Abstract: Techniques are provided for identifying interactions between natural medicines and modern medicines. A corpus of information is analyzed pertaining to interactions of natural medicines with modern medicines for treating a condition. A mapping is created, wherein natural medicines are mapped to modern medicines for treating the condition. An on-line clinical trial study group is created, allowing participation by users, wherein a participation in a group is allowed for a selected set of users based on a group medication usage profile. Information from participants in each group is collected, and the collected information is analyzed.

Abstract: This application provides a computer-implemented method for providing notifications. The method includes creating and storing a geofenced area associated with a mobile device and a location that has a healthcare facility in a data store and outputting a notification to the mobile device when the mobile device is within the geofenced area. The notification may include that the location offers at least one healthcare service that can be received on an unscheduled basis, where in the facility that the at least one healthcare service is offered, whether or not the healthcare service is covered by a patient's insurance, the cost of the healthcare service, the out-of-pocket cost by the patient of the healthcare service, wait time at the facility for the healthcare service, and when the patient should not receive the healthcare service for other medical reasons.

Abstract: Approaches presented herein enable treating a medical condition via individual customized cognitive guidance. More specifically, a current interactive and customized diagnosis object (ICDO) comprising a treatment schedule for a patient is generated by combining a set of previous ICDOs from the patient, wherein each ICDO has a structure which defines elements that are used to diagnose a symptom and match the patient with a treatment. A status of the patient is monitored in real time via an internet of things network to detect an actual event of the patient differing from the treatment schedule. In real time, the treatment schedule is modified responsive to the differing event by adjusting the current ICDO by exchanging one element of the treatment plan for a new element according to a learned set of rules to compensate for the differing event. This modified treatment schedule is provided to the patient in real time.

Abstract: Method starts with a processor receiving configuration settings including an identified task, a relationship data, and a criticality value. Processor initializes a communication session with an agent client device. The communication session is between a virtual caller associated with the system and the agent client device. Processor then processes an audio signal of the communication session to generate an agent utterance and generates a transcribed agent utterance based on the agent utterance using a speech-to-text processor. Processor generates a virtual caller utterance using a task-specific virtual caller neural network associated with the identified task. The virtual caller utterance can be generated based on the transcribed agent utterance. Processor then causes the virtual caller utterance to be played back in the communication session to the agent client device. Other embodiments are disclosed herein.

Abstract: A smart body temperature monitoring system, including a thermometer that has a body temperature detection module, a CPU connected with the body temperature detection module, and a wireless communication module connected with the CPU; a cloud server having a cloud database that stores global records of one or more persons including global identification information and global body temperature data of the person; and a mobile terminal, through which the global records of the cloud database stored in the cloud server are accessed and checked.

Abstract: Registration means of an authentication system (S) registers, for each user, first authentication information and second authentication information in storage means. First authentication means performs first authentication based on a similarity between the first authentication information that has been input and the registered first authentication information. Second authentication means performs second authentication based on a match between the second authentication information that has been input and the registered second authentication information. Restriction means restricts a plurality of users having similar first authentication information to each other from registering the same second authentication information as each other.

Abstract: Various aspects described herein relate to presenting drug dispensing information. Data related to a plurality of dispensing events initiated by one or more employees, of an electronic drug dispensing system can be received. A set of dispensing events of the plurality of dispensing events can be determined as constituting possible misappropriation of drugs by the one or more employees. An alert related to the set of dispensing events can be provided based on determining that the set of dispensing events constitute possible misappropriation of drugs.

Abstract: This disclosure relates to systems and methods for managing data associated with a user using a personalized cloud storage platform operating as a centralized repository for user data generated from a variety of sources and/or user devices. By centralizing the storage and/or management of personal data that would conventionally be confined between multiple information silos, embodiments of the systems and methods disclosed herein may improve the ability of a user to control their personal data, facilitate utilization of their personal data in a variety of ways not offered by services associated with the silos, and/or allow a user to centrally manage their personal data. Further embodiments disclosed herein allow a user to define one or more policies or other rules associated with personal data stored in their personal cloud.

Abstract: Techniques are disclosed for linearizing interfaces within computing applications. In some embodiments, the techniques include defining a sequence of user interface elements, where at least a subset of user interface elements in the sequence of user interface elements correspond to controls for affecting a session state. Responsive to receiving an input value through a user interface element, a linearization process adds the input value to at least one dataset for evaluating a current state for each respective user interface element subsequent to the user interface element in the sequence of user interface elements. The process further evaluates the current state for each respective user interface element subsequent to the user interface element in the sequence of user interface elements based on values within the at least one data set. The process may disable and/or enable one or more user interface elements based on the evaluation.

