Abstract: A building system includes one or more storage devices having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to receive an unstructured user question from a user device of a user and query a graph database based on the unstructured user question to extract context associated with the unstructured user question from contextual information of a building stored by the graph database, wherein the graph database stores the contextual information of the building through nodes and edges between the nodes, wherein the nodes represent equipment, spaces, people, and events associated building and the edges represent relationships between the equipment, spaces, people, and events. The instructions further cause the one or more processors to retrieve data from one or more data sources based on the context and compose a presentation based on the retrieved data.

Abstract: A building system includes one or more storage devices having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to receive an unstructured user question from a user device of a user and query a graph database based on the unstructured user question to extract context associated with the unstructured user question from contextual information of a building stored by the graph database, wherein the graph database stores the contextual information of the building through nodes and edges between the nodes, wherein the nodes represent equipment, spaces, people, and events associated building and the edges represent relationships between the equipment, spaces, people, and events. The instructions further cause the one or more processors to retrieve data from one or more data sources based on the context and compose a presentation based on the retrieved data.

Abstract: A building system includes one or more storage devices having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to receive an unstructured user question from a user device of a user and query a graph database based on the unstructured user question to extract context associated with the unstructured user question from contextual information of a building stored by the graph database, wherein the graph database stores the contextual information of the building through nodes and edges between the nodes, wherein the nodes represent equipment, spaces, people, and events associated building and the edges represent relationships between the equipment, spaces, people, and events. The instructions further cause the one or more processors to retrieve data from one or more data sources based on the context and compose a presentation based on the retrieved data.

Abstract: A system comprises a data ingestion logic configured to receive pandemic data associated with susceptible, exposed, infected, recovered, and vaccinated people in a community; a data analysis logic configured to weigh, normalize, calculate, or use artificial intelligence to analyze the received pandemic data; and a dashboard configured to visually present values for a plurality of indicators; wherein the data analysis logic includes a herd immunity module determining values associated with an accurate estimation of herd immunity.

Abstract: A building system includes one or more storage devices having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to receive an unstructured user question from a user device of a user and query a graph database based on the unstructured user question to extract context associated with the unstructured user question from contextual information of a building stored by the graph database, wherein the graph database stores the contextual information of the building through nodes and edges between the nodes, wherein the nodes represent equipment, spaces, people, and events associated building and the edges represent relationships between the equipment, spaces, people, and events. The instructions further cause the one or more processors to retrieve data from one or more data sources based on the context and compose a presentation based on the retrieved data.

Abstract: A building system includes one or more storage devices having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to receive an unstructured user question from a user device of a user and query a graph database based on the unstructured user question to extract context associated with the unstructured user question from contextual information of a building stored by the graph database, wherein the graph database stores the contextual information of the building through nodes and edges between the nodes, wherein the nodes represent equipment, spaces, people, and events associated building and the edges represent relationships between the equipment, spaces, people, and events. The instructions further cause the one or more processors to retrieve data from one or more data sources based on the context and compose a presentation based on the retrieved data.

Abstract: A building system includes one or more storage devices having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to receive an unstructured user question from a user device of a user and query a graph database based on the unstructured user question to extract context associated with the unstructured user question from contextual information of a building stored by the graph database, wherein the graph database stores the contextual information of the building through nodes and edges between the nodes, wherein the nodes represent equipment, spaces, people, and events associated building and the edges represent relationships between the equipment, spaces, people, and events. The instructions further cause the one or more processors to retrieve data from one or more data sources based on the context and compose a presentation based on the retrieved data.

Abstract: A building system includes one or more storage devices having instructions stored thereon that, when executed by one or more processors, cause the one or more processors to receive an unstructured user question from a user device of a user and query a graph database based on the unstructured user question to extract context associated with the unstructured user question from contextual information of a building stored by the graph database, wherein the graph database stores the contextual information of the building through nodes and edges between the nodes, wherein the nodes represent equipment, spaces, people, and events associated building and the edges represent relationships between the equipment, spaces, people, and events. The instructions further cause the one or more processors to retrieve data from one or more data sources based on the context and compose a presentation based on the retrieved data.

Abstract: A holistic hospital patient care and management system comprises a data store operable to receive and store patient data including clinical and non-clinical data; a plurality of video cameras to capture images of the patients; a plurality of presence detection sensors to detect the presence and location of the patients; a risk logic module configured to apply at least one predictive model to the clinical and non-clinical data, including the captured images, to determine at least one risk score associated with the patients; a facial biological change logic module configured to receive location data from the plurality of presence detection sensors, the risk score and medical condition associated with the patients, and captured images of the patients, and generating an alert in response to a detected change in biological change of a patient.

Abstract: A holistic hospital patient care and management system comprises a data store to receive and store patient data including clinical and non-clinical data; a plurality of RFID sensors to detect a plurality of RFID tags associated with patients to enable real-time tracking of location; at least one predictive model including a plurality of weighted risk variables and risk thresholds in consideration of the clinical and non-clinical data and configured to identify at least one medical condition associated with the patients; a risk logic module configured to apply at least one predictive model to the clinical and non-clinical data to determine at least one risk score associated with each patient; a patient monitoring logic module configured to receive location data of the patients and determine patient real-time location and status; and a user interface module configured to display patient medical condition, risk score, location, and status information to authorized personnel.

