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Application US20170024531


Published 2017-01-26

Systems And Methods For Near-real Or Real-time Contact Tracing

A healthcare information system for providing near-real or real-time contact tracing is provided comprising: a position data receiver unit configured to receive position data related to one or more entities associated with a healthcare facility; a contextual profile management unit configured to utilize received position data to generate, maintain or update one or more contextual profiles, each of the one or more contextual profiles corresponding to each of the one or more entities. Devices, systems and methods are provided related to the use of near-real or real-time contact tracing in applications including infection control, developing infection pathways, among others.



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3 Independent Claims

  • 1. A computer-implemented method, the method comprising: receiving or continuously monitoring electronic position information associated with one or more entities within a healthcare facility during a duration of time, the electronic position information obtained through one or more location tracking devices or wireless signal triangulation or a GPS receiver of one or more client computing devices, each client computing device corresponding to one of the one or more entities and acting in concert with a computational backend server residing in a healthcare data center; transforming, by the computational backend server, the electronic position information by appending one or more time coded contextual metadata tags to the electronic position information to generate contextualized electronic position information, the one or more contextual metadata tags appended when one or more electronic trigger conditions are satisfied; generating or updating one or more contextual profiles, each of the one or more contextual profiles corresponding to one of the one or more entities with the contextualized electronic position information, each of the one or more contextual profiles including at least a computationally approximated probabilistic risk level that is updated when the one or more contextual profiles are updated or generated; aggregating, by the computational backend server, the contextualized electronic position information with profile information stored in the contextual profile to generate at least one electronic map structure storing, as location points, current locations of the one or more entities and associating, with each of the location points, the approximated probabilistic risk level for the corresponding individual, the map structure including one or more pathways; and generating a visual or an audible notification on a computing interface linked to the computational backend server if the approximated probabilistic risk level of any individual is greater than a predefined threshold.

  • 11. A healthcare information tracking system, the system comprising: a position data receiver unit configured to receive or continuously monitor electronic position information associated with one or more entities within a healthcare facility during a duration of time, the electronic position information obtained through one or more location tracking devices or wireless signal triangulation or a GPS receiver of one or more client computing devices, each client computing device corresponding to one of the one or more entities and in connection with a computational backend server residing in a healthcare data center; a computational backend server configured to transform the electronic position information by appending one or more contextual metadata tags to the electronic position information to generate contextualized electronic position information, the one or more contextual metadata tags appended upon detecting that one or more electronic trigger conditions are satisfied; a contextual profile management unit configured to generate or update one or more contextual profiles, each of the one or more contextual profiles corresponding to one of the one or more entities with the contextualized electronic position information, each of the one or more contextual profiles including at least a computationally approximated probabilistic risk level that is updated when the one or more contextual profiles are updated or generated; wherein the computational backend server is further configured to aggregate the contextualized electronic position information with the contextual profiles to generate at least one electronic map structure storing, as location points, current locations of the one or more entities and associating, with each of the location points, the approximated probabilistic risk level for the corresponding individual, the map structure including one or more pathways; and wherein the computational backend server is further configured to generate a visual or an audible notification on a computing interface linked to the computational backend server if the approximated probabilistic risk level of any individual is greater than a predefined threshold.

  • 20. A non-transitory computer-readable medium having machine-readable instructions stored thereon, the instructions, which when executed, cause a processor to perform a computer-implemented method comprising: receiving or continuously monitoring electronic position information associated with one or more entities within a healthcare facility during a duration of time, the electronic position information obtained through wireless signal triangulation or a GPS receiver of one or more client computing devices, each client computing device corresponding to one of the one or more entities and acting in concert with a computational backend server residing in a healthcare data center; transforming, by the computational backend server, the electronic position information by appending one or more contextual metadata tags to the electronic position information to generate contextualized electronic position information, the one or more contextual metadata tags appended when one or more electronic trigger conditions are satisfied; generating or updating one or more contextual profiles, each of the one or more contextual profiles corresponding to one of the one or more entities with the contextualized electronic position information, each of the one or more contextual profiles including at least a computationally approximated probabilistic risk level that is updated when the one or more contextual profiles are updated or generated; aggregating, by the computational backend server, the contextualized electronic position information with profile information stored in the contextual profile to generate at least one electronic map structure storing, as location points, current locations of the one or more entities and associating, with each of the location points, the approximated probabilistic risk level for the corresponding individual; and generating a visual or an audible notification on a computing interface linked to the computational backend server if the approximated probabilistic risk level of any individual is greater than a predefined threshold and the time coded contextual metadata tags.