Abstract: A system for a data driven disease test result prediction, the system comprising a computing device configured to receive user data, wherein the user data includes user parameters, generate, using the user data, training data wherein the training data includes a plurality of entries wherein each entry correlates user parameter data to at least a prediction parameter of the plurality of prediction parameters associated with an infectious disease, train, using the training data and a machine-learning process, a machine-learning model, wherein the trained machine-learning model is configured to generate a plurality of infectivity parameters; compare the plurality of infectivity parameters to a retest target threshold, and determine, as a function of the comparison, a confidence metric, wherein the confidence metric informs a testing protocol.

Abstract: A resource statistics collection method and apparatus, and a terminal are provided. The method includes: recording a process running on a terminal at each of at least two time points; for each of the time points, obtaining at least one hardware resource invoked by the process running at the time point; obtaining a process set including processes running at the at least two time points; and obtaining, according to the hardware resource invoked by the process in the process set, information about the at least one hardware resource occupied by an application associated with the process in the process set. In embodiments of the present invention, statistics collection is performed per process, so that information about the hardware resource occupied by each application of the terminal can be obtained, and a statistical granularity is relatively fine.

Abstract: Contemplated compositions and methods are directed to cancer neoepitopes and uses of such neoepitopes, especially to generate synthetic antibodies against neoepitopes that may then be employed in the manufacture of a therapeutic agent. Preferred therapeutic agents will comprise a synthetic antibody against a neoepitope, and most preferably in combination with a cellular or non-cellular component for use as a diagnostic or therapeutic agent.

Abstract: The disclosure relates to systems and methods of facilitating the coordination of benefits for a plurality of health plans that individually have at least some responsibility to pay for healthcare services received by members covered by more than one health plan. The coordination of benefits may be facilitated before payments are made, streamlining the payment process. The system may correlate health plan information received from various health plans and determine that a particular member is covered by more than one health plan based on the correlated health plan information. The system may generate, update, and provide a COB registry that includes coverage information related to other health plans that cover the particular member. The COB registry may include primacy information used to identify health plans having primary, secondary, and/or other responsibility to pay for a given healthcare service for a member covered by the identified health plans.

Abstract: A system, method, and machine-readable storage medium for restoring a data object for a specified active time period are provided. In some embodiments, the method includes receiving, by a storage device from a client, a request specifying an active time period for a data object to remain stored on an accessible tier. The method also includes determining, by the storage device, that the active time period has elapsed. The method further includes responsive to a determination that the active time period has elapsed, sending, by the storage device, a request to a server storing the data object to move the data object from the accessible tier to an archive tier. Data objects that are stored on the accessible tier are accessible by the client, and data objects that are stored on the archive tier are inaccessible by the client.

Abstract: Methods, systems, and apparatuses may provide for the auto-determination of partial usage of a physical environment and use derived intelligence to take various actions. This may allow for partial resulting maintenance of the physical environment based on a single use or use over time.

Abstract: A method includes receiving a query that identifies an entity, obtaining a first set of entity records responsive to the query, wherein each record of the first set of entity records comprises one or more visual objects responsive to the query, obtaining a second set of entity records responsive to the query, wherein each record in the second set of entity records includes an entity score describing the entity that is associated with a period of time when the one or more visual objects were generated, executing computer program code correlating the first set of entity records with the second set of entity records, executing computer program code that uses the second set of entity records with which the first set of entity records is correlated to enhance the first set of entity records, and generating visual snapshot rendering data based on the enhanced first set of entity records.

Abstract: Methods, apparatus, systems, computing devices, computing entities, and/or the like for using machine learning to predict micropopulation risk scores and use the micropopulation risk scores to predict a composite risk score. The composite risk score and it associated attributes can be used to provide notifications/messages and provide dynamic content to a mobile app.

