Abstract: An example of a system for post-case analysis of cardiopulmonary resuscitation (CPR) performance trends includes a ventilation metrics device with sensors configured to generate signals indicative of ventilation treatment data during a medical treatment of a patient, and a patient monitor/defibrillator configured to receive the signals, calculate the ventilation treatment data based on the received signals, and transmit the ventilation treatment data, and a remote computing device configured to communicatively couple with the treatment monitoring system and with an output display device, the computing device including at least one memory and at least one processor communicatively coupled to the memory, the at least one processor configured to receive treatment data from the treatment monitoring system, the treatment data including the ventilation treatment data, and provide case review information at a case review dashboard at the output device, the case review information including time trend plots of the ve

Abstract: Apparatus and associated methods relate to management of therapeutic digital assets in a non-medical environment. In an illustrative example, non-medical digital asset(s) (NMDAs) may be evaluated relative to one or more therapeutic modalities. A corresponding therapeutic digital asset (TDA) may, for example, be generated for each therapeutically associated NMDA. The TDA may, for example, be traceably associated with corresponding risks and/or risk mitigations. Each TDA may be associated, for example, with a test profile corresponding to a risk and/or risk mitigation. A TDA may be released into a non-medical digital content delivery environment (DCDE), for example. The TDA may, for example, be monitored in the DCDE to maintain verification and/or validation (VV). A change in the DCDE affecting VV of the TDA may, for example, result in deactivation of the TDA in the DCDE. Various embodiments may advantageously permit VV of selected digital assets in a non-medical environment.

Abstract: An acute kidney injury predicting system and a method thereof are proposed. A processor reads the data to be tested, the detection data, the machine learning algorithm and the risk probability comparison table from a main memory. The processor trains the detection data according to the machine learning algorithm to generate an acute kidney injury prediction model, and inputs the data to be tested into the acute kidney injury prediction model to generate an acute kidney injury characteristic risk probability and a data sequence table. The data sequence table lists the data to be tested in sequence according to a proportion of each of the data to be tested in the acute kidney injury characteristics. The processor selects one of the medical treatment data from the risk probability comparison table according to the acute kidney injury characteristic risk probability.

Abstract: There is provided a method and a system for determining recommended multiple daily injections (MDI) therapy values for administering to a given subject. Consumed meals, insulin basal doses administered and insulin bolus doses administered to the given subject are received. An initial meal ratio parameter and an initial basal insulin dose used by the given subject are received. A predicted glucose concentration parameter is determined based on the consumed meals, the insulin basal dose, the insulin bolus doses, and the initial meal ratio parameter. An actual glucose concentration parameter is received. A set of optimal MDI therapy parameters are estimated using the predicted glucose concentration parameter, and the actual glucose concentration parameter.

Abstract: Systems, methods and computer-readable media are provided for facilitating clinical decision support and managing patient population health by health-related entities including caregivers, health care administrators, insurance providers, and patients.

Abstract: An at-home medical diagnostic test kit container including a plurality of at-home medical diagnostic test kits is provided herein. In particular, the medical diagnostic test kit container may include a machine-readable code (e.g., QR code) configured to facilitate an augmented reality experience associated with the at-home medical diagnostic test kit container. In some embodiments, a testing and diagnostic platform may facilitate tracking of inventory within the at-home medical diagnostic test kit container and/or may facilitate coordination of prescription medication order fulfillment and delivery upon indication of a medical condition that could benefit from taking prescription medication.

Abstract: A system configured to receive health data pertaining to a user; select a user health profile from a plurality of user health profiles based on the collected health data, each of the plurality of user health profiles being associated with a health and wellness program and a set of interventions; receive user activity data and updated health data pertaining to, or during the user's participation in the associated health and wellness program from health devices; select a new set of interventions based on the user activity data; and select a new user health profile from the plurality of user health profiles based on at least one of the user activity data and the updated health data.

Abstract: Provided is a system and method for determining an appropriate dosage of a product. The method includes, receiving from a User a User Request for a Dosage, the User Request including at least a User Reason and a User Location; accessing a Database of Products, each Product having at least one Constituent, at least one Established Reason, a Dosage for each Established Reason, and Provider Location; querying the Database of Products with the User Request to determine at least a first subset of Products having the at least one Established Reason correlating to the User Reason; and providing the User with the first subset of Products arranged by proximity of the Provider Location to the User Location, the first subset of Products further including the Dosage for each Product in the first subset of Products. An associated system is also provided.

Abstract: The present disclosure relates to systems and methods for controlling physiological glucose concentrations in a patient.

Abstract: The development of artificial pancreas (AP) technology for deployment in low-energy, embedded devices is contingent upon selecting an efficient control algorithm for regulating glucose in people with type 1 diabetes mellitus (T1DM). The energy consumption of the AP can be lowered by reducing updates of the control model: the number of times the decisionmaking algorithm is invoked to compute an appropriate insulin dose.

Abstract: A system, including a memory storing instructions and a processor configured to execute the instructions is provided. The instructions executed by the processor cause the system to retrieve a diagnostic information for a patient, to retrieve a physician information for a physician in charge of the patient, and to determine an anticipated medication prescription for the patient based on the diagnostic information, the physician information, and a medication prescribing pattern stored in the memory. A method for using the system and a non-transitory, computer readable medium including the instructions are also provided.

