Biased task assignments based on geotracking of discharge vehicles

• US 10,319,056 B1
• Filed: 12/03/2015
• Issued: 06/11/2019
• Est. Priority Date: 12/04/2014
• Status: Active Grant

• Current Assignee: C-HCA, Inc.
• Original Assignee: HCA Holdings Incorporated (HCA Healthcare, Inc.)
• Inventors: Perez, Gabriel O., Houston, Michael A.
• Primary Examiner(s): Miller, Alan S
• Application Number:
  US14/957,911
• Time in Patent Office: 1,286 Days
• Field of Search: 705 711- 742
• CPC Class Codes: G06Q 50/40 Business processes related to the transportation industry shipping G06Q10/083
• CPC Class Codes: G16H 40/20 for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms

Abstract

Systems, non-transitory computer-readable media, and computer-implemented methods are provided for using location data of discharge vehicles for management of distributions of task assignments. Systems, non-transitory computer-readable media, and computer-implemented methods are provided for collecting task specifications and identifying appropriate task-performing resources. Systems, non-transitory computer-readable media, and computer-implemented methods are provided for using location data of discharge vehicles for electronically adjusting scheduled tasks. Systems, non-transitory computer-readable media, and computer-implemented methods are provided for assigning tasks based on empirical performance assessments of resource-allocation systems.

Claims

1. A system for controlling resource allocation and task processing, the system comprising:

a transformative integration engine communicatively coupled with a transaction management engine, the transformative integration engine comprising;

one or more aggregation servers communicatively coupled to one or more detecting components and configured to aggregate data from the one or more detecting components;

one or more data storage servers communicatively coupled to the one or more aggregation servers and configured to store the data aggregated in a unified data layer of the system; and

one or more interface servers that are communicatively coupled to one or more networks and to one or more interfaces that receive a first set of electronic communications from one or more detection devices that detect load identifiers;

the transaction management engine to track transmissions of electronic communications communicated via the one or more interfaces, the tracking transmissions comprising detecting an electronic communication of the first set of electronic communications, the electronic communications comprising an electronic identifier of a load, wherein the load identifiers comprises the electronic identifier of the load;

the transformative integration engine to;

consequent to detecting the electronic identifier, retrieve, via at least one data storage server of the one or more data storage servers and based at least in part on the electronic identifier, a characteristic of the load from an electronic record stored in the unified data layer;

identify i) a first task specification for a first task associated with the load, ii) a target time for performing the first task, and iii) a type of task-performing resource configured to accept loads having the characteristic;

access a respective metric for each resource-allocation system in a plurality of resource-allocation systems that is indicative of a respective reliability of performance of tasks previously assigned to the resource-allocation system;

bias, based at least in part on the metrics accessed, an assignment of the first task with respect to a subset of the plurality of resource-allocation systems, and, consequent to the biasing, assigning the first task to a particular resource-allocation system from the subset;

generate a first signal corresponding to the first task that identifies the target time and is indicative of the assignment of the first task;

transmit the first signal to the particular resource-allocation system;

the transaction management engine further to detect one or more subsequent electronic communications comprising location-based data that is communicated from at least one of the one or more detecting components and based at least in part on one or more sensors detecting indicators of one or more locations of the task-performing resource;

the transformative integration engine further to;

predict a timeliness of performance of the first task based at least partially on the location-based data;

access a target efficiency metric reflecting a target efficiency of task performance;

access a flexible task schedule to identify a second task identified;

determine a performance time for the second task to be performed based at least partially on the predicted timeliness of performance of the first task and the target efficiency metric; and

transmit a second signal with an instruction to perform the second task at the performance time determined;

the transaction management engine further to;

track subsequent transmissions so that electronic communications with data corresponding to the first task and/or the second task are detected; and

the transformative integration engine further to generate one or more alerts based at least in part on receiving tracked data.

2. The system for controlling resource allocation and task processing as recited in claim 1, wherein the one or more interfaces receive a second set of electronic communications from the one or more detecting components that are communicatively coupled to the one or more sensors, the location-based data comprising geolocation data.

3. The system for controlling resource allocation and task processing as recited in claim 2, the transformative integration engine further to identify the target efficiency metric based at least in part on previously stored data in the unified data layer and applying a learning technique that identifies metrics associated with positive results.

4. The system for controlling resource allocation and task processing as recited in claim 3, the transaction management engine further to receive the electronic communication of the first set of electronic communications from at least one detecting component of the one or more detecting components, wherein the at least one detecting component detects a scan of an electronic device or an electronic tag corresponding to the load.