Abstract: Embodiments of the present systems and methods may provide techniques to predict the success or failure of a drug used for disease treatment. For example, a method of determining drug efficacy may include, for a plurality of patients, generating a directed acyclic graph from health related information of each patient comprising nodes representing a medical event of the patient, at least one first edge connecting the first node to an additional node, each additional edge connecting nodes representing two consecutive medical events, the edge having a weight based on a time difference between the two consecutive medical events, capturing a plurality of features from each directed acyclic graph, generating a binary graph classification model on captured features of each directed acyclic graph, determining a probability that a drug or treatment will be effective using the binary graph classification model, and determining a drug to be prescribed to a patient based on the determined probability.

Abstract: A computer system may parse a set of medical events of a patient and determine when the patient has been taking a first medication and a second medication. The computer system may determine the duration of time in which the patient has been taking the first medication. An expected duration of time for the course of treatment may be provided. When it is determined that the actual course of treatment differed from the expected duration of treatment, then the system may flag a potential drug interaction. When enough of these flags are determined, an indication of a potential drug interaction may be stored and a prompt or notification sent to other health practitioners about the potential drug interaction.

Abstract: Systems, methods, and computer storage media are provided for determining a patient's severity of illness score (pSIS) for a patient admitted to an acute care facility. Data corresponding to physiologic components is received from an electronic medical record associated with a patient admitted to an acute care healthcare facility. The physiologic components include vital sign measurements and laboratory tests. Weights are assigned to a minimum, median, and maximum measured values for each vital sign. Weights are assigned to minimum and maximum values for each laboratory test. The weights are derived based on a deviation from normal within a time period. A pSIS is determined by summing the weights. Additional data corresponding to physiologic components may be received from the electronic medical record. The additional data may be utilized to update the weights and determine a patient's updated pSIS that may be utilized to track a progress of the patient.

Abstract: A device, system, and method creates an operative personal health record (PHR). The PHR server maintains the PHR of an owner, the PHR including a plurality of sections, one of the sections being an aggregated section including a plurality of subsections, one of the subsections corresponding to a health care entity. The method includes receiving a retrieval input from the owner of the PHR, the retrieval input identifying the health care entity from which information is to be requested. The method includes generating a request for the information. The method includes transmitting the request to the health care entity. The method includes receiving the information from the health care entity. The method includes including the information in the subsection of the aggregated section in the PHR corresponding to the health care entity.

Abstract: An embodiment includes displaying to a physician at least one of: (a)(i) a hospital floor map, (a)(ii) a first patient identifier, and (a)(iii) a second patient identifier, wherein (b)(i) the map displays first and second rooms of the hospital floor, (b)(ii) a first patient is assigned to the first room and the first patient identifier, (b)(iii) a second patient is assigned to the second room and a second patient identifier, and (b)(iv) a first nurse is assigned to the first room and the first patient identifier, (b)(v) and a second nurse is assigned to the second room and the second patient identifier; receiving a selection from the physician, the selection comprising at least one of the displayed first room and the displayed first patient identifier; and sending a communication from the physician to the first nurse, and not the second nurse, in response to receiving the selection.

Abstract: A system and method processes blood donation data for presentation on an operator interface. A handheld computing device has a touch screen display and a processing circuit to provide an icon associated with an executable application on a first display screen, the icon configured to be positioned along with icons for other executable applications on the first display screen. The processing circuit is to retrieve an indication of a need for a particular blood component, wherein the particular blood component is selected from the group comprising whole blood, double red cells and plasma. The processing circuit is to provide the indication of the need for a particular blood component to the display. The processing circuit is to provide to the touch screen display a remaining time or a date the blood donor is next eligible to donate a blood component based on a donation eligibility guideline.

Abstract: Various examples are directed to systems and methods for monitoring a patient. For example, patient data of a first type may be monitored with a low-fidelity monitoring technique over a first time period. Patient behavior may be evaluated based on the monitored first type of patient data. Patient data of a second type may be monitored over a second time period with a continuous glucose monitor device. A parameter of the continuous glucose monitor device may be based on the evaluated patient behavior during the monitoring.

Abstract: A server computing device executing an electronic health records (EHR) receives an indication from a client computing device that approval from a pharmacy benefits manager (PBM) with respect to prescribing a medication and/or treatment to a patient is requested. The EHR causes the server computing device to transmit an approval request to a computing system of the PBM, and monitors incoming messages for an approval message from the PBM. When the approval message is received, the ERR constructs a prescription for the medication and/or treatment for the patient and causes the prescription to be transmitted to a pharmacy.

