Abstract: A client management tool system comprises a gateway module configured to provide access to a data store storing clinical and non-clinical data, a collection of computerized question forms configured to obtain additional data about a client, a social data model defining a structure to store and organize the client data, a predictive model including a plurality of weighted variables and thresholds in consideration of the client data to identify needs of the client and a valuation of services to address the client needs, a knowledgebase of available programs and service providers able to deliver the needed services, a client management toolkit configured to provide recommended a course of action in response to the identified client need, valuation, and available programs and services providers, and a data presentation module operable to present notifications, alerts, and outcome report related to service delivery to the client.

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 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.