Abstract: A system for querying a federated data store includes a metadata knowledge graph describing the contents and relationships among one or more underlying data stores, an interactive user interface receiving requests from a data consumer, a predefined constrainable query (‘nodegroup’) store containing predefined constrainable queries that define data subsets of interest across one or more of the underlying data repositories, a knowledge-driven querying layer generating and executing queries against the federated data store and merging responsive results, a scalable analytic execution layer receiving the search results from the federated data store and applying machine learning/artificial intelligence techniques to analyze the results, and a user interface presenting visualizations of raw or analyzed results to the consumer. A method and a non-transitory computer-readable medium are also disclosed.

Abstract: A system to generate and run federated queries against a plurality of data stores storing disparate data types, the system including a user interface receiving query details from a data consumer, a metadata knowledge graph containing metadata for links and relationships of the data stores, a knowledge-driven querying layer accessing the graph and selecting predefined constrainable queries from a nodegroup store and applying the metadata links/relationships to the predefined constrainable queries to assemble subqueries, a query and analysis platform providing the subqueries to some of the data stores for execution, a scalable analytic execution layer receiving and aggregating search results from the data stores into a merged search result and/or obtaining analytic results by applying machine learning and artificial intelligence techniques to the distributed data, the user interface presenting visualizations generated from the merged search results, and/or the analytic results.

Abstract: A system to query a federated store containing disparate data types and stores, the system including a UI or API to specify query details, a metadata knowledge graph with metadata describing the contents of the data stores, the relationships among them, and how to programmatically query the data stores, a predefined constrainable query (‘nodegroup’) store containing nodegroups providing a template to search the data stores, the querying layer including services and libraries to process nodegroups and generate a set of queries, a query and analysis platform providing the set of queries to at least one data store for execution at the federated stores and return a result, a scalable analytic execution layer applying machine learning/artificial intelligence techniques to analyze the query results and presenting data analysis result visualizations. A method and a non-transitory medium are also disclosed.

Abstract: A system to generate and run federated queries against a plurality of data stores storing disparate data types, the system including a user interface receiving query details from a data consumer, a metadata knowledge graph containing metadata for links and relationships of the data stores, a knowledge-driven querying layer accessing the graph and selecting predefined constrainable queries from a nodegroup store and applying the metadata links/relationships to the predefined constrainable queries to assemble subqueries, a query and analysis platform providing the subqueries to some of the data stores for execution, a scalable analytic execution layer receiving and aggregating search results from the data stores into a merged search result and/or obtaining analytic results by applying machine learning and artificial intelligence techniques to the distributed data, the user interface presenting visualizations generated from the merged search results, and/or the analytic results.

Abstract: A system for querying a federated data store includes a metadata knowledge graph describing the contents and relationships among one or more underlying data stores, an interactive user interface receiving requests from a data consumer, a predefined constrainable query (‘nodegroup’) store containing predefined constrainable queries that define data subsets of interest across one or more of the underlying data repositories, a knowledge-driven querying layer generating and executing queries against the federated data store and merging responsive results, a scalable analytic execution layer receiving the search results from the federated data store and applying machine learning/artificial intelligence techniques to analyze the results, and a user interface presenting visualizations of raw or analyzed results to the consumer. A method and a non-transitory computer-readable medium are also disclosed.

Abstract: A method to schedule resources in delivery of healthcare to a series of patients is provided. The method comprises the steps of identifying an availability of the series of resources to deliver the healthcare to each patient; calculating a predicted duration to deliver the healthcare to each patient; calculating a schedule including a block of time dependent on the predicted duration for each resource to deliver healthcare to the patient, the block of time including a start time and an end time; calculating a confidence level in the schedule, the confidence level including a probability that one or more of the resources will not be available for the block of time of the schedule or calculating a likelihood that one or more resources will be available for the block of time in the schedule; and outputting the schedule and the confidence level in the schedule for display.

Abstract: A method to schedule resources in delivery of healthcare to a series of patients is provided. The method comprises the steps of identifying an availability of the series of resources to deliver the healthcare to each patient; calculating a predicted duration to deliver the healthcare to each patient; calculating a schedule including a block of time dependent on the predicted duration for each resource to deliver healthcare to the patient, the block of time including a start time and an end time; calculating a confidence level in the schedule, the confidence level including a probability that one or more of the resources will not be available for the block of time of the schedule or calculating a likelihood that one or more resources will be available for the block of time in the schedule; and outputting the schedule and the confidence level in the schedule for display.

Abstract: A method to schedule resources in delivery of healthcare to a series of patients is provided. The method comprises the steps of identifying an availability of the series of resources to deliver the healthcare to each patient; calculating a predicted duration to deliver the healthcare to each patient; calculating a schedule including a block of time dependent on the predicted duration for each resource to deliver healthcare to the patient, the block of time including a start time and an end time; calculating a confidence level in the schedule, the confidence level including a probability that one or more of the resources will not be available for the block of time of the schedule or calculating a likelihood that one or more resources will be available for the block of time in the schedule; and outputting the schedule and the confidence level in the schedule for display.

Abstract: A system and method for monitoring the health of a remotely located person is disclosed herein. The system includes at least one electronic device. The electronic device includes a first sensor a processor and a transmitter. The system also includes a remote monitoring station that receives data from at least one electronic device and produces an evaluation of the person's health.

Abstract: A system and method for monitoring the health of a remotely located person is disclosed herein. The system includes at least one electronic device. The electronic device includes a first sensor a processor and a transmitter. The system also includes a remote monitoring station that receives data from at least one electronic device and produces an evaluation of the person's health.