Abstract: A dashboard user interface method includes displaying a navigable list of patients each associated with a target disease with a calculated risk level, displaying historic and current data associated with a selected patient in the patient list identified as being associated with the target disease, displaying an identification of key factors in the selected patient's health data that contribute to the risk level for the selected patient with respect to the target disease, receiving and displaying care management notes for transitional care intervention for the selected patient, and displaying automatically-generated intervention and treatment recommendations.

Abstract: A clinical predictive and monitoring system comprising a data store operable to receive and store data associated with a plurality of patients selected from medical and health data; and a number of social, behavioral, lifestyle, and economic data; at least one predictive model to identify at least one high-risk patient associated with at least one medical condition; a risk logic module operable to apply the at least one predictive model to the patient data to determine at least one risk score associated the at least one medical condition and identify at least one high-risk patient; a data presentation module operable to present notification and information to an intervention coordination team about the identified at least one high-risk patient; and an artificial intelligence tuning module adapted to automatically adjust parameters in the predictive model in response to trends in the patient data.

Abstract: A dashboard user interface method comprises displaying a navigable list of at least one target disease, displaying a navigable list of patient identifiers associated with a target disease selected in the target disease list, displaying historic and current data associated with a patient in the patient list identified as being associated with the selected target disease, including clinician notes at admission, receiving, storing, and displaying review's comments, and displaying automatically-generated intervention and treatment recommendations.

Abstract: A holistic hospital patient care and management system comprises a data store operable to receive and store patient data including clinical and non-clinical data; a plurality of presence sensors to detect a plurality of tags associated with medical staff to enable real-time tracking of location and availability status; a risk logic module to apply at least one predictive model to the patient clinical and non-clinical data to determine a risk score associated with patients, and to stratify the risks associated with the patients in response to the risk scores; a medical staff monitoring logic module to receive location data from the presence sensors, analyze medical staff real-time location and availability status, automatically assign a medical staff to attend to the patients in response to the patient stratified risks, at least one medical condition, and availability of the medical staff, and generate an alert about the assignment.

Abstract: A holistic hospital patient care and management system comprises a data store operable to receive and store patient data including clinical and non-clinical data; a plurality of RFID sensors distributed in medical and social service facilities and configured to detect a plurality of RFID tags associated with the plurality of patients to enable real-time tracking location and status; a patient monitoring logic module configured to receive location data from the RFID sensors, and determine patient status; at least one predictive model in consideration of the clinical and non-clinical data including the location and status information of the plurality of patients; and a risk logic module configured to apply the at least one predictive model to the clinical and non-clinical data including the location and status information to determine at least one risk score associated with each of the plurality of patients.

Abstract: A holistic hospital patient care and management system comprises a data store to receive and store patient data including clinical and non-clinical data; a resource monitoring logic module to track real-time location and status of resources and supplies in a medical facility; a medical staff monitoring logic module to track real-time location and status of medical staff working at the medical facility; a patient monitoring logic module to track real-time location and status of patients admitted to the medical facility; a risk logic module to apply a predictive model to the clinical and non-clinical data, including patient, medical staff, and medical resource and supply location and status to determine at least one risk score associated with the patients; a situation simulation analysis logic module to determine a simulation result in response to a variable simulation parameter value and the real-time resource and supply, patient, and medical staff location and status.

Abstract: A holistic hospital patient care and management system comprises a data store to receive and store patient data including clinical and non-clinical data; a plurality of presence sensors to detect tags associated with medical resources and supplies to enable real-time tracking location and status; a risk logic module to apply at least one predictive model to the clinical and non-clinical data to determine at least one risk score associated with each of the plurality of patients, and to stratify the risks associated with the plurality of patients in response to the risk scores; a medical resource and supply monitoring logic module configured to receive location data from the presence sensors, analyze medical resource and supply real-time location and availability, assign medical resources and supplies to the plurality of patients in response to the patient stratified risks and medical resource and supply availability and location, and record each assignment.

Abstract: A holistic hospital patient care and management system comprises a data store operable to receive and store patient data including clinical and non-clinical data; a patient engagement logic module to display survey questions to solicit preference and medical and non-medical issue input from the patients; a risk logic module to apply at least one predictive model to the clinical and non-clinical data to determine at least one risk score associated with the patients, and to stratify the risks associated with the plurality of patients in response to the risk scores; and the patient engagement logic module further configured to display educational information including selected information from the data store, the at least predictive model, and the risk logic module.

Abstract: A holistic hospital patient care and management system comprises a data store operable to receive and store patient data including clinical and non-clinical data; a plurality of video cameras to capture images of the patients; a plurality of presence detection sensors to detect the presence and location of the patients; a risk logic module configured to apply at least one predictive model to the clinical and non-clinical data, including the captured images, to determine at least one risk score associated with the patients; a facial biological change logic module configured to receive location data from the plurality of presence detection sensors, the risk score and medical condition associated with the patients, and captured images of the patients, and generating an alert in response to a detected change in biological change of a patient.

Abstract: A holistic hospital patient care and management system comprises a data store to receive and store patient data including clinical and non-clinical data; a plurality of RFID sensors to detect a plurality of RFID tags associated with patients to enable real-time tracking of location; at least one predictive model including a plurality of weighted risk variables and risk thresholds in consideration of the clinical and non-clinical data and configured to identify at least one medical condition associated with the patients; a risk logic module configured to apply at least one predictive model to the clinical and non-clinical data to determine at least one risk score associated with each patient; a patient monitoring logic module configured to receive location data of the patients and determine patient real-time location and status; and a user interface module configured to display patient medical condition, risk score, location, and status information to authorized personnel.