Abstract: Presented herein are systems and methods for automated analysis of patient data. More particularly, in certain embodiments, the invention relates to systems and methods for predicting the context of a particular phrase (e.g. the name of a diagnosis/condition) in a clinical record of a patient using a reportability classifier. In another aspect, the invention relates to systems and methods for automatically identifying a potential care gap and/or adverse health trend for a patient from clinical data.

Abstract: According to an embodiment, there is provided a method of providing a metaverse healthcare platform service for non-face-to-face diagnosis and self-management, performed by a device, the method including the steps of: acquiring, when a health state of a first patient is measured through a measuring device for measuring a health state provided in a diagnostic booth, measurement information generated by measuring the health status of the first patient from the measuring device, determining whether non-face-to-face treatment is required for the first patient on the basis of the measurement information, performing control, when it is determined that non-face-to-face treatment for a first treatment subject is required for the first patient, so that a message for guiding to wear an output device is output to a diagnostic booth, performing control, when it is checked that the first patient wears the output device.

Abstract: A survey-based diagnosis method and a system therefor are provided. The survey-based diagnosis method according to several embodiments of the present disclosure enables a diagnosee to be diagnosed on the basis of response information about the diagnosee with respect to a plurality of survey questions. The plurality of survey questions can include questions for diagnosing an energy and blood generation function, an energy and blood circulation function, and an energy and blood balance adjustment function, and the health condition of the diagnosee can be accurately diagnosed by using these questions. In addition, a quick and convenient oriental medicine diagnosis service can be provided using a questionnaire technique.

Abstract: Provided is a method of operating an integrated monitoring server operated by at least one processor, the method including: receiving waveform-type respiratory mechanics information in real time from a ventilator of a patient that is installed at a remote location, and transmitting the real-time received waveform-type respiratory mechanics information to a hospital system connected to the server through a dedicated line or mobile terminals of medical personnel connected to the server through an internet.

Abstract: Systems and methods are provided for determining and communicating patient incentive information to a prescriber. The patient incentive information may adjust the patient copay amount for a prescribed medication. The patient incentive information may be determined by evaluating pharmacy identification information and medication identifiers in a received prescription benefit check transaction and/or adjudicated response to a healthcare transaction to determine if an incentive is available to be applied to the current transaction. The incentive amount may be retrieved and the patient copay amount in the adjudicated response may be amended prior to transmitting the adjudicated response to the prescriber of the medication.

Abstract: An apparatus, including a computer including a database, and a distributed ledger. The computer provides information regarding a care plan and facilitates a video call between a user device and a first provider device. The computer receives, processes, and stores, information regarding the individual or patient in the first electronic healthcare record and a second healthcare record. If the care plan needs to be revised, the computer generates a care plan revision message and transmits the care plan revision message to the first provider device. The computer processes information for creating a revised care plan or receives information regarding a revised care plan, and stores information regarding the revised care plan in the database, the first electronic healthcare record, and the second healthcare record. Information regarding the video call, the information regarding the individual or patient, and the revised care plan, are stored in the distributed ledger.

Abstract: An EHR system is for providing an EHR GUI. The EHR GUI includes a switchable interface area configured to switch between EHR functions. The EHR GUI includes a navigation tab menu adjacent to a first side of the switchable interface area and having navigation tabs for accessing the EHR functions within the switchable interface area, and a patient history tab menu adjacent to a second side of the switchable interface area. The second side is opposite the first side. The patient history tab menu has patient history tabs for accessing different types of historical patient data from the given patient data in the EHR database. The EHR GUI also includes an alert footer menu below the switchable interface area, the alert footer menu having potential medical alerts for the given patient, and a specialist footer menu adjacent to the alert footer menu and having potential specialist notifications.

Abstract: An apparatus, including a memory or database which stores an electronic healthcare record of an individual or patient a comment, note, or message, in advance of a video call, and information regarding an appointment for the video call; a processor which generates an appointment message or reminder message containing information regarding the appointment and a link or hyperlink for initiating the video call, a receiver which receives information regarding the individual or patient during the video call, and receives information input into or entered into a provider communication device or a user communication device, wherein the processor or a computer generates a report regarding the video call; a transmitter, wherein the transmitter transmits the report to the user communication device; and a distributed ledger and blockchain technology system. The report is stored in the electronic healthcare record using the distributed ledger and blockchain technology system.

Abstract: Embodiments described herein provide various examples of a system for extracting an actual procedure duration composed of actual surgical tool-tissue interactions from an overall procedure duration of a surgical procedure on a patient. In one aspect, the system is configured to obtain the actual procedure duration by: obtaining an overall procedure duration of the surgical procedure; receiving a set of operating room (OR) data from a set of OR data sources collected during the surgical procedure, wherein the set of OR data includes an endoscope video captured during the surgical procedure; analyzing the set of OR data to detect a set of non-surgical events during the surgical procedure that do not involve surgical tool-tissue interactions; extracting a set of durations corresponding to the set of non-surgical events; and determining the actual procedure duration by subtracting the set of extracted durations from the overall procedure duration.

