Abstract: Systems, methods, and computer readable media related to statistical analysis across surgical videos are disclosed. The methods may include receiving video frames across multiple surgical videos, each surgical video comprising multiple surgical procedures performed by a specific medical professional across differing patients. A set of surgical event-related categories may be accessed and video frames of each surgical video may be analyzed to identify surgical events defined by a subgroup of frames. Each subgroup of frames may be assigned to one of the surgical event-related categories to thereby interrelate subgroups of frames from differing surgical procedures to a common surgical event-related category. Statistics may be derived for each surgical event-related category and then aggregated within each category and displayed with the surgical event-related categories for selection.

Abstract: A method comprising: receiving, for each of a plurality of subjects, each having a specified type of cardiovascular or cardiometabolic disease and receiving at least one specified therapy from a set of therapies for treating cardiovascular and cardiometabolic diseases, a first score representing a first genetic predisposition in said subject to respond to one or more of said set of therapies; at a training stage, training a machine learning model on a training set comprising: (i) all of said first scores, and labels associated with a response in each of said subjects to said at least one specified therapy; and at an inference stage, apply said trained machine learning model to a target said first score received with respect to a target subject, to predict a response in said target subject to at least one of said therapies in said set.

Abstract: A peer-review flagging system is operable to receive a medical scan and a medical report written by a medical professional in conjunction with review of the medical scan. Automated assessment data is generated by performing an inference function on the medical scan by utilizing a computer vision model trained on a plurality of medical scans. Human assessment data is generated by performing an extraction function on the medical report. Consensus data is generated by comparing the automated assessment data to the first human assessment data. A peer-review notification is transmitted to a client device for display. The peer-review notification indicates the medical scan is flagged for peer-review in response to determining the consensus data indicates the automated assessment data compares unfavorably to the human assessment data.

Abstract: Some implementations provide a computer-implemented method that includes retrieving, from a customer relationship (CRM) database, data documenting exposures of healthcare professionals to information of healthcare products from more than one channels and at various time points; processing the retrieved data to model the exposure of each healthcare professional such that an effectiveness of each of the more than one channels for the particular healthcare professional is determined; retrieving, from a prescription database, data recording each healthcare professional prescribing healthcare products at various time points; longitudinally associating the processed data from the customer relationship database and the retrieved data from the prescription database such that a multi-channel CRM and prescription database is generated; and, determining a next healthcare professional to whom information of a particular healthcare product should be directed as well as a channel for the next healthcare professional to rec

Abstract: A system and method for documenting medical directives of a patient is presented. This comprises identifying the possible paths required to document the medical directives of the patient. For each path, identifying missing information and required user input to complete the path. Then generating a workflow process for a selected path that comprises collection of missing information, manipulation of user provided data, and identification and generation of required documentation necessary for the completion of the selected path. The workflow process is executed for the selected path and a patient specific token is created to memorialize the execution of the workflow process.

Abstract: Methods, systems, and computer-readable media for generating a personalized action recommendation are provided. The method acquires a request for a service that is associated with a user and the user's condition. The method then identifies one or more features of the user based on stored user information. The method next assigns the user to a segment based on the identified one or more features, generates a set of one or more recommended actions for the user based on the segment, and determines an expected value of each of the one or more recommended actions. The method determines a rank of the one or more recommended actions based on the expected value of each of the one or more recommended actions, and outputs a recommended action with a highest expected value for the user in response to the request for the service.

Abstract: A process for configuring an account for a desktop application uses a central data processing facility to configure a release for a trading partner, which release includes the preferred method of receiving documents and preferred format for the content; configures an intake download by storing settings for how to export and import documents; configures intake rules to determine how to route received documents; installs a Desktop from the web portal onto a local data processing system; and automatically synchronizing the Desktop to the portal. A process for ensuring the secure delivery of information about a patient sends a verification fax sheet to a fax number of a recipient instructing the recipient to go to a website; validates the recipient after the recipient has visited the website; tests the recipient at the website using questions specific to the patient; and sends the confidential information to the fax number if the recipient passes the test.

Abstract: The present system is configured to track informal observations by multiple caregivers about a care recipient and provide actionable feedback to the multiple caregivers for managing health of the care recipient based on the informal observations. Informal caregivers are constantly observing the health and/or wellness of care recipients they provide care for. Within families for example, multiple informal caregivers coordinate the care they provide for a care recipient amongst each other to balance the workload. These caregivers observe the same care recipient often on different occasions, from different perspectives, and with varying levels of subjectivity. Keeping an eye out for abnormal behavior by the care recipient, changes in capabilities of the care recipient, and/or potential disease progression, for example, are pieces of data caregivers commonly observe in an informal, rarely structured way.

Abstract: There is provided a method, apparatus and system for method for tailoring at least one subsequent communication to a user. Data acquired on the user in connection with a plurality of communications to the user is processed to determine a value for one or more characteristics indicative of a state of the user in connection with each communication. At least one communication parameter is varied in respect of each communication. The values for the one or more characteristics indicative of the state of the user that are determined in connection with each communication are compared to identify one or more communication parameters that are most suitable for the user. One or more communication parameters are set for the at least one subsequent communication to the user according to the one or more identified communication parameters. The subsequent communication to the user is enabled based on the set one or more communication parameters.

Abstract: Systems and methods for communicating a dose history configured for representing an average and a variability of a distribution of injections with a blood glucose regulating medicament applied by a subject with a treatment regimen. Past records are obtained from insulin pens applying the treatment regimen. Each record specifies an amount and type of medicament injected, the type being one of a blood glucose regulating medicament, and a timestamp. Assigning single-shape polygons (231) to each record, wherein single-shape polygons (231) is configured for visualizing a polygon (261) with a two-dimensional shape, in a displayed mode. The single-shape polygons are used to create a set of multi-shape data structures comprising corresponding multi-shape polygons (244), configured for visualizing a polygon (265) with a two-dimensional shape, in the displayed mode (260).

