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 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 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 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: An intelligent continuity of care information system comprises a repository of patient data including clinical and social information associated with a plurality of patients updated and received from a plurality of clinical and social service organizations and data sources, at least one predictive model using clinical and social factors derived from the patient data to extract both explicitly encoded information and implicit information about the patient's clinical and social information, and a user interface operable to present a selected view of the patient data and analysis associated with the at least one particular patient to a user via a computing device, each view being composed of a selected collection of a plurality of widgets each presenting a focused subset of patient data and analysis.

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 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 cutting arrangement for grass is releaseably mountable or attachable to a vehicle. For cutting the grass, a rotatable wheel is used. The wheel extends outwardly from one side of the housing and has a cutting disc. The position of the wheel is adjustable.