Abstract: Systems and methods for dynamically scheduling a claim review are provided. A request to display an instance of a claim review is received, the request generated by a user in a plurality of users associated with a first or second entity. The instance of the claim review includes claims by a plurality of claimants, each claim associated with both the first and second entity. Responsive to the request, a customizable template specifying an order and subset of the claims in the instance of the claim review is applied. Each claim is accessed, in electronic form, from one or more data stores, to acquire a summary of the respective claim. A customizable user interface is displayed, including a completion status for the claim review, the summary of each claim, a first affordance for updating the completion status, and a second affordance for updating a criterion.

Abstract: The present invention relates, in general, to systems and methods that allow medical providers to electronically share medical data with other providers, and where the medical data is organized or classified upon receipt using mapping and/or machine learning techniques. The present invention further facilitates clinical decision support functions such as appropriate use assessments, treatment decision-making, pharmaceutical research support functions, as well as clinical trial qualification functions.

Abstract: A server apparatus includes a communication interface and a controller configured to communicate using the communication interface. The controller is configured to receive information for identifying a patient from a terminal apparatus and output, on a condition that a total examination time is equal to or less than a travel time for a travel route of the patient, information to one or more medical examination vehicles that each provide a medical examination for one or more examination items on which the patient has not yet been examined, the information being for causing the one or more medical examination vehicles to travel the travel route.

Abstract: A computing system can obtain health record data of a user from a number of health record sources, and generate, on a computing device of the user, an interactive user interface comprising prepopulated data based on the health record data. Based on interactions by the user on the interactive user interface, the system can receive input data from the computing device of the user, the input data corresponding to health-related information provided by the user. Based on at least one of the health record data or the input data, the system can generate a set of health outcome predictions for the user, and based on the set of health outcome predictions, the input data, and the health record data, the system can generate a set of health care plan rankings for the user.

Abstract: An automated diagnosis method executed by one or more computing devices including: a) receiving one or more data inputs inputted by a user into a user computing device; b) converting data from the one or more data inputs into stored data by one or more processors and storing within one or more storage mediums; c) determining one or more severity indexes based on the stored data with the one or more processors; d) predicting a presence of one or more medical conditions based on the one or more severity indexes by the one or more processors; and e) identifying a presence, an absence, or both of the one or more medical conditions by the one or more processors and transmitting for output to the user computing device.

Abstract: A method of monitoring a medical treatment device includes detecting a sound of the medical treatment device with a detection device, determining whether the sound is an irregular sound, and deploying an intervention upon determining that the sound is the irregular sound.

Abstract: A fashion show matchmaking virtual incubator system based on metaverse, and a method thereof are disclosed. A matchmaking database host stores a fashion show item and a matchmaking message, and a server-end device performs a virtual incubator platform. When a user logs in a platform, the server-end device drives a display device to display the 3D virtual fashion display space and the fashion show item. When detecting that the user selects the show item and corresponding matchmaking message, the server-end device generates a design commission request for the user to edit, transmits the design commission request to an order taking device. After the order taking device transmits back a design result, the server-end device displays the design result. After the user confirms, the server-end device displays the purchasing message and generates an order message to perform purchase, thereby improving convenience and efficiency of matchmaking transactions.

Abstract: Systems and methods of the present disclosure enable improved natural language processing of patient-related medical information for clinical decision support. To do so, a processor receives patient data including a written report, and accesses a dictionary of terminology associated with a disease. The terminology includes descriptors indicative of categories of the disease. The processor inputs the written report into a tokenization function to output tokens by parsing word patterns in the written report, and generating the tokens from the word patterns. The processor determines a presence in the written report of each descriptor based on the tokens and determines a category-specific score associated with each category based on the presence of the descriptors. The processor determines a category recommendation score indicative of a particular category based on the category-specific scores and generates a category recommendation representing the particular category based on the category recommendation score.

Abstract: A system and method for detecting and predicting surgical wound infections is disclosed. The method includes receiving wound site data, ambient data, reference site data and auxiliary data from one or more wearable devices, one or more sensing units or a combination thereof, a patient history data from electronic health record database, patient assessment data from a clinical professional, information associated with a patient from the patient or any combination thereof. The method further includes determining one or more desired parameters and extracting one or more features from the one or more desired parameters. The method includes applying the extracted one or more features into a trained Artificial Intelligence (AI) based data model and a trained statistical model for the patient. Further, the method includes detecting presence of an infection, predicting likelihood of infection and generating a wound infection score.

Abstract: A system and method is provided for generating simulated dialysis treatment files. For instance, a computing device may obtain information such as general patient information, dialysis prescription information, and dialysis treatment information. The computing device may generate a dialysis treatment file based on the obtained information, and use the dialysis treatment file to verify and test an enterprise system. For instance, the generated dialysis treatment file may be used to ensure the enterprise system is functioning properly.