5. The system for controlling resource allocation and task processing as recited in claim 4, the tracking subsequent transmissions comprising:

identifying a first time corresponding to performance of a defined portion of the first task;

comparing the first time to a target time; and

adjusting the respective metric for the particular resource-allocation system based at least partially on the comparison of the first time to the target time, wherein the respective metric comprises a metric for task performance.

6. The system for controlling resource allocation and task processing as recited in claim 5, wherein the biasing the assignment of the first task comprises selecting the subset of the plurality of resource-allocation systems, the selection being at least partially based on the metrics accessed, and selectively transmitting one or more allocation requests to each resource-allocation system in the subset.

7. The system for controlling resource allocation and task processing as recited in claim 6, wherein the selectively transmitting the allocation requests to each resource-allocation system in the subset comprises sequentially transmitting each allocation requests of a plurality of allocation requests to one or more of the resource-allocation systems of the plurality of resource-allocation systems according to a ranked order.

8. A method for controlling resource allocation and task processing, the method comprising:

aggregating, by a transformative integration engine communicatively coupled with a transaction management engine, data from one or more detecting components, the transformative integration engine comprising one or more aggregation servers communicatively coupled to the one or more detecting components;

storing, by one or more data storage servers of the transformative integration engine, the data aggregated in a unified data layer;

receiving, via one or more interfaces, a first set of electronic communications from one or more detection devices that detect load identifiers;

tracking, by the transaction management engine, transmissions of electronic communications communicated via the one or more interfaces, the tracking transmissions comprising detecting an electronic communication of the first set of electronic communications, the electronic communications comprising an electronic identifier of a load, wherein the load identifiers comprises the electronic identifier of the load;

consequent to detecting the electronic identifier, retrieving, via at least one data storage server of the one or more data storage servers and based at least in part on the electronic identifier, a characteristic of the load from an electronic record stored in the unified data layer;

identifying, by the transformative integration engine, i) a first task specification for a first task associated with the load, ii) a target time for performing the first task, and iii) a type of task-performing resource configured to accept loads having the characteristic;

accessing, by the transformative integration engine, a respective metric for each resource-allocation system in a plurality of resource-allocation systems that is indicative of a respective reliability of performance of tasks previously assigned to the resource-allocation system;

bias, based at least in part on the metrics accessed, an assignment of the first task with respect to a subset of the plurality of resource-allocation systems, and, consequent to the biasing, assigning the first task to a particular resource-allocation system from the subset;

generating, by the transformative integration engine, a first signal corresponding to the first task that identifies the target time and is indicative of the assignment of the first task;

transmitting, by the transformative integration engine, the first signal to the particular resource-allocation system;

detecting, by the transaction management engine or the transformative integration engine, one or more subsequent electronic communications comprising location-based data that is communicated from at least one of the one or more detecting components and based at least in part on one or more sensors detecting indicators of one or more locations of the task-performing resource;

predicting, by the transformative integration engine, a timeliness of performance of the first task based at least partially on the location-based data;

accessing, by the transformative integration engine, a target efficiency metric reflecting a target efficiency of task performance;

accessing, by the transformative integration engine, a flexible task schedule to identify a second task identified;

determining, by the transformative integration engine, a performance time for the second task to be performed based at least partially on the predicted timeliness of performance of the first task and the target efficiency metric;

transmitting, by the transformative integration engine, a second signal with an instruction to perform the second task at the performance time determined;

tracking, by the transformative integration engine, subsequent transmissions so that electronic communications with data corresponding to the first task and/or the second task are detected; and

generating, by the transformative integration engine, one or more alerts based at least in part on receiving tracked data.

9. The method for controlling resource allocation and task processing as recited in claim 8, wherein the one or more interfaces receive a second set of electronic communications from the one or more detecting components that are communicatively coupled to the one or more sensors, the location-based data comprising geolocation data.

10. The method for controlling resource allocation and task processing as recited in claim 9, further comprising identifying, by the transformative integration engine, the target efficiency metric based at least in part on previously stored data in the unified data layer and applying a learning technique that identifies metrics associated with positive results.

11. The method for controlling resource allocation and task processing as recited in claim 10, further comprising receiving the electronic communication of the first set of electronic communications from at least one detecting component of the one or more detecting components, wherein the at least one detecting component detects a scan of an electronic device or an electronic tag corresponding to the load.

12. The method for controlling resource allocation and task processing as recited in claim 11, the tracking subsequent transmissions comprising:

identifying a first time corresponding to performance of a defined portion of the first task;

comparing the first time to a target time; and

adjusting the respective metric for the particular resource-allocation system based at least partially on the comparison of the first time to the target time, wherein the respective metric comprises a metric for task performance.

