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.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method comprising: receiving, by a processing device, a data set associated with a clinical trial, wherein the data set includes data about a plurality of tasks to be completed for planning or implementing the clinical trial and a predetermined date for completing the plurality of tasks; storing, by the processing device, the data set; generating, by the processing device, a chain of tasks based on the stored data by determining a relationship between tasks in the plurality of tasks and electronically converting the stored data into the chain of tasks based on the relationship; receiving, by the processing device, a first subset of data associated with the chain of tasks, wherein the first subset of data includes data for determining a progress of completing the chain of tasks; determining, by the processing device, a buffer index associated with the chain of tasks based on the first subset of data, the buffer index corresponding to a likelihood of completing the chain of tasks by the predetermined date, wherein the buffer index can be used to determine when the processing device receives or processes an additional data set; and generating, by the processing device, an interface for display that includes data associated with the chain of tasks, the first subset of data, or the buffer index. 2. The method of claim 1, further comprising: generating, by the processing device, a plurality of chains of tasks based at least in part on the stored data; receiving, by the processing device, a first subset of data associated with each of chain of tasks in the plurality of chains of tasks; determining, by the processing device, a buffer index associated with each chain of tasks; comparing, by the processing device, buffer indices associated with each chain of tasks; and determining, by the processing device, a rank of each chain of tasks based at least in part on the buffer index associated with the chain of tasks, wherein the rank of each chain of tasks can be used to determine a likelihood of completing the chain of tasks by the predetermined date. 3. The method of claim 1, wherein the first subset of data includes: a relationship indicator representing the relationship between tasks in the chain of tasks; a challenging time associated with a task in the chain of tasks, the challenging time corresponding to an amount of time for completing the task; an implementation indicator associated with the task in the chain of tasks, the implementation indicator representing an amount of time remaining before completing the task; and a buffer period associated with the chain of tasks, the buffer period representing an amount of time after a final task in the chain of tasks. 4. The method of claim 3, wherein determining the buffer index associated with the chain of tasks based on the first subset of data includes: determining, by the processing device, a chain duration based at least in part on the challenging time, the chain duration representing an amount of time for completing the chain of tasks; determining, by the processing device, an amount of time remaining before completing the chain of tasks based on the amount of time remaining before completing the task and a challenging time associated with another task in the chain of tasks; and determining, by the processing device, a chain percentage by comparing the chain duration and the amount of time remaining before completing the chain of tasks. 5. The method of claim 4, wherein determining the buffer index associated with the chain of tasks based on the first subset of data includes: determining, by the processing device, a remaining buffer period for the chain of tasks based on the implementation indicator and the buffer period by comparing the amount of time remaining before completing the task in the chain of tasks and the buffer period, wherein the remaining buffer period indicates an amount of the buffer period remaining; and determining, by the processing device, a buffer percentage by comparing the buffer period and the remaining buffer period. 6. The method of claim 5, wherein determining the buffer index associated with the chain of tasks based on the first subset of data further includes: determining, by the processing device, the buffer index by comparing the chain percentage and the buffer percentage; determining, by the processing device, whether the buffer index is above or below a risk threshold by comparing the buffer index to the risk threshold; outputting, by the processing device, data corresponding to the buffer index via the interface; and outputting, by the processing device, a risk level indicating the likelihood of completing the chain of tasks by the predetermined date in response to determining that the buffer index is above or below the risk threshold. 7. The method of claim 6, further comprising: receiving, by the processing device, a desired buffer index; and determining a change in the predetermined date for adjusting the buffer index based on: i) the desired buffer index; ii) the predetermined date; and iii) the buffer period for the chain of tasks, wherein adjusting the buffer index includes adjusting the buffer index such that the buffer index corresponds to the desired buffer index; and outputting data for adjusting the buffer index. 8. The method of claim 1, further comprising: receiving, by the processing device, a second subset of data; and determining, by the processing device, an updated buffer index associated with the chain of tasks based on the second subset of data, the updated buffer index corresponding to an updated likelihood of completing the chain of tasks by the predetermined date; and generating, by the processing device, an updated interface for display that includes data associated with the chain of tasks, the second subset of data, or the updated buffer index. 9. A system comprising: a processing device; and a non-transitory computer-readable medium communicatively coupled to the processing device, wherein the processing device is configured to perform operations comprising: receiving a data set associated with a clinical trial, wherein the data set includes data about a plurality of tasks to be completed for planning or implementing the clinical trial and a predetermined date for completing the plurality of tasks; storing the data set; generating a chain of tasks based on the stored data by determining a relationship between tasks in the plurality of tasks and electronically converting the stored data into the chain of tasks based on the relationship; receiving a first subset of data associated with the chain of tasks, wherein the first subset of data includes data for determining a progress of completing the chain of tasks; determining a buffer index associated with the chain of tasks based on the first subset of data, the buffer index corresponding to a likelihood of completing the chain of tasks by the predetermined date, wherein the buffer index can be used to determine when the processing device receives or processes an additional data set; and generating an interface for display that includes data associated with the chain of tasks, the first subset of data, or the buffer index. 10. The system of claim 9, wherein the processing device is further configured to: generate a plurality of chains of tasks based at least in part on the stored data; receive a first subset of data associated with each of chain of tasks in the plurality of chains of tasks; determine a buffer index associated with each chain of tasks in the plurality of chains of tasks; compare buffer indices associated with each chain of tasks in the plurality of chains of tasks; and determine a rank of each chain of tasks based at least in part on the buffer index associated with the chain of tasks, wherein the rank of each chain of tasks can be used to determine a likelihood of completing the chain of tasks by the predetermined date. 11. The system of claim 9, wherein the first subset of data includes: a relationship indicator representing the relationship between tasks in the chain of tasks; a challenging time associated with a task in the chain of tasks, the challenging time corresponding to an amount of time for completing the task; an implementation indicator associated with the task in the chain of tasks, the implementation indicator representing an amount of time remaining before completing the task; and a buffer period associated with the chain of tasks, the buffer period representing an amount of time after a final task in the chain of tasks. 