Abstract: Embodiments are directed to an interactive text message based coaching program. A computer system generates customized messages for a first user containing information related to a health-related campaign program. The computer system generates the messages via a user interface in response to user-input provided by a second user. Messages are included in interaction components that include a user-specified link that logically connects the interaction component to another interaction component in a decision tree. The decision tree defines a sequence of messages to be sent to the first user. For example, a next message of the sequence can be based on a response from the first user to a previous message of the sequence.

Abstract: In some examples, user models are generated to represent experience of users with respect to their roles. Models that represent conditions are also generated. As part of generating a support element for a particular user, a triggering event is detected (e.g., an update to a user record), a condition is identified, a condition model and a user model are compared to identify a condition preparedness score. This score is used to generate the support element, which is shared with a user device of the user.

Abstract: Multi-state engagement with continuous glucose monitoring (CGM) systems is described. Given the number of people that wear CGM systems and because CGM systems produce measurements continuously, a platform that provides a CGM system may have an enormous amount of data. This amount of data is practically, if not actually, impossible for humans to process. In implementations, a CGM platform includes a data analytics platform that obtains packages of glucose measurements provided by a CGM system and also obtains additional data associated with a user. The data analytics platform generates state information for the user by processing these CGM packages and the additional data, at least in part, by using one or more models. Based on this state information, the data analytics platform controls communication with the user, which may include generating intervention strategies to prevent users from transitioning to a negative state such as discontinuing use of the CGM system.

Abstract: Systems and methods for estimating quantitative histological features of a subject's tissue based on medical images of the subject are provided. For instance, quantitative histological features of a tissue are estimated by comparing medical images of the subject to a trained model that relates histological features to multiple different medical image contrast types, whether from one medical imaging modality or multiple different medical imaging modalities. In general, the trained model is generated based on medical images of ex vivo samples, in vitro samples, in vivo samples or combinations thereof, and is based on histological features extracted from those samples. A machine learning algorithm, or other suitable learning algorithm, is used to generate the trained model. The trained model is not patient-specific and thus, once generated, can be applied to any number of different individual subjects.

Abstract: An amount of glycemic dysfunction associated with mis-timing (e.g., delay) of meal boluses based on replay analysis is determined. The amount of dysfunction of historical or estimated bolusing as compared to an optimally timed bolus based on the replay analysis is quantified and visualized. Inferences may be made about diabetes meal management regarding inputs from a patient.

Abstract: A computer-implemented trading platform, system, and method are provided for facilitating the trading and accounting for health quality offsets. So-called “health quality credits” related to emissions of ‘potentially avoidable complications’ (PACs) or ‘potentially avoidable mortality’ (PAMs). Emissions trading or “cap-and-trade” is an administrative approach used to control emissions that degrade public-goods assets by providing economic incentives for achieving and sustaining economically significant reductions in the emissions of pollutants that impair public goods such as clean air or health.

Abstract: Systems, methods and computer-readable media are provided for determining the likelihood of a presence or absence of one or more patient conditions based on unstructured text data from the electronic health records, which may accrue during the routine provisioning of care services. In particular, embodiments described herein use structural topic modeling (STM) to assess the textual information as to topical or concept-oriented expressions they contain that are statistically similar to those associated with various clinical conditions or diagnoses; to identify which condition- or diagnosis-oriented clusters the present texts most closely resemble, if any; and to notify the responsible clinicians of those determinations, suggesting consideration of those conditions or diagnoses as part of the constellation of differential diagnoses pertinent to the management of the patient.

Abstract: A false positive removal engine is provided. The false positive removal engine receives detected objects in one or more images. A machine learning classifier computer model, configured with first operational parameters to implement a first operating point, processes the received input to classify each detected object as being a true positive or a false positive to generate a first set of object classifications. If the first set is empty, the false positive removal engine outputs the first set as a filtered list of objects; otherwise the ML classifier computer model is configured with second operational parameters to implement a second operating point, different from the first operating point, which then processes the received input to classify each detected object and generate a second set of objects classified as true positive, which is output by the false positive removal engine as the filtered list of objects.

Abstract: Devices, systems, and methods for providing per-procedure pricing for a product are disclosed. A system includes a facility monitoring system having one or more data gathering devices collecting data pertaining to use of a plurality of units of the product over a period of time. The system also includes a product provider system communicatively coupled to the facility monitoring system and including a determination device that receives the data and determines a total average number of units per procedure for the product, the determination device including a machine learning component trained to determine an expected number of units per procedure and determine a plurality of pricing tiers that establish a price is used to calculate an adjusted per-procedure price for the product over the period of time, the determination device issuing a rebate if the adjusted per-procedure price is less than an upfront cost paid.

Abstract: The technologies described herein are generally directed to facilitating operation of a health network control system. In accordance with one or more embodiments, systems described herein can include a processor, and a memory that can store executable instructions that, when executed by the processor, can facilitate performance of operations that can include facilitating receiving, from transceiver of a second device, a first signal that can describe an event related to treatment of the treatment subject. Further, the operations can include, based on an analysis of the subject information, the event information and facility information representative of a group of treatment facilities, selecting a treatment facility that can perform the treatment of the treatment subject, resulting in a selected treatment facility, and facilitating communicating via a second signal to the transceiver of the second device, selected facility information corresponding to the selected treatment facility.

