Abstract: A clinical decision support system including an orchestrator module adapted to co-ordinate the triggering of inference algorithms and the execution of clinical protocols. The system further includes modules for checking input requirements for inference algorithms are met before an algorithm is released for use.

Abstract: Systems and methods are proposed for verifying whether a digital twin of abiological asset (or biological system) of a subject (110) indeed relates to the subject (110). Such proposals may be based on obtaining: a first signal comprising a value of a physiological parameter of the subject (e.g. determined by a physical and/or virtual sensor arrangement); and a second signal generated by the digital twin that simulates a value of a physiological parameter of the subject (110). By comparing the first and second signals, a verification result may then be determined.

Abstract: A method (100) for monitoring data entered into an electronic medical records (EMR) system (270), comprising: (i) estimating (104) an amount of information to be entered into the EMR system during a first monitoring period; (ii) determining (106) an amount of information entered into the EMR system during the first monitoring period; (iii) comparing (108) the determined amount of information entered into the EMR system during the first monitoring period to the estimated amount of information to be entered into the EMR system; (iv) estimating (110) a likelihood of error for information entered into the EMR system; and (v) assigning (112), based on the estimated likelihood of error, a reliability measure to the information entered into the EMR system or to information missing from the EMR system.

Abstract: According to an aspect, there is provided an apparatus for predicting a ballistic force on a subject, the apparatus comprising: a memory comprising instruction data representing a set of instructions; and a processor configured to communicate with the memory and to execute the set of instructions, wherein the set of instructions, when executed by the processor, cause the processor to: model the body of the subject as a mechanical system comprising a plurality of masses joined by springs and dampers, wherein each of the masses represents a different region of the body of the subject, and predict the ballistic force on the subject, based on oscillations of the mechanical system.

Abstract: The invention implements a digital twin to provide e.g. estimated measurements of one or more physiological or anatomical parameters in a way that requires less local storage space and local processing capacity. Embodiments are based on constructing and implementing a lean digital twin model or dataset by storing results of a number of full digital model simulations in advance and then using these pre-stored simulation results (42) to provide physiological parameter estimations, in place of the full digital twin model (32).

Abstract: According to an aspect, there is provided an apparatus (10) to control a sleep assistance device (30) for alleviating a user's pain during sleep. The apparatus (10) comprises: a receiver (11) configured to receive sensor data (14) associated with the user; a processor (12) configured to analyze the sensor data (14) to predict a pain measure of the user, and to generate a control signal (15) for the sleep assistance device (30) in accordance with the predicted pain measure; and a transmitter (13) configured to transmit the control signal (15) to the sleep assistance device (30) for alleviating pain.

Abstract: A provided method is for configuring settings of a computing device for providing more efficient and reliable acquisition of data for use in updating a personalized digital model (digital twin) of a subject. The method comprises configuring settings of a biometric authentication function of a computing device so as to provide for overlap in the input data requirements of the biometric authentication function and the input data requirements of the digital twin. There may be different authentication protocols available at the computing device, each requiring different input sensing data. Based on knowledge of these different authentication protocols and data requirements, and based on knowledge of data input needs of a digital twin, an authentication protocol can be selected and/or its settings adjusted, so that when performing biometric authentication, the same acquired sensor data can also be used for deriving physiological parameter data of the subject, for updating the digital twin.

Abstract: Some embodiments are directed to a health database system. The health database system receives health data relating to a patient and medical updates from multiple data generating systems. The system determines if a received medical update is relevant for the patient, and, if so, store the medical update in a database storage associated with the determined patient.

Abstract: A patient monitoring system comprising a memory (104) comprising instruction data representing a set of instructions (106) and a processor (102) configured to communicate with the memory and to execute the set of instructions. The set of instructions, when executed by the processor, cause the processor to obtain patient data about a patient being monitored by the patient monitoring system, obtain previous patient data, determine a difference between the patient data and the previous patient data; and send a message to a user display associated with the patient monitoring system, to cause the user display to adapt content displayed on the user display, based on the determined difference.

Abstract: A computer system is disclosed comprising a processor arrangement communicatively coupled to a data storage arrangement storing a digital model of a section of a lumen system of a patient; and a communication module communicatively coupled to said processor arrangement and arranged to receive sensor data pertaining to an internal parameter of said lumen system from a sensor within said section of the lumen system. The processor arrangement is arranged to receive said sensor data from the communication module; retrieve said digital model from the data storage arrangement; simulate an actual physical condition of said lumen system by developing said digital model based on the received sensor data; and generate an output relating to said simulated actual physical condition for updating an electronic device. Also disclosed is a method of monitoring a patient with such a computer system, a computer program product for implementing such a method and a patient monitoring system.

