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 clinical insight and decision support visualization tool includes a data ingestion logic module that automatically accesses, in real-time, electronic health data of a plurality of trauma patients being treated by a care team at a healthcare institution. The tool further includes a data analysis module that automatically applies at least one predictive model to analyze the processed patient data and determine a current mortality risk score value for each patient, and a user interface module that presents real-time and historical information for each trauma patient including a current mortality risk score value, a categorization of the current mortality risk score value, top contributors to the current mortality risk score value and their respective values, and a trend plot of historic mortality risk score values.
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 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 patient care plan system includes a repository of patient data including real-time clinical and non-clinical data that include data generated as a result of at least one treatment received by the patient provided by an outside service provider; at least one predictive model configured to analyze clinical and social factors derived from the patient's data to determine a risk score associated with the particular medical condition; a patient care plan module configured to selectively extract data from the patient's data to generate a targeted patient data summary including data that are indicative of quality metrics associated with the at least one treatment received by the patient, and organize and format the extracted data into a patient care plan; and a payment interface module configured to transmit the patient's care plan to a payor in exchange for payment for the at least one treatment received by the patient.
Abstract:
A lightweight clinical pregnancy preterm birth predictive system includes a data store configured to receive and store patient data consisting of only health insurance claim data associated with a plurality of patients, a predictive model including a plurality of weighted risk variables and risk thresholds, a risk logic module configured to identify a pool of pregnant patients and to apply the predictive model to the patient data of the pool of pregnant patients to determine a risk score for each pregnant patient to identify at least one patient who is at risk for preterm birth, and a data presentation module operable to present notification and information to an intervention coordination team about the identified at least one high-risk patient.
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 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 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 patient care surveillance system comprises a data store operable to receive and store clinical and non-clinical data associated with at least one patient, a user interface configured to receive user input of current information related to at least one patient, a monitor configured to sense at least one parameter associated with at least one patient, and further configured to generate real-time patient monitor data, a data analysis module configured to access the data store and analyze the clinical and non-clinical data, receive and analyze the current information and real-time patient monitor data, and identify at least one adverse event associated with the care of at least one patient, and a data presentation module operable to present information associated with at least one adverse event to a healthcare professional, the information including contextual information associated with the adverse event.