Abstract: Certain embodiments provide a method for viewing biometrical information, determining the clinical state of the patient, and dynamically adapting schedule and process interdependencies in a clinical environment. The method includes deriving a schedule including at least one patient treatment protocol based on a mathematical model using people and asset information as input. The method also includes processing input biometrical data indicating a patient status. Additionally, the method includes adapting the at least one patient treatment protocol based on the biometrical data. Further, the method includes revising the schedule based on adapting the at least one patient treatment protocol. In certain embodiments, the method includes recalculating a critical path, schedule tasks, and resource allocation based on adapting the at least one patient treatment protocol and revising the schedule.

Abstract: A method to schedule resources in delivery of healthcare to a series of patients is provided. The method comprises the steps of identifying an availability of the series of resources to deliver the healthcare to each patient; calculating a predicted duration to deliver the healthcare to each patient; calculating a schedule including a block of time dependent on the predicted duration for each resource to deliver healthcare to the patient, the block of time including a start time and an end time; calculating a confidence level in the schedule, the confidence level including a probability that one or more of the resources will not be available for the block of time of the schedule or calculating a likelihood that one or more resources will be available for the block of time in the schedule; and outputting the schedule and the confidence level in the schedule for display.

Abstract: The method and system includes producing a trajectory report to illustrate for the patient the benefit of complying with a prescribed treatment regimen. The method and system collects a set of physiological, self assessment, and compliance data from the patient, accesses a patient medical record database and a de-identified compliance and outcomes database, and calculates a clinical trajectory using a trajectory algorithm. The clinical trajectory is displayed for the patient on a graphical user interface, and illustrates for the patient the results of adhering to a prescribed treatment regimen compared to not adhering to the regimen. The method and system may be applied to any health condition that requires the patient to follow a treatment regimen.

Abstract: An apparatus in one example comprises a user wearable, non-encumbering, movement sensor and an analyzer. The user wearable, non-encumbering, movement sensor substantially continuously measures daily-activity data of a patient. The analyzer makes a determination from the daily-activity data of the patient that a change in condition of the patient has occurred. The analyzer generates an indication of the change in condition of the patient for access by a remote caregiver.

Abstract: A device, system and method for monitoring the activity of one or more residents in a habitable structure so as to ascertain whether the activity, or inactivity, is unusual. A variety of sensors distributed around the home collect data on activity in the home. The monitored person or persons wear an independent activity detector that monitors individual activity of a specific person. The house data is communicated to a remote monitoring center, and the individual data is communicated to an analyzing mechanism, which may be a communication panel or the remote monitoring center. The house data and individual data are analyzed and compared to ascertain whether any specific person within the habitable structure is engaged in unusual activity or inactivity. The independent activity detector may be configured to transmit an authentication signal to authenticate specific detected activity with a specific person.

Abstract: A system and method for identifying a change in walking speed of a person is provided. The system comprises a plurality of sensors disposed in various rooms of a structure. The sensors are operable to provide a signal representative of motion and/or the location of the person within the structure. The system may also include a processor-based system that may receive signals representative of the motion and/or location of the person from the sensors. The processor-based system may establish a travel time for a path traveled by the person through the structure based on the signals representative of the motion and/or location of the person and may store the travel time within the processor-based system. The processor-based system may identify at least one path traveled by the person through the structure from among various travel paths traveled by the person through the structure as having a consistent travel time over a period of time.

Abstract: A system and method for detecting a period of unusual inactivity of a person is provided. The system comprises a monitoring system, which is in communication with location and motion sensors. The monitoring system comprises a processor-based device programmed to develop a model of the person's periods of inactivity within a structure based on data received from the sensors. The processor-based device may also be programmed to determine if a current period of inactivity within the structure is a period of normal inactivity or a period of unusual inactivity based on the model of the person's periods of inactivity.

Abstract: A device and method for monitoring whether a resident is away from home or inactive within the home. A sensor, which includes a transmitter, a processor, a timer, and a detector, watches for motion to occur within a home. Upon sensing motion, the sensor sends a first signal indicative of the motion if the timer is not currently running and waits for the motion to end. If the timer already is running, the timer is restarted at zero. Upon expiration of a predetermined timing period, the sensor transmits a second signal indicative of inactivity. By comparing the timing of the second signal and the predetermined timing period, with a third signal sent by an exterior door sensor, a determination can be made whether the resident has left the home or is inactive within the home.

Abstract: A system and method for monitoring whether a resident is away from home or inactive within the home. A sensor, which includes a transmitter, a processor, a timer, and a detector, watches for motion to occur within a home. Upon sensing motion, the sensor sends a first signal indicative of the motion if the timer is not currently running and waits for the motion to end. If the timer already is running, the timer is restarted at zero. Upon expiration of a predetermined timing period, the sensor transmits a second signal indicative of inactivity. By comparing the timing of the second signal and the predetermined timing period, with a third signal sent by an exterior door sensor, a determination can be made whether the resident has left the home or is inactive within the home. The system includes a database, a CPU and State Model for determining the activity state of a home.

Abstract: A system and method for monitoring the activities of a resident living independently to distinguish normal activity from unusual activity. A variety of sensors distributed around the home collect data on activity in the home. The data is communicated to a remote monitoring center and collated in a database according to applicable time slots. The time slots for a twenty-four hour cycle are at least three and can be as many as forty-eight or more. Historical activity time lines are created and a buffer time is added to and offset from the maximum historical activity time line. If a new data point comes in that exceeds both the maximum historical activity time line and the buffer time, an alert is issued indicating the activity is unusual.