date being different from the critical date; and   generate a graphical user interface for display that indicates the new date.   
     
     
         36 . The non-transitory computer-readable medium of  claim 35 , further including instructions that are executable by the processing device for causing the processing device to determine the buffer index based on (i) a buffer percentage indicating how close a buffer period in the chain of tasks is to being completed, and (ii) a chain percentage indicating how close the chain of tasks is to being completed, wherein the buffer period is different from the buffer index and represents an amount of time after a final task in the chain of tasks. 
     
     
         37 . The non-transitory computer-readable medium of  claim 35 , further including instructions that are executable by the processing device for causing the processing device to determine the new date based on (i) the critical date, (ii) the desired buffer index, and (iii) a buffer period associated with the chain of tasks, wherein the buffer period is different from the buffer index and represents an amount of time after a final task in the chain of tasks. 
     
     
         38 . The non-transitory computer-readable medium of  claim 35 , further including instructions that are executable by the processing device for causing the processing device to:
 generate a plurality of chains of tasks associated with the clinical trial;   receive a common target date as input from a user, the common target date being a desired date by which the plurality of chains of tasks is to be completed;   for each chain of tasks in the plurality of chains of tasks, determine a respective likelihood of completing the chain of tasks by the common target date; and   configure the graphical user interface to indicate the respective likelihood of completing each chain of tasks in the plurality of chains of tasks by the common target date.   
     
     
         39 . The non-transitory computer-readable medium of  claim 35 , further including instructions that are executable by the processing device for causing the processing device to:
 generate a plurality of chains of tasks associated with the clinical trial;   receive a user selection of a subset of task chains from among the plurality of chains of tasks;   receive a user input indicating a common target date by which the subset of task chains is to be completed;   for each chain of task chain in the subset, determining a respective likelihood of completing the task chain by the common target date; and   configure the graphical user interface to indicate an overall likelihood of completing the subset of task chains by the common target date.   
     
     
         40 . The non-transitory computer-readable medium of  claim 35 , further including instructions that are executable by the processing device for causing the processing device to adjust an amount of one or more computing resources that are allocated for subsequent use by the processing device based on the buffer index.

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