Abstract: In an embodiment, a computer-implemented method (100) is described. The method comprises receiving (102) a request associated with a user for information about a client. The method further comprises, in response to the request, generating (104) information indicative of at least one interaction between at least one caregiver and a client context associated with the client based on interaction data obtained responsive to the at least one interaction. The generated information is customized to the user based on a user profile associated with the user.

Abstract: The invention relates to a computer-implemented method (600) of monitoring patient data. A patient record data source enables to access a patient record of a patient, wherein the patient record indicates a version of a medical protocol currently being used with the patient. A protocol data source indicates available versions of the medical protocol and/or of a medical guideline from which the medical protocol is derived. The used version of the medical protocol is compared to a further version of the medical protocol or of the medical guideline accessible via the protocol data source to obtain a change indicator for the used version of the medical protocol, and the change indicator is output.

Abstract: The present disclosure relates to a method for validating a healthcare review. The method includes: obtaining from an author, a request to post a healthcare review on a staff experience record; analyzing the healthcare review to identify a subject of the healthcare review; ascertaining identity of the author as to how the author is related with the subject; validating the healthcare review based on the identity of the author, at least one of personal health records and electronic medical records corresponding to the author or the subject, and the staff experience record; and determining a review validity score of the healthcare review based on results from the validating of the healthcare review.

Abstract: According to an aspect, there is provided a computer implemented method for processing data relating to a subject, the method comprising: generating a first query based on contextual information relating to a subject; receiving, from a user, a second query relating to the subject; and processing the first query and the second query to generate an output comprising at least one of: a request for further input from a user; an indication of clinical information relevant to the subject.

Abstract: A system and method are provided for patient monitoring. The system and method may receive measurement data comprising measured values of physiological parameters of a patient at consecutive time instances. On a display, a trend view 510 may be provided which provides a longitudinal visualization of the measurement data by setting out the measured values of a first set of the physiological parameters at the consecutive time instances against a common timeline. Simultaneously with the trend view, a patient status view 500 may be provided which provides a visualization of a physiological state of the patient and which visualization is adapted to the measured values of a second set of the physiological parameters at a select time instance.

Abstract: Systems and methods are proposed for training and employing a machine learning algorithm for identifying uncertain Digital Twin model parameters. Such proposals may make use of a set of DTs that is chosen such that it comprises DTs that have achieved a target/predetermined morbidity scenario. The training may then identify uncertain model parameters for the set of DTs. Using the identified uncertain model parameters, the set of DTs may then be run so as to assess whether the target morbidity scenario is achieved.

Abstract: There is provided a computer-implemented for controlling a system, the method comprising: acquiring conditions under which data required for analyzing a first biological parameter is to be captured; determining, based on the conditions, requirements associated with an orientation of a body part, a position of a body part, a movement of a body part, and/or a level of a second biological parameter; acquiring, based on the requirements, a current orientation of the body part, a current position of the body part, a current movement of a body part of the subject, and/or a current level of the second biological parameter; determining a required adjustment of an orientation of the body part, a position of the body part, and/or a second biological parameter, based on the respective requirement and the information associated with the respective requirement; generating guidance for the subject based on the determined required adjustment.

Abstract: A user device comprises an app that stores and maintains exclusive control of user data, and causes one or more processors to send a request for services according to a trial period to a distributed ledger associated with service providers and anonymously interact with the service providers according to a set of rules maintained in the distributed ledger by passing along a token uniquely associated with the user during for the respective interaction with each service provider without the user data being shared with the service providers.

Abstract: A system (10) configures operating settings and parameters of a patient monitor (14), in particular a bedside patient monitor, based on use of a digital twin (32) of the at least one patient (13) being monitored. The system (10) configures settings of a signal processing module (16) of the patient monitor, the signal processing module adapted to process incoming sensor data to extract or derive one or more clinical parameters relating to the patient. Outputs of the digital twin relate to a current or predicted future state of the patient and thus can intelligently guide the signal processing module to extract and output clinical parameters which are most clinically relevant to the patient's condition at any given time. Thus the patient monitor (14) automatically displays the most clinically relevant parameters for the patient at each given moment, which allows a clinician to rapidly ascertain the clinical state of the patient, and to take any necessary action quickly to treat the patient.

Abstract: A computer-implemented method that receives at an apparatus a request from a first computing device for access to information related to a first user data set; determines, or receives an indication of a determination, whether the first computing device can access the information based on criteria for sharing information, the criteria based on one or more characteristics of the first user data set and a second user data set accessible by the first computing device; and provide a response based on the determination, the response preserving privacy of a user corresponding to the first user data set.