Abstract: A computing device may include a memory and a processor configured to cooperate with the memory to establish member sharing accounts for respective members of a virtual share exchange (VSE) for sharing payment of member healthcare bills across the member sharing accounts, where the members have different attributes associated therewith. For a member healthcare bill associated with a given member, the processor may calculate respective attribute scores for the other members of the VSE based upon similarities between the attributes of the other members and the attributes of the given member, rank the member sharing accounts for payment sharing of the member healthcare bill based upon the calculated attribute scores, and electronically transfer funds between the member sharing accounts for payment sharing of the member healthcare bill based upon the ranking of the member sharing accounts.

Abstract: A method and system for connecting, capturing, managing and predicting outcomes for an improved care for home based patients by collecting data from caregivers and home-based patients. The method and system implemented as a mobile technology is more efficient and effective method for delivering healthcare that will ease the caregiving burden. Providing resources and information to communicate, capture and deliver by the caregivers (formal and informal), patients and healthcare providers communicate helps integrate essential data and care. Through the use of this mobile technology and associated devices vital information from informal caregivers, which is currently not regularly used in remotely located patients, can be captured and implemented in the decisions and adjustments to patients' care plans. In addition, the technology helps with adherence of patient specific treatment guidelines for home-based patients.

Abstract: A system includes: a processor; a memory coupled to the processor, wherein the memory stores a first content; a medical device coupled to the processor; and a reader coupled to the processor, wherein the reader is configured to read a second content from a storage medium other than the memory such that the processor switches the medical device from a first mode to a second mode based on the first content corresponding to the second content.

Abstract: An automated laboratory system for processing biological samples in a batch type manner is disclosed. In one embodiment, the system may receive assay instructions for biological samples processing among a plurality of devices. The devices may include a pre-analytical instrument and one or more analysis systems. The system may include an orchestration core application for determining an order of performance for the assays ordered for the samples.

Abstract: Processing patient information and other treatment plan information may require access to a patient profile and other third parties involved in the patient treatment plan. One example method includes selecting a treatment plan for a patient comprising a set of treatment information, linking an application identifier and a T-code identifier to the treatment plan, launching a treatment plan application, retrieving the set of treatment information, populating the treatment plan application with the set of treatment information, triggering a message dispatch in accordance with the treatment plan, the message dispatch including a query to a health related issue to determine a patient status and receiving a patient response to the message.

Abstract: Certain aspects of the present disclosure provide techniques for wound management and treatment. This includes determining characteristics of a wound for a patient based on an image of the wound, including detecting the characteristics based on analyzing the image using a first ML model trained to detect wound characteristics from a captured image. The techniques further include identifying patient medical data including characteristics relating to a medical history for the patient, and predicting a first care plan for the patient based on providing the characteristics of the wound and the patient medical data to a second ML model. The second ML model is trained to predict the first care plan using prior wound care outcome data including a prior wound care outcomes relating to prior patients. The first care plan is configured to be used to treat the wound for the patient.

Abstract: A system for customizing treatments. The system includes a computing device configured to record a user biological extraction containing an element of user physiological data. The computing device is configured to receive condition state training data and generate a condition state model utilizing a first machine-learning algorithm. The computing device is configured to calculate a condition state label using the condition state model. The computing device is configured to select a treatment model utilizing the condition state label. The computing device is configured to generate a treatment model and output a plurality of treatments utilizing the treatment model.

Abstract: A system includes one or more processors to receive a representation of a document from a client computing device, the document comprising one of a scanned document, a faxed document, and an electronic document, determine a document type of the document based at least on the representation of the document, index the document using a classification and index processing engine based on the document type, the document type comprising at least one of a plurality of document types used by an electronic health record (EHR) system, extract index data from the document based on the document type using the classification and index processing engine, and match the document with a patient from a database of the EHR system using the index data when the classification and index processing engine successfully indexes the document and extracts index data from the document.

Abstract: Methods and systems for classifying and editing insurance claims records are described. In one embodiment, a method, which can be performed by a processor, includes receiving an insurance claim record having a plurality of medical service codes, retrieving a first of a plurality of edit tables from a database, determining whether one of the plurality of medical service codes in the record matches one of a plurality of core identifier values stored in the first of the plurality of edit tables, retrieving a second of the plurality of edit tables from the database, determining whether a number of the plurality of medical service codes in the record match a plurality of confirmation values stored in the second of the plurality of edit tables, and editing the insurance claim record by including a genetic panel test medical service code in the insurance claim record.

Abstract: A system for monitoring drug delivery including a container having a medicine, the medicine associated with a patient and a code on an outside of the container. The system also including a user device having a camera and software executing on a computer readable medium for initiating recording of a video with the camera, prompting the patient to show the code in the video and show the taking of the medicine in the video. The system further includes a computer receiving the video, the computer having a datastore with a plurality of profiles, one of the plurality of profiles being a patient profile associated with the patient and software executing on a computer readable medium for storing the video, verifying the association of the medicine and the patient, identifying movement in the video, and generating a score indicative of the likelihood the medicine was taken by the patient.