Abstract: A method for providing notifications to a patient associated with a mobile device is provided. The method includes receiving and storing information related to a scheduled visit to the healthcare services facility, determining a first notification based upon the information related to the scheduled visit, and outputting the first notification to the mobile device. The first notification is further based upon the medical history of the patient, the insurance network of the patient, where the patient lives and works, the price information of the healthcare service being performed for the patient, preferences of the patient, the knowledge and skill and self-confidence of the patient to manage healthcare, and the location of the healthcare services facility and patient and a geofenced area indicating that the patient is in close proximity to the healthcare services facility when entered into by the mobile device associated with the patient.

Abstract: Techniques for generating cancer registry records are provided. The techniques include obtaining a plurality of rules that define cancer registry record generation as a function of patient health records; obtaining one or more electronic health records associated with a patient that include cancer related treatment information; processing the cancer related treatment information in the one or more electronic health records to generate a cancer registry record for the patient that represents a portion of the cancer related treatment information; determining that the cancer registry record includes insufficient cancer related treatment information; and updating the cancer registry record to address the insufficient cancer related treatment information by evaluating the cancer related treatment information against the plurality of rules.

Abstract: A patient data management platform, e.g., a community paramedicine platform, which may also be referred to as a mobile integrative health platform or system, may include a web-based, cloud-based, and/or software-based system for tracking patients and patient visits by health care providers, paramedics or other emergency medical services (“EMS”) professionals in an out of hospital, mobile, and/or non-emergency context. Such a platform performs functions and data input, visit logging, and reporting tasks that are distinct from that of a traditional EMS electronic patient care reporting system.

Abstract: Systems, methods, and apparatus to generate and utilize predictive workflow analytics and inferencing are disclosed and described. An example apparatus includes processor(s) to at least: generate a prediction including a probability of a patient no-show to a scheduled appointment using an artificial intelligence engine including a patient no-show model to predict the probability of the patient no-show based on a combination of healthcare workflow data and non-healthcare information; synchronize the prediction and a schedule including the scheduled appointment; and generate an interactive dashboard including the synchronized prediction and the schedule and at least one of: a) a first option to adjust the schedule to replace the patient based on the probability of the patient no-show orb) a second option to adjust the schedule to move the patient to a different time based on the probability of the patient no-show.

Abstract: System and methods for alerting a healthcare provider to prescribed treatments having reduced or no effectiveness due to genetic composition is provided. A database containing treatments known to have reduced or no efficacy in persons having particular genetic markers is queried to determine whether any treatments prescribed by, or likely to be prescribed by, a healthcare provider to the patient are known to have reduced or no efficacy in persons having the same genetic markers as the patient. An alert containing such information is displayed at a healthcare provider system.

Abstract: A system, method and wireless earpieces for populating an electronic medical record utilizing wireless earpieces. The sensor measurements are analyzed. The sensor measurements are associated with the electronic medical record of the user. The electronic medical record of the user is populated with the sensor measurements. Communications including the electronic medical record are communicated.

Abstract: An information processing apparatus (2000) detects an assistance-needing-person (30) and an assister (40) present around the assistance-needing-person (30) at a surveillance target location. The detection of the assistance-needing-person (30) and the assister (40) is performed using various sensors. The information processing apparatus (2000) performs any one or more of decision as to whether or not to perform notification related to the assistance-needing-person (30) and decision of a content of the notification based on detection results of the assistance-needing-person (30) and the assister (40).

Abstract: A method for determining a patient radiation and diagnostic study score associated with past diagnostic radiologic tests. In light of the obvious benefits of diagnostic radiology, the risks inherent in its use are often overlooked. Ionizing radiation, which is a component of much, but not all, diagnostic radiology, carries with it a small risk of inducing cancer every time it is used. This additional risk, known as “Lifetime Attributable Risk,” is layered on top of an individual's lifetime base risk of invasive cancer. The present method for determining a patient radiation and diagnostic study score provides right time, right place, and right format radiology information to assist providers in their medical decision-making. With greater awareness of recent study history, and individually contextualized risk and benefit considerations, providers are more likely to decrease their overall usage of diagnostic radiology and better counsel their patients on future risk.

Abstract: Systems and methods are provided for automatically detecting misuse of a benefit system. Information relating to benefit provision (e.g., receiver information, service performed, equipment used, materials provided, provider information, etc.) may be parsed from claims data to determine patterns for benefit receivers and/or benefit providers. The patterns may be analyzed to determine specific patterns indicative of fraud/benefit abuse and the particular benefit receivers/providers/events may be tagged as a lead for investigation.

