Abstract: A method includes obtaining prescribing drug information and published guidelines for each of a plurality of ADMs available for managing glucose levels, and receiving patient information associated with a patient. The method also includes ordering total demerit values from lowest to highest, selecting a predetermined number of recommended ADMs associated with the lowest total demerit values, and determining a recommended dosage for each recommended ADM. The method also includes transmitting a therapy regimen to a patient device associated with the patient. The therapy regimen includes the recommended ADMs and the recommended dosage for each recommended ADM.

Abstract: A system for calculating an edible score in a display interface, including a computing device configured to initiate, a display interface; retrieve, a performance profile relating to a user; determine, an edible of interest; receive, nourishment information relating to the edible of interest; generate, a score machine-learning process to output an edible score; and display, the edible score within the display interface.

Abstract: A computer-implemented therapy management system is operated to collect patient data associated with medical device users. Treatment of the users is managed by healthcare professionals (HCPs), which include a customer HCP and a plurality of non-customer HCPs. The system receives a first set of attributes for a first individual patient or a first group of patients under care of the customer HCP, and a second set of attributes for a second individual patient or a second group of patients. The system identifies a first set of patient records associated with the customer HCP that satisfy the received first attributes, and a second set of patient records that satisfy the received second attributes, and compares patient outcomes from the first set of records against patient outcomes from the second set of records. A comparative therapy report is generated and communicated to a client device associated with the customer HCP.

Abstract: In some examples, a processor of a system evaluates a therapy program based on a score determined based on a volume of tissue expected to be activated (“VTA”) by therapy delivery according to the therapy program. The score may be determined using an efficacy map comprising a plurality of voxels that are each assigned a value. In some examples, the efficacy map is selected from a plurality of stored efficacy maps based on a patient condition, one or more patient symptoms, or both the patient condition and one or more patient symptoms. In addition, in some examples, voxels of the efficacy map are assigned respective values that are associated with a clinical rating scale.

Abstract: A neural network is trained with patient historical data including features of patient pathways and labels characterizing a type of the patient pathways. During a runtime phase, the trained neural network matches a current patient profile with the patient historical data to extract selected portions of clinical practice guidelines (CPGs) identified according to one or more generated CPG models, the patient pathway models, and the current patient profile.

Abstract: Provided is a system for delivering and recording a dose of a medicament to a patient. Also provided is a method of administering a medicament to a patient. Additionally provided is a method of tracking usage of a medicament by a patient through a pen.

Abstract: A patient recruitment system, in particular for clinical studies, has at least one database environment comprising at least one database module that is configured at least to store in a patient database at least patient data records containing at least one course of treatment of at least one patient, has at least one patient recruitment server comprising at least one patient recruitment module that is configured to search and at least compare with at least one recruitment feature, data records, in particular courses of treatment, and has a data transport unit for a data transfer, in particular of at least one course of treatment, between the database environment and the patient recruitment server, the data transport unit comprises a restriction module, which restricts the data transfer to outbound connections originating from the database environment.

Abstract: Embodiment of the invention provide a method for determining a health index of a property area. The method comprises acquiring property data associated with a property area from a data source, and extracting a first property attribute data from the property data acquired. The first property attribute data extracted is used to determine presence or movement of a first pollutant data within the property area. The method further comprises determining a first potential impact data the first pollutant data may have on individual health based in part on the first property attribute data extracted, and computing a property score representing a health index of the property area based in part on the first potential impact data determined.

Abstract: Systems, and methods relate to a medical device receiving a treatment parameter operating point within a first operating region defined by a first set of operating points for which automatic incremental adjustment of a parameter in the current operation is permitted. In an illustrative example, incremental adjustment may use artificial intelligence based on patient feedback and sensor measurement of outcomes. Some exemplary devices may receive a request to alter the current treatment parameter operating point to a second treatment parameter operating point outside the first operating region and in a second operating region in a known safe operation zone, bounded by a known unsafe zone unavailable to the user. In the second operating region, some examples may restrict the step size of incremental adjustments requested by the user. Data may be collected for cloud-based analysis, for example, to facilitate discovery of more effective treatment protocols.

Abstract: A method for providing one or more customized alarm setting recommendations for a patient includes the steps of: providing a patient monitor configured to monitor the patient, the patient monitor comprising a patient sensor and a processor configured to receive the sensor data from the patient sensor, receiving, by the patient monitor, information about a patient; analyzing, by the processor using an alarm setting recommendation classifier, the received information about the patient to generate one or more alarm setting recommendations customized to the patient; providing the one or more alarm setting recommendations to the user, and receiving input from the user accepting, rejecting, and/or modifying the alarm setting recommendations.