Abstract: A method is disclosed for generating treatment plans for optimizing patient outcome and monetary value amount generated. The method includes receiving a set of treatment plans that, when applied to patients, cause outcomes to be achieved by the patients, receiving a set of monetary value amounts associated with the set of treatment plans, receiving a set of constraints, where the set of constraints comprises rules pertaining to billing codes associated with the set of treatment plans. The method includes generating, by the artificial intelligence engine, optimal treatment plans for a patient, where the generating is based on the set of treatment plans, the set of monetary value amounts, and the set of constraints. Each of the optimal treatment plans complies with the set of constraints and represents a patient outcome and an associated monetary value amount generated. The method includes transmitting the optimal treatment plans to a computing device.

Abstract: A method for generating, by an artificial intelligence engine, a treatment plan and a billing sequence associated with the treatment plan is disclosed. The method includes receiving information pertaining to a patient. The information includes a medical diagnosis code of the patient. The method includes generating, based on the information, the treatment plan for the patient. The treatment plan includes instructions for the patient to follow. The method includes receiving a set of billing procedures associated with the instructions. The set of billing procedures includes rules pertaining to billing codes, timing, constraints, or some combination thereof. The method includes generating, based on the set of billing procedures, the billing sequence for at least a portion of the instructions. The billing sequence is tailored according to a certain parameter. The method includes transmitting the treatment plan and the billing sequence to a computing device.

Abstract: A computer-implemented method including receiving, at a processing device of a disease risk calculation server, a request from a user mobile device for a disease risk calculation and including an answer, determining at the processing device, diseases the user is likely to contract, providing, from the processing device, the determined diseases, receiving, at the processing device, a user selection of a disease that user is likely to contract, providing, from the processing device, a question related to a proven risk factor of the user selected disease, receiving, at the processing device, a user answer, calculating, at the processing device, a risk that the user will contract the selected disease, providing, from the processing device, the calculated risk to the mobile device, and receiving and processing electronic payment from the user device after receipt by the user mobile device of the calculated risk, the electronic payment being governed by blockchain technology.

Abstract: An apparatus, a process and a system for monitoring a plurality of patients (P) affected by kidney failure over a time frame (T) are disclosed. The system includes blood treatment units, laboratory storage units, at least one hub module, and client units. The system collects values (VM) of a plurality of session parameters, set values (VS) of a plurality of prescription parameters, values (VL) of a plurality of laboratory parameters and the hub module stores values (KPVi) of selected parameters (KPi) which are a subclass of the collected values (VM, VS, VL) and which are transferred to the client units. Each client unit may define, for each of said patients, a number of indicators (IDk) based on the values (KPVi,k) taken by a respective subclass (KPi,k) of said selected parameters (KPi) and to operate the respective display according to various display modes.

Abstract: A medical information terminal for input and display of medical information of a patient comprises a position information obtaining unit that obtains position information of the medical information terminal, an information concealing level setting unit that sets an information concealing level for description contents of each item of the medical information, and an information concealing unit that determines an information display threshold value indicating a threshold value at which the description contents of each item are displayed according to the position information obtained by the position information obtaining unit and conceals the description contents of each item if the information concealing level of each item of the medical information is at the information display threshold value or more.

Abstract: A method and arrangement for determining measurements that need to be registered are disclosed. The method retrieves a plurality of clinical reports, detects a measurement in each of the plurality of clinical reports, and determines which of the detected measurements have been registered in a defined structured format. A method also identifies a plurality of patients with scheduled future clinical exam, determines if any of the plurality of patients have measurements that require registration and places the plurality of patients with the measurements requiring registration on a worklist. A further method retrieves data for a plurality of patients, determines whether each of the patients have new measurements, determines, for each of the patients, whether the new measurements have been registered, identifies a radiologist for each of the new measurements and generates a compliance scorecard for each of the radiologists.

Abstract: Embodiments of the present technology pertain to methods and systems for a voice based, intelligent, augmented reality (AR) based on-demand medical assistant receiving health data of a user using medical testing equipment.

Abstract: One of the key challenges in healthcare and personal care industries is arriving at an optimum delivery vehicle and formulation which can deliver a specified active molecule to an intended site of action with minimal or no side effects. This disclosure relates to method of designing and testing of a vehicle and formulation for delivery of an active molecule. A plurality of inputs is processed to generate plurality of drug delivery routes. The vehicle associated with formulation is designed based on plurality of parameters associated with the active molecule and the plurality of drug delivery routes. The designed vehicle associated with the formulation on an in-silico model of corresponding chosen drug delivery route is tested to obtain data associated with delivery of the active molecule. The data associated with delivery of the active molecule is reiteratively processed to obtain a desired data associated with the delivery of the active molecule.

Abstract: Disclosed are methods and systems to aid medical practitioners with clinical decisions, in which recommendations and other information are derived utilizing a software reinforcement learning framework relating patient information to medical experiential case-files. The decision guidance systems and methods are applicable to medical and other applications.

Abstract: A device that holds a medical dictionary indicating medical concepts, drug information, medical care information and documents indicating a medical concept not included in the medical care information, identifies from the documents, for each combination of a medical concept not included in the medical care information and a drug included in the drug information, a document indicating the medical concept and the drug. The device generates a medical concept list including the medical concept indicated by the medical dictionary included in each identified document and determines, based on a probability of each medical concept not included in the medical care information appearing in a context of the document indicated by the medical concept list, from among the medical concepts not included in the medical care information, a medical concept having an influence on a prescription of the drug included in the drug information.