Abstract: A risk-based patient monitoring system for critical care patients combines data from multiple sources to assess the current and the future risks to the patient, thereby enabling providers to review a current patient risk profile and to continuously track a clinical trajectory. A physiology observer module in the system utilizes multiple measurements to estimate Probability Density Functions (PDF) of a number of Internal State Variables (ISVs) that describe a components of the physiology relevant to the patient treatment and condition. A clinical trajectory interpreter module in the system utilizes the estimated PDFs of ISVs to identify under which probable patient states the patient can be currently categorized and assign a probability value that the patient will be in each of the identified states. The combination of patient states and their probabilities is defined as the clinical risk to the patient.

Abstract: A payment processor acting on behalf of a third party administrator to make payment on an adjudicated claim makes a straight through payment to an acquirer for a health care provider's merchant account. Via the authorization process, the payment processor generates an authorization code which is returned to the health care provider on its merchant statement for the payment. Concurrently, the remittance advice from the third party administrator is linked to the same authorization code as the payment by the payment processor which sends the advice in an 835-formatted transmission to the health care provider. Thus, the remittance advice may be linked (reconciled) with the payment on the merchant statement by the common authorization code.

Abstract: A method of performing a surgical procedure includes storing a software application on a memory associated with a computer, which when executed by a processor causes the software application to develop a model of a patient's anatomical structure, process images of the patient's anatomy, display the images of the patient's anatomy on a user interface associated with the computer, superimpose critical structures within the patient over the displayed images of the patient's anatomy, determine a location within the patient's body cavity where the images of the patient's anatomy were taken, and display the model of the patient's anatomical structure on the user interface, the displayed model indicating the determined location where the images of the patient's anatomy were taken.

Abstract: A risk-based patient monitoring system for critical care patients combines data from multiple sources to assess the current and the future risks to the patient, thereby enabling providers to review a current patient risk profile and to continuously track a clinical trajectory. A physiology observer module in the system utilizes multiple measurements to estimate Probability Density Functions (PDF) of a number of Internal State Variables (ISVs) that describe a components of the physiology relevant to the patient treatment and condition. A clinical trajectory interpreter module in the system utilizes the estimated PDFs of ISVs to identify under which probable patient states the patient can be currently categorized and assign a probability value that the patient will be in each of the identified states. The combination of patient states and their probabilities is defined as the clinical risk to the patient.

Abstract: The system captures portions of a label on a package in a set of images, reconstructs the label based on the set of images, identifies text in the label, determines associations of identified text and types of information, and stores the set of images, the reconstructed label, the identified text in the label, and the determined associations as, for example, a batch in a review queue. During a review process, the batch is reviewed and a structured prescription record is determined for the batch which is further used by the system and user of the system associated with the batch to provide various features to the user.

Abstract: A method of performing a surgical procedure includes storing a software application on a memory associated with a computer, which when executed by a processor causes the software application to develop a model of a patient's anatomical structure, process images of the patient's anatomy, display the images of the patient's anatomy on a user interface associated with the computer, superimpose critical structures within the patient over the displayed images of the patient's anatomy, determine a location within the patient's body cavity where the images of the patient's anatomy were taken, and display the model of the patient's anatomical structure on the user interface, the displayed model indicating the determined location where the images of the patient's anatomy were taken.

Abstract: A method and system for storing user application programs and micro-service programs, for each of multiple patients that have cancerous cells and receive treatment, includes obtaining clinical records data in original forms, storing it in a semi-structured first database, generating sequencing data for the patient's cancerous and normal cells using a next generation genomic sequencer, storing the sequencing data in the first database, shaping at least some of the first database data to generate system structured data optimized for searching and including clinical record data, storing the structured data in a second database, for each user application program, selecting an application-specific subset of data from the second database and storing it in a structure optimized for application program interfacing in a third database, wherein an orchestration manager operatively connected to one or more micro-service programs receives status messages and initiates a respective micro-service program when program prere

Abstract: Systems and methods may use healthcare protocols for use with distributed ledger technology. The healthcare protocols may be used to, among other things, classify event data items as distributed ledger data items such that record of such classified event data items may be stored in a distributed ledger. Further, the healthcare protocols may be modified over time, and record of such modifications may also be stored in a distributed ledger.

Abstract: The system captures portions of a label on a package in a set of images, reconstructs the label based on the set of images, identifies text in the label, determines associations of identified text and types of information, and stores the set of images, the reconstructed label, the identified text in the label, and the determined associations as, for example, a batch in a review queue. During a review process, the batch is reviewed and a structured prescription record is determined for the batch which is further used by the system and user of the system associated with the batch to provide various features to the user.

Abstract: A method of determining the risk of developing a known disease or condition or of identifying the presence of the known disease or condition in a subject includes obtaining subject data that includes results of blood tests. The blood tests include a basic metabolic panel (BMP) and a complete blood count (CBC) panel. The method further includes classifying the subject data with respect to the risk of the subject having or developing the known disease or condition by using the subject data in a machine learning classification system. The classification system includes a machine learning model previously trained on BMP and CBC data from a positive group of training subjects who received a diagnosis of the disease or condition and from a negative group of training subjects who were not diagnosed to have the disease or condition.

Abstract: A clinical data interface device provides integrated portions of the electronic medical record system to identify and confirm a patient file for receiving data and personality modules for receiving and translating data from a variety of clinical device monitors for that identified patient.