Abstract: Various health management systems may benefit from tools for appropriate identification of target patients. For example, various population health management approaches may benefit from systems and methods for optimal health assessment and optimal preventative program development. A method can include obtaining a simple risk measure score for a patient. The method can also include obtaining an evidence-based score for the patient. The method can further include comparing the simple risk measure score to the evidence-based score. The method can additionally include identifying the patient as a target for preventative medicine based on a discrepancy revealed by the comparison.

Abstract: Systems and methods for conducting automated synthetic interactions with a user, such as a patient at home following a medical procedure. A digital coach having a processor and memory initiates a session with a user's interactive device, and presents pre-recorded scripts as video and/or audio through the interactive device. The user's responses are received by the digital coach through the interactive device. Peripheral devices, such as medical devices, may be used by the user or controlled by the digital coach to obtain data measurements regarding the physiological condition of the user. The processor of the digital coach analyzes the data from the user responses and devices, and semantically interprets the responses and data to determine the next action and script to present the user in the session. The digital coach provides a conversational, dynamic, adaptive session with a user based on semantically expanded interpretations of data by the processor.

Abstract: Patient treatment may be optimized using Recurrent Neural Network (RNN) based state simulation and Reinforcement learning (RL) techniques to simulate future states and actions. A RNN state simulator and a RL action generator may be trained using patient data such as historical states and actions. The RL action generator may be optimized by applying the RNN state simulator to simulating future states and applying the RL action generator to generate recommended actions based on the simulated future states. This process may be iteratively performed until a computational convergence is reached by the RL action generator which may indicate that the RL action generator has been optimized. A patient state may be fed into the optimized RL action generator to generate an optimal recommended treatment action.

Abstract: A mechanism is provided to implement a health risk assessment system for adaptively and dynamically generating a personalized questionnaire for health risk assessment of a patient. A set of responses are analyzed and a patient is grouped to an initial group that matches a similar patient group. Utilizing the initial group, an initial question is selected to present to the patient. Responsive to receiving a current response to the initial question, the current response is analyzed, the patient is grouped to a next group, and a next question is identified and presented to the patient. The process continues until a last group is reached where a scoring of possible health risks associated with the patient is performed based on each response provided by the patient and identified groupings. A final possible health risk or ranked set of possible health risks is then presented based on the scoring.

Abstract: A framework for visualization based on healthcare guidelines is described herein. In accordance with one aspect, a decision graph is generated based on healthcare guidelines. The nodes of the decision graph are populated with patient records. The framework may perform data analytics on patient records associated with at least one of the nodes to generate results, and further generate a visualization of the results.

Abstract: A mechanism is provided to implement a health risk assessment system for adaptively and dynamically generating a personalized questionnaire for health risk assessment of a patient. A set of responses are analyzed and a patient is grouped to an initial group that matches a similar patient group. Utilizing the initial group, an initial question is selected to present to the patient. Responsive to receiving a current response to the initial question, the current response is analyzed, the patient is grouped to a next group, and a next question is identified and presented to the patient. The process continues until a last group is reached where a scoring of possible health risks associated with the patient is performed based on each response provided by the patient and identified groupings. A final possible health risk or ranked set of possible health risks is then presented based on the scoring.

Abstract: A method in the field of health related fitness is disclosed for preparing and monitoring a customized exercise prescription based on scientific and concrete data and by activating all of the fitness components, and includes the process steps of dividing the strength component value into three separate sub components as lower extremity strength, upper extremity strength and trunk strength, creating an image of fitness map on the display (screen) which shows the ratios of fitness component values according to the age- and gender-related norms, determining exercise strategy by putting the fitness components of a person in order with respect to their priority of effect to health in accordance with the measurements of fitness components of a person, and preparing an exercise prescription which will provide simultaneous improvement of fitness components of a person.

Abstract: According to some aspects, a system for automatically processing text comprising information regarding a patient encounter to assign medical codes to the text is provided. The system comprises at least one storage medium storing processor-executable instructions, and at least one processor configured to execute the processor-executable instructions to perform analyzing the text to extract a plurality of facts from the text, identifying at least one of the plurality of facts to be excluded from consideration when assigning medical codes to the text, and evaluating each of the plurality of facts, except for the identified at least one fact, to assign one or more medical codes to the text.

Abstract: A system, method and program product, the system comprising: memory comprising one or more non-transitory computer-readable media comprising: a master patient database; an exchange partner database; a sub-network database; and a global identifier database storing a plurality of global identifiers; and one or more computers configured with: an inbound module for receiving incoming request data or results data from an exchange partner, including a sub-process to determine when one of a plurality of methods is identified by the incoming data, a sub-network and/or one or more responding exchange partners, a requested data type, and whether a patient is identified; a sub-process to create when the incoming data is destined for a different exchange partner, a respective communication manager sub-process for each of the one or more or responding exchange partners; an outbound request module that has a multi-level consent determination process, and a sub-process to create, by the one or more computers, a global ident

Abstract: Methods and systems for determining that a medical delivery device has been activated may be provided. According to certain aspects, a user captures a first image to determine if a medical delivery device is ready to be activated. The first image is transmitted to a health care provider which verifies that the medical delivery device should be activated. If the medical delivery device is to be activated, an electronic device instructs the user to activate the medical delivery device. Subsequently, the user transmits details about the activation of the medical delivery device to the health care provider to update a medical record.