Abstract: A user may require medical attention based on one or more preferences, present insurance policies, and other relevant factors. The user may also desire to participate in an audio and/or video medicine treatment option across a network. One example method may identifying an upcoming appointment time for a live medical treatment session stored in a calendar entry, creating a communication session hosted by a server, transmitting a first invitation message to a medical professional device associated with a medical professional identified in the calendar entry, transmitting a second invitation message to a user device associated with a patient identified in the calendar entry, and responsive to receiving a response message from the medical professional device, retrieving a patient profile record associated with the patient and populating a user interface of the medical professional device with patient history information stored in the patient profile record.

Abstract: Systems and methods are provided for automated routing in a facility. A system may comprise at least one processor, and a storage medium comprising executable instructions to configure the processor to receive first data associated with a condition of an individual, search a database in communication with the at least one processor to identify second data for a set of milestones associated with the condition, select, based on the set of milestones, a plurality of locations in the facility corresponding to the set of milestones, receive, from the database, third data associated with performance metrics of the plurality of locations, determine a sequence of the set of milestones and a path through the plurality of locations, the path being determined by correlating the performance metrics to milestones in the set of milestones, and generate for display a graphical user interface illustrating the determined sequence and determined path.

Abstract: A device may receive medical data associated with potential patients for a clinical trial of a drug, where the medical data includes one or more of multi-omics data associated with the potential patients, genomic profiles of the potential patients, dosage and time associated with the drug, electronic medical records of the potential patients, or clinical trial data associated with the drug. The device may perform, in parallel, a topological data analysis, a non-matrix factorization analysis, and a neural network analysis of the medical data. The device may identify a group of patients, of the potential patients, for the clinical trial of the drug based on performing the topological data analysis, the non-matrix factorization analysis, and the neural network analysis of the medical data, and may provide information identifying the group of patients.

Abstract: Systems, methods, and computer readable storage medium for providing a genericized medical device architecture common to a plurality of medical devices are disclosed. The architecture may comprise at least one diagnostics module associated with at least one of the plurality of medical devices, wherein the at least one diagnostics module is configured to monitor an operational status of the at least one medical device. At least one hardware abstraction layer may be associated with at least one of the plurality of medical devices, and may be configured to provide abstracted access to hardware of the at least one medical device.

Abstract: Methods, systems, and computer-storage media are provided for facilitating the management of population health. A parallel processing architecture receives patient population health data from healthcare facilities along with one or more documents that are in human-readable form. From the human-readable document, computer-readable code is generated that includes high-level clinical logic is executed against the population health data to identify, among other things, patients in the population who qualify for health intervention programs. Using this information, healthcare facilities can implement management programs to help care for these patients.

Abstract: Embodiments in the present disclosure relate generally to computer network architectures for machine learning, artificial intelligence, and risk adjusted performance ranking of healthcare providers. Embodiments of computer network architecture automatically make risk adjusted performance rankings of healthcare service providers and generate and transmit reports of the rankings. Embodiments may generate such rankings either occasionally on demand, or periodically, or as triggered by events such as an update of available data for such forecasts. Embodiments may include a combination of third-party databases to generate the updated forecasts for pending patient clinical episodes, and to drive the forecasting models for the same, including social media data, financial data, socio-economic data, medical data, search engine data, e-commerce site data, and other databases.

Abstract: Apparatus and methods for deriving a dietary plan. In one embodiment, the method comprises enabling a user to enter a long-term dietary goal at a health tracking device; accessing user profile information relating to the user; generating at least one value representative of a short-term dietary goal for the user based at least in part on the long-term dietary goal and the user profile information; dividing the at least one value of the short-term dietary goal among a plurality of dietary portions; and enabling the user to adjust the relative amount of the at least one value apportioned to each of the plurality of dietary portions.

Abstract: A method includes receiving a scheduling request that identifies a medical consumable, accessing first document types that indicate how often medical consumables are to be ingested, identifying a frequency at which the first designated medical consumable is to be consumed based on the first document types, accessing second document types that indicate a pattern of personal activity behavior, identifying one or more temporal opportunity windows based on the second document types, determining one or more matches between the frequency at which the first designated medical consumable is to be consumed and the one or more temporal opportunity windows, creating an adherence schedule based on the one or more matches that indicates when reminders to ingest the first designated medical consumable are to be generated, and generating one or more of the reminders to ingest the first designated medical consumable on a mobile electronic device according to the adherence schedule.

Abstract: A method includes obtaining training data for a plurality of patients of a patient population. The training data includes training blood glucose history data including treatment doses of insulin administered by the patients of the patient population and one or more outcome attributes associated with each treatment dose. The method also includes identifying, for each patient of the patient population, one or more optimum treatment doses of insulin from the treatment doses yielding favorable outcome attributes. The method also includes receiving patient-state information for the treated patient, determining a next recommended treatment dose of insulin for the treated patient based on one or more of the identified optimum treatment doses associated with the patients of the patient population having training patient-state information similar to the patient-state information for the treated patient, and transmitting the next recommended treatment dose to a portable device associated with the treated patient.

Abstract: A method for generating medical trends based on medical test results by a server, comprising obtaining results from a first test related to a medical condition of a first patient, obtaining results from a second test related to a medical condition second patient, wherein the results include patient information and efficacy and dosage level information of a medication, comparing the patient information and the test results of the first patient with the patient information and the test results of the second patient, determining that a patient characteristic of the first patient matches a patient characteristic of the second patient, storing a potential trend, receiving a plurality of additional test results, determining that the potential trend is found in the additional test results in an amount that is above a threshold, and altering the potential trend to an active trend.