Abstract: A method comprising: establishing a wireless connection between a first medical device and a second medical device, comprising: receiving, by the first medical device, via a short-range wireless technology protocol, connection information related to the second medical device; and establishing, by the first medical device, a wireless connection with the second medical device based on the connection information.

Abstract: A system and method for predicting, proposing and/or evaluating suitable medication dosing regimens for a specific individual as a function of individual-specific characteristics and observed responses of the specific individual. Mathematical models of observed patient responses are used in determining an initial dose. The system and method use the patient's observed response to the initial dose to refine the model for use to forecast expected responses to proposed dosing regimens more accurately for a specific patient.

Abstract: A computer program product includes multiple microservices for interrogating clinical records according to one or more projects associated with patient datasets obtained from electronic copies of source documents from the clinical records. A first microservice generates a user interface including a first portion displaying source documents and, concurrently, a second portion displaying structured patient data fields organized into categories for entering structured patient data derived from the source documents displayed in the first portion. Categories and their organization are defined by a template and include cancer diagnosis, staging, tumor size, genetic results, and date of recurrence. A second microservice validates abstracted patient data according to validation rules applied to the categories, validation rules being assigned to the projects and performed on the categories as they are populated.

Abstract: The technology relates to determining service item management opportunities. One or more processors may receive a set of client data via communication network. The one or more processors may identify one or more service item management opportunities by determining service items in the set of client data which satisfy at least one or more rules and assign a confidence value to the one or more service item management opportunities. For each of the one or more service item management opportunities, a recommended intervention type based on the respective assigned confidence value may be determined and for each of the one or more service item management opportunities, a transmission may be caused by the one or more processors, via the communication network to an external device, of rendering information indicating the service item management opportunity and the recommended intervention type.

Abstract: A method and system for scanning claims data, the method comprising receiving, by a computing system, contract details associated with claims, receiving, by the computer system, prescription transactions data associated with the claims, parsing, by the computer system, the transactions data into column values, and executing, by the computer system, analytics on the parsed transactions. The analytics include comparing the parsed transactions against the contract details for accurate pricing, fees, and accepted treatment protocols concerning dose and quantity, comparing the parsed transactions with independent pricing data that is based on third-party pricing data and drug information, identifying material errors in the parsed transactions, determining withholdings from payment of the claims for a portion above a tolerance level based on the identified material errors. The method further comprising presenting, by the computer system, results of the execution of the analytics to a portal.

Abstract: Methods, systems, and media for generating a group of media content items are provided. In some embodiments, the method comprises: receiving, from a server, a plurality of media content items; storing, on a user device, the plurality of media content items; determining, by the user device, whether to request a clustering of the plurality of media content items; in response to determining that a request for clustering the plurality of media content items is to be made, transmitting the request to the server, wherein the request includes indications of the plurality of media content items; receiving, from the server, a plurality of clusters corresponding to the plurality of media content items; and causing indications of the plurality of media content items to be presented in a user interface on the user device, wherein the indications of the plurality of media content items are organized based on the plurality of clusters.

Abstract: A method of scanning parameter optimization, which method may be useful with image-guided radiation therapy (IGRT), allows for controlling exposure of a beam from an x-ray source and/or controlling the detection mechanism for an x-ray detector of imaging radiation of a radiation-delivery device based on one or more parameters of a region of interest of a patient. The one or more parameters of the region of interest may include a dimension, outer contour, density, location relative to an outlet of the beam, location relative to isocenter, location to the whole patient body, etc. Exposure of the patient to the beam may be varied via modulation of one or more scanning parameters for controlling an aspect of the beam and/or the detector to provide for targeted and or reduced radiation exposure of the patient or portion of the patient, and/or for improved quality of guiding images. The modulation may be varied depending on a view angle of the region of interest from a portion of the radiation-delivery device.

Abstract: A medical system comprises processing circuitry configured to: load medical images sequentially from a data store which stores a set of medical images, each having an associated location; receive a current location of a medical image that is currently displayed on the display; receive an input operation from a user; process the input operation to determine whether the input operation is of a first type or the input operation is of a second type, wherein the first type of input operation is intended to be less precise than the second type of input operation, and to determine a destination location in dependence on the current location and the input operation; perform a first display operation based on the destination location if the input operation is of the first type; and perform a second display operation based on the destination location if the input operation is of the second type.