12. The system of claim 11, wherein the processing device is further configured to determine the buffer index associated with the chain of tasks based on the first subset of data by: determining a chain duration based at least in part on the challenging time, the chain duration representing an amount of time for completing the chain of tasks; determining an amount of time remaining before completing the chain of tasks based on the amount of time remaining before completing the task and a challenging time associated with another task in the chain of tasks; and determining a chain percentage by comparing the chain duration and the amount of time remaining before completing the chain of tasks. 13. The system of claim 12, wherein the processing device is further configured to determine the buffer index associated with the chain of tasks based on the first subset of data by: determining a remaining buffer period for the chain of tasks based on the implementation indicator and the buffer period by comparing the amount of time remaining before completing the task in the chain of tasks and the buffer period, wherein the remaining buffer period indicates an amount of the buffer period remaining; and determining a buffer percentage by comparing the buffer period and the remaining buffer period. 14. The system of claim 13, wherein the processing device is further configured to determine the buffer index associated with the chain of tasks based on the first subset of data by: determining the buffer index by comparing the chain percentage and the buffer percentage; determining whether the buffer index is above or below a risk threshold by comparing the buffer index to the risk threshold; outputting data corresponding to the buffer index via the interface; and outputting a risk level indicating the likelihood of completing the chain of tasks by the predetermined date in response to determining that the buffer index is above or below the risk threshold. 15. The system of claim 14, wherein the processing device is further configured to: receive a desired buffer index; and determine a change in the predetermined date for adjusting the buffer index based on: i) the desired buffer index; ii) the predetermined date; and iii) the buffer period for the chain of tasks, wherein adjusting the buffer index includes adjusting the buffer index such that the buffer index corresponds to the desired buffer index; and outputting data for adjusting the buffer index. 16. A non-transitory computer-readable medium storing program code executable by a processor device to cause a computing device to perform operations, the operations comprising: receiving a data set associated with a clinical trial, wherein the data set includes data about a plurality of tasks to be completed for planning or implementing the clinical trial and a predetermined date for completing the plurality of tasks; storing the data set; generating a chain of tasks based on the stored data by determining a relationship between tasks in the plurality of tasks and electronically converting the stored data into the chain of tasks based on the relationship; receiving a first subset of data associated with the chain of tasks, wherein the first subset of data includes data for determining a progress of completing the chain of tasks; determining a buffer index associated with the chain of tasks based on the first subset of data, the buffer index corresponding to a likelihood of completing the chain of tasks by the predetermined date, wherein the buffer index can be used to determine when the computing device receives or processes an additional data set; and generating an interface for display that includes data associated with the chain of tasks, the first subset of data, or the buffer index. 17. The non-transitory computer-readable storage medium of claim 16, further comprising program code to cause the computing device to perform the operations of: generating a plurality of chains of tasks based at least in part on the stored data; receiving a first subset of data associated with each of chain of tasks in the plurality of chains of tasks; determining a buffer index associated with each chain of tasks in the plurality of chains of tasks; comparing buffer indices associated with each chain of tasks in the plurality of chains of tasks; and determining a rank of each chain of tasks based at least in part on the buffer index associated with the chain of tasks, wherein the rank of each chain of tasks can be used to determine a likelihood of completing the chain of tasks by the predetermined date 18. The non-transitory computer-readable storage medium of claim 16, wherein the first subset of data includes: a relationship indicator representing the relationship between tasks in the chain of tasks; a challenging time associated with a task in the chain of tasks, the challenging time corresponding to an amount of time for completing the task; an implementation indicator associated with the task in the chain of tasks, the implementation indicator representing an amount of time remaining before completing the task; and a buffer period associated with the chain of tasks, the buffer period representing an amount of time after a final task in the chain of tasks. 19. The non-transitory computer-readable storage medium of claim 18, wherein the operation of determining the buffer index associated with the chain of tasks based on the first subset of data includes: determining a chain duration based at least in part on the challenging time, the chain duration representing an amount of time for completing the chain of tasks; determining an amount of time remaining before completing the chain of tasks based on the amount of time remaining before completing the task and a challenging time associated with another task in the chain of tasks; and determining a chain percentage by comparing the chain duration and the amount of time remaining before completing the chain of tasks. 20. The non-transitory computer-readable storage medium of claim 19, wherein the operation of determining the buffer index associated with the chain of tasks based on the first subset of data includes: determining a remaining buffer period for the chain of tasks based on the implementation indicator and the buffer period by comparing the amount of time remaining before completing the task in the chain of tasks and the buffer period, wherein the remaining buffer period indicates an amount of the buffer period remaining; determining a buffer percentage by comparing the buffer period and the remaining buffer period; determining the buffer index by comparing the chain percentage and the buffer percentage; determining whether the buffer index is above or below a risk threshold by comparing the buffer index to the risk threshold; outputting data corresponding to the buffer index via the interface; outputting a risk level indicating the likelihood of completing the chain of tasks by the predetermined date in response to determining that the buffer index is above or below the risk threshold; receiving a desired buffer index; and determining a change in the predetermined date for adjusting the buffer index based on: i) the desired buffer index; ii) the predetermined date; and iii) the buffer period for the chain of tasks, wherein adjusting the buffer index includes adjusting the buffer index such that the buffer index corresponds to the desired buffer index; and outputting data for adjusting the buffer index.