A system for decision support includes a path unit for determining a determined path through a decision tree that leads to a determined recommendation node including a determined recommendation. The decision tree comprises condition nodes and recommendation nodes, wherein a condition node comprises a condition associated with a particular branch of the decision tree. A recommendation node comprises a recommendation associated with the one or more conditions of the one or more condition nodes on a path towards the recommendation node. The path unit is arranged for taking into account the conditions of the condition nodes along the path by applying the conditions to a set of parameters. The system comprises an explanation unit for generating an explanation of a reason for the determined recommendation based on at least one of the condition nodes on the path that leads to the recommendation node.

A system for decision support includes a path unit for determining a determined path through a decision tree that leads to a determined recommendation node including a determined recommendation. The decision tree comprises condition nodes and recommendation nodes, wherein a condition node comprises a condition associated with a particular branch of the decision tree. A recommendation node comprises a recommendation associated with the one or more conditions of the one or more condition nodes on a path towards the recommendation node. The path unit is arranged for taking into account the conditions of the condition nodes along the path by applying the conditions to a set of parameters. The system comprises an explanation unit for generating an explanation of a reason for the determined recommendation based on at least one of the condition nodes on the path that leads to the recommendation node.

Various methods and systems are provided for longitudinal presentation of patient information. In one example, a computing device comprises a display screen, the computing device being configured to display on the screen a timeline of patient medical information including a plurality of symbols representing the patient medical information, wherein a symbol of the plurality of symbols is selectable to launch a details panel and enable a report that references the displayed patient medical information to be seen within the timeline, and wherein the symbol is displayed while the details panel is in an un-launched state.

A method for autonomously generating a care plan personalized for a patient is disclosed. The method includes receiving a selection of a type of the care plan to implement for the patient, generating the care plan based on the type selected, wherein the care plan includes an action instruction based on a patient graph of the patient and a knowledge graph including ontological medical data, receiving patient data that indicates health related information associated with the patient, modifying the care plan to generate a modified care plan in real-time or near real-time based on the patient data, and causing the modified care plan to be presented on a computing device of a medical personnel.

A method for autonomously generating a care plan personalized for a patient is disclosed. The method includes receiving a selection of a type of the care plan to implement for the patient, generating the care plan based on the type selected, wherein the care plan includes an action instruction based on a patient graph of the patient and a knowledge graph including ontological medical data, receiving patient data that indicates health related information associated with the patient, modifying the care plan to generate a modified care plan in real-time or near real-time based on the patient data, and causing the modified care plan to be presented on a computing device of a medical personnel.

Various methods and systems are provided for display of recommended treatment based on a patient's medical history and standardized guidelines. In one example, a computing system includes a display screen configured to display a patient medical path listing one or more of treatment guidelines and patient medical history, and to display abbreviated representations of at least one of the treatment guidelines and the patient medical history that can be reached directly from the displayed patient medical path. The abbreviated representations each display a limited list of data that is selectable to launch the treatment guidelines and/or the patient medical history and enable the selected data to be seen.

Systems are provided for generating data representing electromagnetic states of a heart for medical, scientific, research, and/or engineering purposes. The systems generate the data based on source configurations such as dimensions of, and scar or fibrosis or pro-arrhythmic substrate location within, a heart and a computational model of the electromagnetic output of the heart. The systems may dynamically generate the source configurations to provide representative source configurations that may be found in a population. For each source configuration of the electromagnetic source, the systems run a simulation of the functioning of the heart to generate modeled electromagnetic output (e.g., an electromagnetic mesh for each simulation step with a voltage at each point of the electromagnetic mesh) for that source configuration. The systems may generate a cardiogram for each source configuration from the modeled electromagnetic output of that source configuration for use in predicting the source location of an arrhythmia.

Systems are provided for generating data representing electromagnetic states of a heart for medical, scientific, research, and/or engineering purposes. The systems generate the data based on source configurations such as dimensions of, and scar or fibrosis or pro-arrhythmic substrate location within, a heart and a computational model of the electromagnetic output of the heart. The systems may dynamically generate the source configurations to provide representative source configurations that may be found in a population. For each source configuration of the electromagnetic source, the systems run a simulation of the functioning of the heart to generate modeled electromagnetic output (e.g., an electromagnetic mesh for each simulation step with a voltage at each point of the electromagnetic mesh) for that source configuration. The systems may generate a cardiogram for each source configuration from the modeled electromagnetic output of that source configuration for use in predicting the source location of an arrhythmia.

Systems, devices, computer-implemented methods, and/or computer program products that facilitate artificial intelligence (AI)-assisted curation of non-pharmaceutical intervention (NPI) data from heterogeneous data sources. In one example, a system can comprise a processor that executes computer executable components stored in memory. The computer executable components can comprise an extraction component and a change detection component. The extraction component can extract candidate non-pharmaceutical intervention (NPI) events from data associated with a defined disease. The change detection component can evaluate the candidate NPI events for inclusion in a dataset storing NPI events in a defined format.

A system and method are presented in which known genetic attributes associated with a condition are used to seed the determination of additional attributes which are associated with the condition. Based on the learning, the additional attributes (genetic, behavioral, or both) provide for an increased correlation between the combined attributes and the condition. For behavioral attributes, a measure of the impact of the behavioral attribute on the risk of the condition can be transmitted to another device or system.