Abstract: This document presents devices, systems, and their methods of use for authenticating, evaluating, adjusting, and/or submitting a claim to a third-party obligator. The system may include a client computing device such as a cellular phone, having a downloadable application running thereon. The application running on the client computing device may be configured for generating an interface into which a characterization of treatment to be provided from a healthcare provider to a patient having a third party obligation agreement may be entered, where the obligation agreement includes terms defining coverage for treatments to be provided that will be covered by the agreement. As such, the system may be used to generate a claims submittal packet on behalf of the health care provider for reimbursement from the third party obligator for the treatments provided to the patient by the healthcare provider.

Abstract: An information processing apparatus according to an exemplary embodiment includes a likelihood acquisition unit, a first evaluation unit, a determination unit, and a second evaluation unit. The likelihood acquisition unit is configured to acquire class likelihood for first medical data given a correct answer label, by using a first classifier for classifying medical data. The first evaluation unit is configured to evaluates a degree of deviance based on the class likelihood acquired by the likelihood acquisition unit and a class answer corresponding to the correct answer label. The determination unit is configured to determine whether the degree of deviance by the first evaluation unit satisfies a predetermined criterion. The second evaluation unit is configured to, based on second medical data satisfying the predetermined criterion, out of the first medical data, evaluate a similarity between the second medical data and third medical data to be subjected to classification.

Abstract: Systems and methods are provided for automating the process of automatically determining appropriateness of surgical team services performed during a medical procedure. Clinical resource data with known surgical guideline indicator (SGIs) may be us used to generate and store a mapping of medical procedure codes to indications of the appropriateness of surgical team services corresponding to the medical procedure codes. A medical bill associated with an insurance claim may be analyzed to extract a medical procedure code corresponding to a surgical procedure, and an automated adjudication recommendation for the medical bill may be made based on the mapping between medical procedure codes and SGIs.

Abstract: A novel system and method for processing location data are disclosed. An exemplary method includes receiving location data from a remote device, associating the location data with a particular subscriber, augmenting the location data in one of a plurality of predetermined ways based on information associated with the particular subscriber to produce augmented location data, and providing the augmented location data to the subscriber. In a more particular embodiment, the step of augmenting the location data includes retrieving a subscriber file associated with the subscriber and performing one or more augmentation processes on the location data based at least in part on the subscriber file. An example system includes both a remote device operative to transmit location data and a central station for performing the methods of the present invention.

Abstract: A system for supporting on the use of an injection device includes a display and a processor configured to determine the injection device, to obtain data on use of the determined injection device and to add at least one overlay on the display, wherein the at least one overlay is generated depending on the obtained data on use of the determined injection device. The processor is configured to adapt the at least one overlay depending on a context of application of the injection device, the context of application of the injection device including at least one of the following: ambient light; time; date; temperature; use history of the injection device; drug; injection site; dosage.

Abstract: A system and method for locating nearby attended delivery/pickup locations with a particular item in stock is described. The system receives a request from an individual to purchase a particular item from an on-line retailer. The system receives information associated with attended delivery/pickup locations, including location and inventory information. The system then determines which (if any) attended delivery/pickup locations (e.g., the attended delivery/pickup locations are not the on-line retailer) are near the individual and have the particular item in stock and notifies the individual. In various embodiments, the system enables the user to purchase or reserve the particular item at the particular attended delivery/pickup location.

Abstract: An equipment locating system includes a plurality of medical apparatuses required for patient treatment and having equipment tags. A real-time locating system is configured to determine a location of each of the plurality of medical apparatuses by receiving a signal from the equipment tags. The caregiver selects a medical apparatus from an apparatus list when the medical apparatus is acquired so that the medical apparatus is tagged as being checked out.

Abstract: The present disclosure pertains to a system for facilitating configuration modifications for a patient interface computer system based on risk of readmission of the patient. In some embodiments, the system obtains (i) patient demographics information associated with a patient, the patient previously having been admitted at a facility of a first type, (ii) disease information associated with the patient, and (iii) facility information associated with a facility of a second type, the facility information including one or more facility-specific factors associated with the facility of the second type. The system determines a risk of readmission to a facility of the first type for the patient based on the obtained patient demographics information, the disease information, and the facility information. The system causes a configuration of the patient interface computer system to be modified based on the determined risk of readmission.

Abstract: Systems and methods for tracking activities from a plurality of multimodal inputs are described. Activity tracking can include receiving a plurality of multimodal inputs, synchronizing the plurality of multimodal inputs, generating segments from the synchronized multimodal inputs, recognizing activities associated with each generated segment by performing a bagged formal concept analysis (BFCA), and recording the recognized activities in a storage. Tracking of activities can include the detection of moments (e.g., eating moments), during which an activity tracking application can prompt a user for information (e.g., a food journal).

Abstract: In one embodiment, a medical data processing apparatus includes processing circuitry. The processing circuitry obtains medical data relating to a subject, and outputs medical diagnostic image data obtained by performing predetermined processing on the medical data, along with standardized medical image data based on the medical data, the standardized medical image data being standardized for machine learning without performing part or all of the predetermined processing.