Abstract: Systems and methods are provided for managing patient assistance requests in a healthcare facility, documenting items (e.g., minor, routine, and/or frequently-performed items) in association with a patient's records in an Electronic Healthcare Information System, and cancelling patient requests for assistance. Indications that requests for assistance have been received and/or are being addressed by an appropriate healthcare team member may be audibly output from a speaker associated with a personal assistant device. Healthcare team members may verbally provide items for documentation in association with a patient's medical records, the items for documentation being received by a listening component of a personal assistant device and transmitted to an EHIS for documentation.

Abstract: The present invention is directed to intelligent and near real-time monitoring in a streaming environment. In embodiments, a streaming platform streams raw data from raw data capture devices, where the raw data is contextually enriched using multiple information sources. A rule execution operator, integrated within the streaming platform, detects events by executing rules against the contextually enriched data. The rules applied are customizable, flexible, multivariate, and dynamically responsive to changing information. When an event is detected, an action can be instantiated in response to the event detection and/or newly derived information. The action and/or instructions for performing the action are communicated to external sources, where the action can be initiated and/or completed. Accordingly, actions are instantiated in near real time relative to the initial receipt of raw data from which the events were detected. Actions may be delayed using sophisticated temporal reasoning, in some embodiments.

Abstract: Systems and methods are provided for managing patient assistance requests in a healthcare facility, documenting items (e.g., minor, routine, and/or frequently-performed items) in association with a patient's records in an Electronic Healthcare Information System, and cancelling patient requests for assistance. Indications that requests for assistance have been received and/or are being addressed by an appropriate healthcare team member may be audibly output from a speaker associated with a personal assistant device. Healthcare team members may verbally provide items for documentation in association with a patient's medical records, the items for documentation being received by a listening component of a personal assistant device and transmitted to an EHIS for documentation.

Abstract: Systems and methods are provided for managing patient assistance requests in a healthcare facility, documenting items (e.g., minor, routine, and/or frequently-performed items) in association with a patient's records in an Electronic Healthcare Information System, and cancelling patient requests for assistance. Indications that requests for assistance have been received and/or are being addressed by an appropriate healthcare team member may be audibly output from a speaker associated with a personal assistant device. Healthcare team members may verbally provide items for documentation in association with a patient's medical records, the items for documentation being received by a listening component of a personal assistant device and transmitted to an EHIS for documentation.

Abstract: The present invention is directed to intelligent and near real-time monitoring in a streaming environment. In embodiments, a streaming platform streams raw data from raw data capture devices, where the raw data is contextually enriched using multiple information sources. A rule execution operator, integrated within the streaming platform, detects events by executing rules against the contextually enriched data. The rules applied are customizable, flexible, multivariate, and dynamically responsive to changing information. When an event is detected, an action can be instantiated in response to the event detection and/or newly derived information. The action and/or instructions for performing the action are communicated to external sources, where the action can be initiated and/or completed. Accordingly, actions are instantiated in near real time relative to the initial receipt of raw data from which the events were detected. Actions may be delayed using sophisticated temporal reasoning, in some embodiments.

Abstract: The present invention is directed to intelligent and near real-time monitoring in a streaming environment. In embodiments, a streaming platform streams raw data from raw data capture devices, where the raw data is contextually enriched using multiple information sources. A rule execution operator, integrated within the streaming platform, detects events by executing rules against the contextually enriched data. The rules applied are customizable, flexible, multivariate, and dynamically responsive to changing information. When an event is detected, an action can be instantiated in response to the event detection and/or newly derived information. The action and/or instructions for performing the action are communicated to external sources, where the action can be initiated and/or completed. Accordingly, actions are instantiated in near real time relative to the initial receipt of raw data from which the events were detected. Actions may be delayed using sophisticated temporal reasoning, in some embodiments.

Abstract: The present invention is directed to intelligent and near real-time monitoring in a streaming environment. In embodiments, a streaming platform streams raw data from raw data capture devices, where the raw data is contextually enriched using multiple information sources. A rule execution operator, integrated within the streaming platform, detects events by executing rules against the contextually enriched data. The rules applied are customizable, flexible, multivariate, and dynamically responsive to changing information. When an event is detected, an action can be instantiated in response to the event detection and/or newly derived information. The action and/or instructions for performing the action are communicated to external sources, where the action can be initiated and/or completed. Accordingly, actions are instantiated in near real time relative to the initial receipt of raw data from which the events were detected. Actions may be delayed using sophisticated temporal reasoning, in some embodiments.

Abstract: The present invention is directed to intelligent and near real-time monitoring in a streaming environment. In embodiments, a streaming platform streams raw data from raw data capture devices, where the raw data is contextually enriched using multiple information sources. A rule execution operator, integrated within the streaming platform, detects events by executing rules against the contextually enriched data. The rules applied are customizable, flexible, multivariate, and dynamically responsive to changing information. When an event is detected, an action can be instantiated in response to the event detection and/or newly derived information. The action and/or instructions for performing the action are communicated to external sources, where the action can be initiated and/or completed. Accordingly, actions are instantiated in near real time relative to the initial receipt of raw data from which the events were detected. Actions may be delayed using sophisticated temporal reasoning, in some embodiments.

Abstract: The present invention relates to methods, systems, and computer-readable media for routing healthcare information based on a role associated with a user. Information may not always need to go to a specific person but, rather, may need to be communicated to a role. A user may be associated with a given role based on manually claiming the role, being assigned to a role, or being automatically scheduled into a role. Additionally, information may be communicated using user contact preferences specifying the modality by which the user is to be contacted under various circumstances. Further, the information may be re-directed if a rejection (or lack of response) is received by an initial recipient.