13. The method for controlling resource allocation and task processing as recited in claim 12, wherein the biasing the assignment of the first task comprises selecting the subset of the plurality of resource-allocation systems, the selection being at least partially based on the metrics accessed, and selectively transmitting one or more allocation requests to each resource-allocation system in the subset.

14. The method for controlling resource allocation and task processing as recited in claim 13, wherein the selectively transmitting the allocation requests to each resource-allocation system in the subset comprises sequentially transmitting each allocation requests of a plurality of allocation requests to one or more of the resource-allocation systems of the plurality of resource-allocation systems according to a ranked order.

15. One or more non-transitory, machine-readable media having machine-readable instructions thereon which, when executed by a system for controlling resource allocation and task processing, implements a method comprising:

aggregating, by a transformative integration engine communicatively coupled with a transaction management engine, data from one or more detecting components, the transformative integration engine comprising one or more aggregation servers communicatively coupled to the one or more detecting components;

storing, by one or more data storage servers of the transformative integration engine, the data aggregated in a unified data layer;

receiving, via one or more interfaces, a first set of electronic communications from one or more detection devices that detect load identifiers;

tracking, by the transaction management engine, transmissions of electronic communications communicated via the one or more interfaces, the tracking transmissions comprising detecting an electronic communication of the first set of electronic communications, the electronic communications comprising an electronic identifier of a load, wherein the load identifiers comprises the electronic identifier of the load;

consequent to detecting the electronic identifier, retrieving, via at least one data storage server of the one or more data storage servers and based at least in part on the electronic identifier, a characteristic of the load from an electronic record stored in the unified data layer;

identifying, by the transformative integration engine, i) a first task specification for a first task associated with the load, ii) a target time for performing the first task, and iii) a type of task-performing resource configured to accept loads having the characteristic;

accessing, by the transformative integration engine, a respective metric for each resource-allocation system in a plurality of resource-allocation systems that is indicative of a respective reliability of performance of tasks previously assigned to the resource-allocation system;

bias, based at least in part on the metrics accessed, an assignment of the first task with respect to a subset of the plurality of resource-allocation systems, and, consequent to the biasing, assigning the first task to a particular resource-allocation system from the subset;

generating, by the transformative integration engine, a first signal corresponding to the first task that identifies the target time and is indicative of the assignment of the first task;

transmitting, by the transformative integration engine, the first signal to the particular resource-allocation system;

detecting, by the transaction management engine or the transformative integration engine, one or more subsequent electronic communications comprising location-based data that is communicated from at least one of the one or more detecting components and based at least in part on one or more sensors detecting indicators of one or more locations of the task-performing resource;

predicting, by the transformative integration engine, a timeliness of performance of the first task based at least partially on the location-based data;

accessing, by the transformative integration engine, a target efficiency metric reflecting a target efficiency of task performance;

accessing, by the transformative integration engine, a flexible task schedule to identify a second task identified;

determining, by the transformative integration engine, a performance time for the second task to be performed based at least partially on the predicted timeliness of performance of the first task and the target efficiency metric;

transmitting, by the transformative integration engine, a second signal with an instruction to perform the second task at the performance time determined;

tracking, by the transformative integration engine, subsequent transmissions so that electronic communications with data corresponding to the first task and/or the second task are detected; and

generating, by the transformative integration engine, one or more alerts based at least in part on receiving tracked data.

16. The one or more non-transitory, machine-readable media as recited in claim 15, wherein the one or more interfaces receive a second set of electronic communications from the one or more detecting components that are communicatively coupled to the one or more sensors, the location-based data comprising geolocation data.

17. The one or more non-transitory, machine-readable media as recited in claim 16, further comprising identifying, by the transformative integration engine, the target efficiency metric based at least in part on previously stored data in the unified data layer and applying a learning technique that identifies metrics associated with positive results.

18. The one or more non-transitory, machine-readable media as recited in claim 17, further comprising receiving the electronic communication of the first set of electronic communications from at least one detecting component of the one or more detecting components, wherein the at least one detecting component detects a scan of an electronic device or an electronic tag corresponding to the load.

19. The one or more non-transitory, machine-readable media as recited in claim 18, the tracking subsequent transmissions comprising:

identifying a first time corresponding to performance of a defined portion of the first task;

comparing the first time to a target time; and

adjusting the respective metric for the particular resource-allocation system based at least partially on the comparison of the first time to the target time, wherein the respective metric comprises a metric for task performance.

20. The one or more non-transitory, machine-readable media as recited in claim 19, wherein the biasing the assignment of the first task comprises selecting the subset of the plurality of resource-allocation systems, the selection being at least partially based on the metrics accessed, and selectively transmitting one or more allocation requests to each resource-allocation system in the subset.