Abstract: Systems and methods are disclosed for question generation to obtain more related medical information based on observed symptoms from a patient. In embodiments, possible diseases associated with the observed symptoms are generated by querying a knowledge graph. In embodiments, candidate symptoms associated with the possible diseases are also identified and are combined with the observed symptoms to obtain combined symptom sets. In embodiments, discriminative scores for the candidate symptom sets are determined and candidate symptoms with top discriminative scores are selected. In embodiments, these selected candidate symptoms may be checked for conflicts with observed symptoms and removed from further consideration if a conflict exists. In embodiments, one or more questions may be generated based on the remaining selected candidate systems to aid in collecting information about the patient. In embodiments, the process may be repeated with the updated observed symptoms.

Abstract: The present invention relates to methods for tuning treatment parameters in movement disorder therapy systems. The present invention further relates to a system for screening patients to determine if they are viable candidates for certain therapy modalities. The present invention still further provides methods of quantifying movement disorders for the treatment of patients who exhibit symptoms of such movement disorders including, but not limited to, Parkinson's disease and Parkinsonism, Dystonia, Chorea, and Huntington's disease, Ataxia, Tremor and Essential Tremor, Tourette Syndrome, and the like. The present invention yet further relates to methods of tuning a therapy device using objective quantified movement disorder symptom data acquired by a movement disorder diagnostic device to allow a clinician, technician or physician to determine the therapy setting or parameters to be provided to the subject via his or her therapy device.

Abstract: The present invention relates to methods for tuning treatment parameters in movement disorder therapy systems. The present invention further relates to a system for screening patients to determine if they are viable candidates for certain therapy modalities. The present invention still further provides methods of quantifying movement disorders for the treatment of patients who exhibit symptoms of such movement disorders including, but not limited to, Parkinson's disease and Parkinsonism, Dystonia, Chorea, and Huntington's disease, Ataxia, Tremor and Essential Tremor, Tourette Syndrome, and the like. The present invention yet further relates to methods of tuning a therapy device using objective quantified movement disorder symptom data acquired by a movement disorder diagnostic device to allow a clinician, technician or physician to determine the therapy setting or parameters to be provided to the subject via his or her therapy device.

Abstract: A control circuit operably couples to a memory having a plurality of different radiation treatment applications stored therein, a data store having patient data stored therein, and at least a first user interface comprising a first display and a first user input interface. The control circuit can be configured to present simultaneously, via the first display and for a given patient, at least two workspaces that each correspond to a different one of the radiation treatment applications wherein the workspaces are using patient data from the data store for the given patient. The control circuit can also be configured to present, via the user input interface, a bookmark capture opportunity, such that a user of the apparatus can selectively create a bookmark that captures a present state for both of the at least two workspaces and hence for the radiation treatment applications that correspond to the at least two workspaces.

Abstract: The disclosed embodiments include a system that has a processor for executing computer-executable instructions and a computer-readable storage media for storing the computer-executable instructions. These instructions, when executed by the processor, enable the system to receive prescription data of a patient for corrective lenses and image data associated with the face of the patient. The system is configured to determine lens attributes for the patient based upon the prescription data and also determine facial attributes of the patient from the image data. Based on the lens attributes and the facial attributes of the patient, the system determines at least one frame recommendation for the patient.

Abstract: Inference of appropriate anatomical region from inconsistent descriptions in order to provide fast and accurate prefetching is provided. In various embodiments, a first plurality of user-configurable rules is read from a data store. Each rule maps to a user-configurable anatomical region. A plurality of studies is accessed from the image archive. Each of the plurality of studies has associated metadata. The plurality of rules is applied to the metadata associated with the plurality of studies to determine an anatomical region of each of the plurality of studies. Based on the anatomical regions of the plurality of studies and one or more additional rule, a subset of the plurality of studies is selected for display to a user on a display.

Abstract: A host-client data sharing system manages diabetes care data. A host database, preferably web or internet based, is implemented for storing diabetes care data relating to multiple diabetics. A client or local database stores the diabetes care data relating to multiple diabetics on a personal appliance such as a PC, or a portable or handheld microprocessor-based computing device. The host database uses multiple servers for handling client interactions with the system.

Abstract: A medication dispenser system and use thereof for providing exact personal dosing for a patient are provided. In one aspect, a method for dispensing medications is provided. The method includes the steps of: obtaining patient information and a list of the medications for the patient; calculating a personal dose of each of the medications for the patient using the patient and cross-medication interaction information; and preparing treatments each containing the personal dose of each of the medications in a single treatment. In another aspect a system for dispensing medications includes: a patient information component for obtaining patient information and a list of the medications for the patient; a dosage calculator component for calculating a personal dose of each of the medications for the patient using the patient information; and a medication dispenser component for preparing treatments each containing the personal dose of each of the medications in a single treatment.

Abstract: Intelligence and analytics may be improved by combining sets of disparate data records and matching records between entities. The matched records may then be analyzed by identifying relevant entities and providing information to a user containing the combined sets of secure data records and the analysis. The information may be customized for the user after identifying the user accessing the interface. Additionally, rules may be applied to the analyzed data to enhance the data when viewed by the user.

Abstract: A wearable data storage and transmission device and related systems that collect and store sensor data from sensors worn by a user. The device components can include a processor, battery, data storage media, NFC components, Bluetooth components, Wi-Fi components, and wired communications components. The device can remain powered down, powering up periodically to collect sensor data using low energy methods and/or in response to receiving a signal (e.g., NFC, power, Bluetooth, etc.) from an external device that causes the device to power up its components and make sensor data available to the external device. The collected sensor data may be encoded, compressed, stored, and/or exchanged in one or more structured records using various methods to improve the information storage capabilities of the device, including using the disclosed QR coding methods.