Abstract:
A method includes receiving patient data for a patient in electronic format. The patent data includes information that identifies the patient. The method further includes labeling the patient data with a guaranteed unique identifier. The method further includes at least one of removing or visually obscuring any information in the patient data that identifies the patient. The method further includes conveying, electronically, the labeled patient data to a third party remote computing/storage service. The labeled patient data is stored at the remote computing/storage service without any information in the patient data that identifies the patient.
Abstract:
A method includes obtaining an electrical signal that includes a set of at least two sensed physiologic measurements of a patient, comparing the at least two physiologic measurements with a predetermined physiologic measurement range, identifying data required to determine a probability and a severity of a condition of interest of the patient, in response to determining the at least two physiologic measurements do not satisfy the physiologic measurement range, receiving the identified data in electronic format, determining a first probability and a first severity of the condition of interest based on the received identified data, determining a recommended course of action for the patient based on the first probability and the first severity, resources of a healthcare facility, and an event guideline; and causing a display to visually present the first probability and first severity and the recommended course of action.
Abstract:
A system (10) and method to identify motion artifacts. Measurements of a physiological parameter of an associated patient are received from a probe (12)positioned on or proximate to the associated patient. Further, measurements of acceleration are received from an accelerometer (26) positioned on, proximate to, or integrated with the probe (12). Measurements of the physiological parameter are labeled based on the measured acceleration, such as being with or without motion.
Abstract:
A clinical decision support system (16) monitors one or more patients. The system (16) includes one or more processors (84) programmed to receive patient data for the patients. For each patient, one or more monitoring rules are selected from a plurality of monitoring rules based on patient data availability and/or patient context. A determination is made as to whether a patient is deteriorating using the selected monitoring rules for the patient. In response to determining the patient is deteriorating, an alert is generated.
Abstract:
A method for controlling access to data being processed by a remote computing resource includes issuing a public encryption key for a data creator from a public certificate authority, detecting an encounter with a data owner, creating private encryption keys for the data creator and the data owner in response to detecting the encounter, encrypting data being sent to the remote computing resource with the public encryption key, the data creator's private encryption key, and the data owner's private encryption key, decrypting the data based on public verification of the public encryption key and local verification of the data creator's private encryption key and the data owner's private encryption key at the remote computing resource, and controlling the data creator's access to the data by altering the permission of at least one of the public encryption key and data creator's private encryption key.
Abstract:
A medical system (10) and method detect arrhythmi cevents. The medical system (10)includes at least one processor (28, 34, 50) programmed to perform the method. A photoplethysmogram (PPG) signal generated using a PPG probe (12)positioned on or within a patient (14) anda pulse signal generated using an accelerometer (38)positioned on or within the patient (14) received. Features from the PPG signal are extracted to PPG feature vectors, and features are extracted from the pulse signal to pulse feature vectors. The PPG feature vectors are correlated with the pulse feature vectors, and correlated PPG feature vectors and correlated pulse feature vectors are evaluated to detect arrhythmic events.
Abstract:
Un sistema médico (10) y un método para detectar eventos arrítmicos. El sistema médico (10) incluye por lo menos un procesador (28, 34, 50) programado para realizar el método. Una señal de fotopletismograma (PPG) generada utilizando una sonda de PPG (12) colocada sobre o dentro de un paciente (14) y una señal de pulso generada utilizando un acelerómetro (38) colocado sobre o dentro del paciente (14) se reciben. Las cualidades de la señal de PPG se extraen para vectores de cualidades de PPG y las cualidades se extraen de la señal de pulso para vectores de cualidades de pulso. Los vectores de cualidades de PPG se correlacionan con los vectores de cualidades de pulso y los vectores de cualidades de PPG correlacionados y los vectores de cualidades de pulso correlacionados se evalúan para detectar eventos arrítmicos.
Abstract:
A system for making data source anonymous including a plurality of data sources, each data source including a data creation engine which creates normalized data in accordance with a common schema and a transformation engine which de-normalizes the normalized data such that the data source cannot be inferred by other data sources and transmits the de-normalized data to a remote computing resource.A remote computing resource receives and stores the de-normalized data from the plurality of data sources.
Abstract:
A medical method and corresponding system for determining outlying patients in a data set of patient physiological alarms. Physiological alarms for patients are received and/or generated. An alarm rate limit for the patients, and/or alarm response limits for clinician response times, are determined based on a clinical alarm management policy. The received and/or generated physiological alarms are analyzed to determine at least one of: 1) patients exceeding the alarm rate limit;and 2) clinicians exceeding the alarm response limits.
Abstract:
La presente invención se refiere a un sistema para hacer anónima una fuente de datos que incluye una pluralidad de fuentes de datos, cada fuente de datos incluye un motor de creación de datos el cual crea datos normalizados de acuerdo con un esquema común y un motor de transformación el cual des-normaliza los datos normalizados de tal manera que la fuente de datos no puede ser inferida por otras fuentes de datos y transmite los datos des-normalizaron a un recurso informático distante. Un recurso informático distante recibe y almacena los datos des-normalizado de la pluralidad de fuentes de datos.