Abstract: A patient case may be evaluated whenever new information is received or as scheduled. Evaluation may include resolving a Diagnosis-Related Group (DRG) code and determining a CDI scoring approach based at least in part on a result from the resolving. Resolving a DRG code may include determining whether a DRG code is associated with the patient case. If no DRG code is found, the system may search for an International Classification of Diseases code or ask a user to select or assign a DRG code. Using the determined CDI scoring approach, a first score may be generated and adjusted by at least one of length of stay, documentation accuracy, payer, patient location, documentation novelty, review timing, case size, or documentation sufficiency. The adjusted score may be normalized and presented to a CDI specialist, perhaps with multiple CDI scores in a sorted order.

Abstract: A method, computer system, and computer program for improving communication between a patient and a provider are described. The method, computer system and computer program perform a method that includes: obtaining data related to the health state of a patient; associating a timestamp with the data, encrypting the data and writing the data to a computer readable medium, determining whether the data is in a pre-configured range, and responsive to determining that the data is not in the pre-configured range, sending an alert to a client. This method also includes obtaining a response from the client and writing the response to the computer readable medium, where the response includes a medical recommendation based on the data.

Abstract: Systems, methods and computer-readable media are provided for facilitating clinical decision support and managing patient population health by health-related entities including caregivers, health care administrators, insurance providers, and patients.

Abstract: A method, system and computer readable medium for tracking changes in average glycemia in diabetes is based on a conceptually new approach to the retrieval of SMBG data. Using the understanding of HbA1c fluctuation as the measurable effect of the action of an underlying dynamical system, SMBG provides occasional glimpses at the state of this system and, using these measurements, the hidden underlying system trajectory can be reconstructed for individual diabetes patients. Using compartmental modeling a new two-step algorithm is provided that includes: (i) real-time estimate of HbA1c from fasting glucose readings, updated with any new incoming fasting SMBG data point(s), and (ii) initialization and calibration of the estimated HbA1c trace with daily SMBG profiles obtained periodically. The estimation of these profiles includes a factorial model capturing daily BG variability within two latent factors.

Abstract: A care estimate module operating on a central computing entity receives a trigger indication (a) comprising patient identifying information and (b) that identifies a service; extracts the patient identifying information from the trigger indication; determines the service; identifies a potential provider that provides the service; and determines a care estimate for the potential provider to provide the service to the patient. The potential provider is identified based on eligibility information associated with the patient, a location associated with the patient, and an address associated with the potential provider. The care estimate is determined based on the eligibility information associated with the patient. The central computing entity generates a care estimate notification that identifies the potential provider and comprises the care estimate; and provides the care estimate notification such that a user computing entity receives the care estimate notification.

Abstract: Computerized systems and methods facilitate searches by identifying instances in which search input is an ambiguous query and resolving the ambiguous query. The search system identifies ambiguous queries by querying a common data store prior to querying a patient database. More particularly, when the search system receives search input entered into a search tool, the search system queries the common name data store before querying the patient database to determine if the search input matches a common name and is an ambiguous query. If so, the search system may provide a notification to the user to indicate the search input is an ambiguous query with a common name and prompt the user to enter additional search criteria. In some instances, the search system may prevent a search from being performed on the patient database if the search input matches a common name until additional search criteria is entered.

Abstract: An at-home medical diagnostic test kit container including a plurality of at-home medical diagnostic test kits is provided herein. In particular, the medical diagnostic test kit container may include a machine-readable code (e.g., QR code) configured to facilitate an augmented reality experience associated with the at-home medical diagnostic test kit container. In some embodiments, a testing and diagnostic platform may facilitate tracking of inventory within the at-home medical diagnostic test kit container and/or may facilitate coordination of prescription medication order fulfillment and delivery upon indication of a medical condition that could benefit from taking prescription medication.

Abstract: An apparatus and method are provided that tracks patient recovery following an orthopedic procedure. A statistical computing engine implements a predictive model of the patient's post-procedural state for the orthopedic procedure based on a database of patient demographic data, comorbidities, pre-procedural walking parameters, including steps taken, and the orthopedic procedure that the patient is undergoing. The pre-procedural walking parameters are populated from physical sensor data automatically collected from the patient. The predictive model uses machine learning and is trained using training data sets. The predictive model creates a temporal trendline of post-procedural walking parameters, including steps taken, and a temporal trendline of post-procedural pain level. A processor then compares the patient's actual post-procedural state to the predictive model of the patient's post-procedural state. The post-procedural walking parameters are also obtained from the physical sensor.

Abstract: Systems and methods are provided for controlling dissemination of genomic data. One embodiment is a system that stores genomic data. The genomic data for each individual lists genetic variants determined to exist within that individual. The system receives an access request for a segment of genomic data for an individual, analyzes an authentication token within the request, authenticates the request as belonging to an account for a user based on the authentication token, and reviews authorization directives for the individual that indicate how predefined portions of genomic data are shared. The system also transmits the segment of genomic data in response to determining that the authorization directives permit the account to access the segment of genomic data, and prevents transmission of the segment of genomic data in response to determining that the authorization directives do not permit the account to access the segment of genomic data.