Abstract: A system for performing cryoablation treatments includes at least one computing device that is configured to obtain cryoablation operating information from one or more sensors coupled to a cryoablation treatment apparatus and to obtain patient information from one or more patient monitoring apparatuses. The computing device also obtains ice formation information characterizing one or more characteristics of an iceball produced by the cryoablation treatment apparatus and compares the ice formation information to an ice formation plan. If the ice formation information differs from the ice formation plan, the computing device adjusts one or more operating parameters of the cryoablation treatment apparatus.

Abstract: An integrated data repository may be generated that includes genomics information and health insurance claims data information for a common group of individuals. A data processing pipeline may be implemented with respect to information stored by the integrated data repository. The data processing pipeline may include a number of sets of data processing instructions that are executable to analyze specified information stored by the integrated data repository and generate different datasets. The datasets may be analyzed to determine an impact of characteristics of individuals and/or an amount of impact of treatments provided to individuals in which a biological condition is present.

Abstract: Techniques for obtaining health data from a health kiosk information system and notifying users according to pre-registered notification rules are provided. In one technique, a computing system (1) receives, over one or more computer networks, from a health kiosk information system, healthcare data including at least a healthcare value that is obtained by one or more health kiosks that are managed by the health kiosk information system, the health kiosk information system being distinct from the computing system; (2) reads, from a memory, notification rule data including a condition to be notified and a notification destination, the condition corresponding to the healthcare value; (3) determines whether the healthcare value that is included in the healthcare data is applicable to the condition included in the notification rule data; and (4) in response to determining that the healthcare value is applicable, sends a notification to the notification destination.

Abstract: Systems and methods are provided for perioperative care in a medical facility. In an example, a system includes a display and a computing device operably coupled to the display and storing instructions executable to: determine each of an Adequacy of Anesthesia (AoA) protocol usage and an AoA protocol compliance based on medical device data received from one or more medical devices and parameters for an AoA protocol; and output, to the display, a graphical user interface (GUI) that includes an AoA protocol usage indication generated based on the determined AoA protocol usage and an AoA protocol compliance indication generated based on the determined AoA protocol compliance.

Abstract: An ambulance service support device receives biological information to be used for personal identification of a person to be transported. The ambulance service support device identifies, using a database storing personal medical information, the personal medical information of the person to be transported by using the acquired biological information. The personal medical information is personal information regarding medical care including the biological information. The ambulance service support device outputs emergency support information obtained from the identified personal medical information.

Abstract: A health management system includes one or more processors configured to receive sensor data from one or more sensors disposed at a residence of a user. The sensor data is indicative of one or more conditions at the residence. The one or more processors are configured to determine a health of the user based on the one or more conditions, determine one or more actions configured to improve the health of the user based on the one or more conditions, and provide, via a device of the user, a notification indicative of the one or more actions.

Abstract: Aspects of the present disclosure are directed to a cognition analysis and response system that can A) identify and classify machine learning training data and use the training data to build a cognitive impairment machine learning model; B) identify cognitive impairments by applying the cognitive impairment machine learning model and performing a false positive/false negative analysis; and C) apply various automated adaptive measures for users with identified cognitive impairment. The cognition analysis and response system can generate training data by using an unsupervised training process and verifying results with validations of training items that have been pre-classified. The cognition analysis and response system can then iterate through each set of inputs paired with cognitive impairment classification, applying a machine learning model and updating the model based on a comparison of the model output to the cognitive impairment classification.

Abstract: A Secure Transaction System can receive a request to initiate a transaction from a payment application. The request can include merchant information obtained from a QR code generated for a merchant. The Secure Transaction System can search a merchant storage resource for corresponding contact information for the merchant identified by the merchant information and communicate a password over a communication channel using the contact information for the merchant. The password sent to the merchant can be provided to the payment application in some manner and the payment application can communicate the password to the Secure Transaction System, which determines whether the verification information satisfies conditions with respect to the password for the merchant and communicates confirmation to the payment application that the transaction can proceed when the verification information satisfies the conditions.

Abstract: The present disclosure relates to methods of treating or ameliorating hepatic encephalopathy (HE), including assessing the severity of HE in a patient suffering from HE, or the determining the presence or occurrence of an overt hepatic encephalopathy event. In particular, some aspects of the methods use a novel Hepatic Encephalopathy Staging Tool (HEST), which includes a set of criteria to categorize the HE into different stages and provide guidance on effective treatments based on the severity of the HE. Other aspects of the methods use an Overt Hepatic Encephalopathy Screening Tool (O-HEST) to determine whether an OHE event is occurring or has occurred and provide guidance on proper medical attention and change in treatment.

Abstract: Methods, non-transitory computer readable media, and surgical computing devices are illustrated that improve surgical planning using machine learning. With this technology, a machine learning model is trained based on historical case log data sets associated with patients that have undergone a surgical procedure. The machine learning model is applied to current patient data for a current patient to generate a predictor equation. The current patient data comprises anatomy data for an anatomy of the current patient. The predictor equation is optimized to generate a size, position, and orientation of an implant, and resections required to achieve the position and orientation of the implant with respect to the anatomy of the current patient, as part of a surgical plan for the current patient. The machine learning model is updated based on the current patient data and current outcome.