Abstract: A bi-directional interface system that facilitates exchange of personal health information (“PHI”) between a mobile device and an electronic health record (“EHR”) system and/or other ancillary systems without storing information on the mobile device. The system may display data that exists in the EHR and/or other ancillary systems valuably viewed at a glance (e.g., vital signs, weight, last void data), as well as facilitate data entry that would feed into the EHR (e.g., vital signs and intake and output). The system may customize at a unit level and/or professional role the information available to health care professionals at the critical time of handoffs and reduce the health care professional's individual need to rely on memory or handwritten notes, further reducing missed information or erroneous information opportunities. The system may provide a mobile application to view and enter patient data to reduce potentially delayed information and treatments of care.

Abstract: Provided are patient transport and triage methods for use with a mission control computing device configured to execute and implement one or more application modules, and in operative communication over a network with a sender computing device and a dispatch computing device each operable to display one or more dashboards and/or input screens, and with one or more static or dynamic mission control datasets. The networked methods provide a technical solution for improving patient transport and triage by providing, confirming and sharing patient acuity and transport information among multiple relevant parties at the same time to provide better patient outcomes. Also provided are systems for implementing the methods, and computer readable media having stored thereon computer-executable instructions for performing the methods.

Abstract: A system and method are provided for collection and testing of a biologic sample in a self-diagnostic test. The system and method comprise collecting by a user of a testing device a biologic sample for use with the testing device, assigning correlative values as test results, and receiving the test results at a server disposed on a network. Some aspects include a mobile application operating on a mobile device with which the user interacts. These aspects allow advertisements and other messages to be presented to the user through the mobile application. Some aspects present different messages to the user based on the type of self-diagnostic test the user is conducting.

Abstract: A system for nutritional recommendation using artificial intelligence analysis of immune impacts includes a computing device designed and configured to receive a test result detecting an effect of at least an aliment on at least a biomarker, determine an immune system impact of the at least an aliment as a function of the at least a biomarker using a machine-learning process, the machine-learning process trained using a first training set relating biomarker levels to immune system function, generate a nutritional recommendation using the determined immune system impact, and provide the nutritional recommendation to the user.

Abstract: A system and method are provided for collection and testing of a biologic sample. The system and method comprise collecting by a user of a testing device a biologic sample for use with the testing device, assigning correlative values as test results, and receiving the test results at a server disposed on a network. Some aspects further include presenting advertisements and other messages to users through a mobile application operating on a mobile device. These aspects take into account the results of the self-diagnostic test and present different advertisements to the user based on the results of the test.

Abstract: Computer based methods, systems, and computer readable media for providing genomic services are provided. A request is received from a user. The request is applied to one or more from a group of a personalized data repository for the user and supporting knowledge bases, wherein the personalized data repository includes genetic test results, health/clinical information, and insurance coverage, and wherein the knowledge bases include information pertaining to genetic tests and clinical guidelines. Data from the applied request is integrated with results from service modules performing one or more from a group of content search, variation interpretation, and report generation to produce results for the request. The personalized data repository and supporting knowledge bases are updated based on the results of the request. Surveillance services are triggered based on one or more events.

Abstract: Provided are mechanisms and processes for a virtual waiting room. According to various examples, the system includes a medical schedule processor that logs when a medical professional enters an examination room to conduct an examination of a patient and compares this time with scheduling information to predict whether future appointments on that day will be delayed. The scheduling information is cryptographically separated from Health Insurance Portability and Accountability Act (HIPAA) information. The system also includes a notification interface that sends data including current appointment status of the medical professional, predicted delays, and modified appointment times for each appointment for the day to a medical scheduling management app that is viewable by patients of the medical professional. The predicted delays and modified appointment times are updated periodically.

Abstract: A method and system are disclosed for performing supervised outcome-driven persona-typing, including receiving a first data set having patient specific data, treatment data, and outcome data for each of a plurality of first patients. Once received, the plurality of first patients are grouped based on the first data set, and a persona for each of patient groups is generated. A second data set may then be received for a second patient including second patient specific data. A comparison is then carried out on the second data set to identify an existing persona, and then associate the second patient with the identified persona. Based on each of the above steps, a patient care plan is then created.

Abstract: A method includes obtaining prescribing drug information and published guidelines for each of a plurality of ADMs available for managing glucose levels, and receiving patient information associated with a patient. The method also includes ordering total demerit values from lowest to highest, selecting a predetermined number of recommended ADMs associated with the lowest total demerit values, and determining a recommended dosage for each recommended ADM. The method also includes transmitting a therapy regimen to a patient device associated with the patient. The therapy regimen includes the recommended ADMs and the recommended dosage for each recommended ADM.

Abstract: Medical diagnostic images that are embedded with contact messages about a professional are sent to a patient for sharing with others. Although the images may be obtained using any of a variety of imaging devices, in some instances, the images may be obtained using a soft-tissue-injury diagnostic system for diagnosing soft tissue injury within a patient. A visual display is configured and arranged for receiving and displaying the medical diagnostic image. Personalized contact messages are then embedded within the image as a watermark to with information about the professional, such as an electronic business card, contact information, or hyperlinks to additional information. The sharable image with embedded messages is electronically sent to the patient for sharing with others. Personalized contact messages may also be embedded in non-medical images for sharing with others.