Abstract: Methods, apparatuses, and systems for transcribing and performing analysis on patient data are disclosed. Data is collected from one or more medical professionals as well as sensors and imaging devices positioned on or oriented towards a patient. An analysis is performed on the patient data and the data is presented to a medical professional via a verbal interface in a conversational manner, allowing the medical professional to provide additional data such as observations or instructions which may be used for further analysis or to perform actions related to the patient's care.

Abstract: In various embodiments, an encoding metric comparison application computes a first set of quality scores associated with a test encoding configuration based on a set of bootstrap quality models. Each bootstrap quality model is trained based on a different subset of a training database. The encoding metric comparison application computes a second set of quality scores associated with a reference encoding configuration based on the set of bootstrap quality models. Subsequently, the encoding metric comparison application generates a distribution of bootstrap values for an encoding comparison metric based on the first set of quality scores and the second set of quality scores. The distribution quantifies an accuracy of a baseline value for the encoding comparison metric generated by a baseline quality model.

Abstract: Secure digital assistant integration with web pages is provided. The system receives an intent manifest data structure that maps actions of a digital assistant with link templates of an electronic resource developed by a third-party developer device. The system validates the electronic resource based on the intent manifest data structure. The system receives, from a data exchange component of an iframe of the electronic resource loaded by a client computing device, an identifier of the client computing device. The system receives a foreground state of the electronic resource from an onsite state sharing API. The system selects a data value for a parameter based on the foreground state and the intent manifest data structure. The system provides the data value. An authorization component generates an authorization prompt, receives input, and transmits the data value to an onsite intent execution API of the electronic resource to execute an action.

Abstract: Example embodiments disclosed herein relate to methods and systems for determining whether particular actions affect or influence medical symptoms of patients. In one example, a plurality of datasets from a corresponding plurality of patients is received, where each patient has a corresponding disease. An individual dataset for an individual patient may include information about at least one disease symptom of the patient and at least one action of the patient. After the datasets are received from the patients, the datasets are stored in a database. Using the datasets stored in the database, a correlation between one or more actions and one or more disease symptoms may be determined based on a statistical analysis of the actions and symptoms stored in the database. The correlation between the one or more actions and the one or more disease symptoms may also be stored in the database.

Abstract: Methods and devices include automated coaching for management of glucose states by receiving a user's glucose levels using a continuous glucose monitoring (CGM) device, determining a time in range (TIR) value, determining a TIR state, receiving a glucose variability (GV) value, determining a GV state, determining a starting state based on the TIR state and the GV state, determining that the starting state corresponds to a non-ideal state, generating an optimized pathway to reach an ideal state based on one or more account vectors such as addressing self-management behavior including food, activity, and medication use. The optimized pathway may further be based on computer detection and classification of significant events of interest over time.

Abstract: Systems and methods for generating document content using data analysis. For example, a system may store data representing one or more documents, where a document is associated with a type of user and fields. The system may send the data representing the document to an electronic device. Additionally, the system may receive, from the electronic device, data representing information input into the document. Using the information, the system may select various fields for the document and send, to the electronic device, data representing the fields. Furthermore, the system may analyze the information to determine a score associated with the document. If the score does not satisfy a threshold score, the system may continue to select fields using the information and send, to the electronic device, data representing the fields. However, if the score satisfies the threshold score, the system may determine that the document is complete.

Abstract: A method and apparatus can include a system controller and a system processor. The system controller can retrieve a health science related dataset from at least one database, the retrieved dataset including information associated with at least one of a patient medical information, healthcare provider clinical information, health related publications and treatment information, and pharmaceutical information, and transmit to a user equipment a recommendation of at least one of health diagnosis and treatment for a patient. The system processor can utilize multidimensional nonlinear manifold clustering on at least one element from the retrieved dataset, assign an entity formulated from the at least one element of the retrieved dataset into a decision hyper-volume based on the multidimensional nonlinear manifold clustering, and determine the recommendation of at least one of health diagnosis and treatment for the patient based on the assignment of the entity into the decision hyper-volume.

Abstract: A diagram based visual procedure note writing, in one aspect, presents an image representing a structure on a user interface display. A plurality of objects is presented on the user interface display. Responsive to an object being placed onto the image of the structure, metadata associated with the object is updated based on region information associated with a position where the object is placed onto the image. The updated metadata is presented on the user interface display. A note is composed based on the updated metadata.