Abstract: The present invention is directed to a system and methods for integrating flexible event detection into a near real-time streaming environment. A streaming platform streams raw data from multiple sources, adds contextual information to the raw data, and makes inferences from the enriched information. A rule execution operator, being integrated within the streaming platform, executes rules against the enriched information to detect events, using a rule repository that stores a plurality of flexible, dynamic, and customizable rules. When an event is detected by the rule execution operator, the streaming platform may use a middleware component to instantiate actions that are responsive to a detected event. Actions may be directly performed, and/or the actions and instructions for implementing or performing those actions are communicated to external devices.

Abstract: Systems and methods are provided for managing patient assistance requests in a healthcare facility, documenting items (e.g., minor, routine, and/or frequently-performed items) in association with a patient's records in an Electronic Healthcare Information System, and cancelling patient requests for assistance. Indications that requests for assistance have been received and/or are being addressed by an appropriate healthcare team member may be audibly output from a speaker associated with a personal assistant device. Healthcare team members may verbally provide items for documentation in association with a patient's medical records, the items for documentation being received by a listening component of a personal assistant device and transmitted to an EHIS for documentation.

Abstract: Systems and methods for utilizing personal assistant devices to remotely manage healthcare are presented. In some aspects a personal assistant device associated with a patient (e.g., an AMAZON ECHO or a GOOGLE HOME device) is utilized to audibly output at least one instruction to be performed by the patient. In aspects, the instruction is to be performed by the user utilizing a connected health marker monitoring device. Upon the patient performing the instruction, for instance, upon a measurement being received from the connected health marker monitoring device, the result of the instruction (e.g., the measurement) is transmitted to one or more of an electronic health information system for association with the patient's healthcare records, a device associated with a member of a care team associated with the patient, a data store, and a control component for further evaluation.

Abstract: The present invention is directed to intelligent and near real-time monitoring in a streaming environment. In embodiments, a streaming platform streams raw data from raw data capture devices, where the raw data is contextually enriched using multiple information sources. A rule execution operator, integrated within the streaming platform, detects events by executing rules against the contextually enriched data. The rules applied are customizable, flexible, multivariate, and dynamically responsive to changing information. When an event is detected, an action can be instantiated in response to the event detection and/or newly derived information. The action and/or instructions for performing the action are communicated to external sources, where the action can be initiated and/or completed. Accordingly, actions are instantiated in near real time relative to the initial receipt of raw data from which the events were detected. Actions may be delayed using sophisticated temporal reasoning, in some embodiments.

Abstract: The present invention is directed to intelligent and near real-time monitoring in a streaming environment. In embodiments, a streaming platform streams raw data from raw data capture devices, where the raw data is contextually enriched using multiple information sources. A rule execution operator, integrated within the streaming platform, detects events by executing rules against the contextually enriched data. The rules applied are customizable, flexible, multivariate, and dynamically responsive to changing information. When an event is detected, an action can be instantiated in response to the event detection and/or newly derived information. The action and/or instructions for performing the action are communicated to external sources, where the action can be initiated and/or completed. Accordingly, actions are instantiated in near real time relative to the initial receipt of raw data from which the events were detected. Actions may be delayed using sophisticated temporal reasoning, in some embodiments.

Abstract: Systems and methods provide for implementation of a messaging protocol that provides security necessary for clinical messaging while also providing scalability needed to properly function within a clinical setting. The messaging protocol provides for federation of messages across messaging domains with a direct target address or via a role or group endpoint address that resolves to one or more target addresses. The messaging protocol also provides the ability to include content other than text in messages.

Abstract: Systems and methods provide for implementation of a messaging protocol that provides security necessary for clinical messaging while also providing scalability needed to properly function within a clinical setting. The messaging protocol provides for federation of messages across messaging domains with a direct target address or via a role or group endpoint address that resolves to one or more target addresses. The messaging protocol also provides the ability to include content other than text in messages.

Abstract: The present invention is directed to intelligent and near real-time monitoring in a streaming environment. In embodiments, a streaming platform streams raw data from raw data capture devices, where the raw data is contextually enriched using multiple information sources. A rule execution operator, integrated within the streaming platform, detects events by executing rules against the contextually enriched data. The rules applied are customizable, flexible, multivariate, and dynamically responsive to changing information. When an event is detected, an action can be instantiated in response to the event detection and/or newly derived information. The action and/or instructions for performing the action are communicated to external sources, where the action can be initiated and/or completed. Accordingly, actions are instantiated in near real time relative to the initial receipt of raw data from which the events were detected. Actions may be delayed using sophisticated temporal reasoning, in some embodiments.

Abstract: The present invention is directed to a system and methods for integrating flexible event detection into a near real-time streaming environment. A streaming platform streams raw data from multiple sources, adds contextual information to the raw data, and makes inferences from the enriched information. A rule execution operator, being integrated within the streaming platform, executes rules against the enriched information to detect events, using a rule repository that stores a plurality of flexible, dynamic, and customizable rules. When an event is detected by the rule execution operator, the streaming platform may use a middleware component to instantiate actions that are responsive to a detected event. Actions may be directly performed, and/or the actions and instructions for implementing or performing those actions are communicated to external devices.

Abstract: The present invention relates to methods, systems, and computer-readable media for routing healthcare information based on a role associated with a user. Information may not always need to go to a specific person but, rather, may need to be communicated to a role. A user may be associated with a given role based on manually claiming the role, being assigned to a role, or being automatically scheduled into a role. Additionally, information may be communicated using user contact preferences specifying the modality by which the user is to be contacted under various circumstances. Further, the information may be re-directed if a rejection (or lack of response) is received by an initial recipient.