Abstract: Pharmacy workflow management with alert integration. A pharmacy workflow management application may obtain alert data from an alert generation platform. In turn, the alert information may be provided to a user of the workflow management application within the application without having to divert from use of the application. The user may further utilize the pharmacy workflow application to access the alert generation platform. In this regard, the user of the pharmacy workflow management application may be in bidirectional communication with the alert generation platform to, for example, exchange resolution information in relation to an alert. The alert data may comprise any pertinent data related to pharmacy activity managed by the pharmacy workflow management application and in particular may include data related to infection control or antimicrobial stewardship.

Abstract: A blood purification system is provided that is capable of effectively utilizing accumulated histories stored during blood purification treatment and that helps take a quick and appropriate action in response to any event that occurs unsteadily or any transition of a parameter. The blood purification system includes an extracting unit that searches histories accumulated in a storage unit and extracts, as reference histories, a plurality of histories each including any of events having occurred during the current session of blood purification treatment or a plurality of histories each including a parameter approximate to that observed during the current session of blood purification treatment; a list-creating unit that creates a list of the plurality of reference histories extracted by the extracting unit; and a display control unit that controls the list created by the list-creating unit to be displayed on a display unit.

Abstract: The disclosure provides methods for improving the function of systems regimens, devices by identifying, quantifying, and implementing at least one inherent variability pattern which is based on patterns learned from a specific subject or from other subjects including subject's variability patterns, such as, DNA, genes, nucleic acids, RNA, proteins, cells, organs, biological pathway(s), or whole body variability. There are provided herein devices, systems, and methods for real time or delayed altering of the parameters of system's regimens, for improving biological systems functions. Any system used by humans, or affect human function, wherein the parameters are updated using inherent variabilities signatures with and without other individualized patterns from a subject or from other subjects, can increase the accuracy and efficacy of the system for achieving the desired goal.

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 any updated data. A high-level clinical logic is executed against the data to identify, among other things, patients in the population who qualify for health intervention programs.

Abstract: A method is for supporting clinical decisions for a diagnosis or therapy of a patient using a medical imaging system. An embodiment of the method includes receiving a procedure order; based on the received procedure order, automatically identifying a clinical context of the ordered procedure; generating preliminary imaging data of at least a part of the patients anatomy; generating feature extraction data based on the identified clinical context and on the preliminary imaging data; extracting at least one clinical context specific feature using the generated feature extraction data; annotating the at least one extracted clinical context specific feature to obtain at least one annotated extracted feature; and selecting, for the identified clinical context, a similar case data set from a reference database of case data sets based on the at least one annotated extracted feature.

Abstract: This description relates to insight into the asthma management habits of a patient or a plurality of patients. The provided information includes records of rescue medication usage events, records of controller medication events, and overall evaluations of a patients disease management. Users of the application may include both patients who may use the information to monitor their own habits or providers who may use the information to monitor patients or improve a patient's existing medication regimen.

Abstract: Systems and method are provided for generating a record of a medical procedure. A system includes a processor and a non-transitory computer readable medium. The medium includes a graphical user interface configured to display a graphic representing an anatomical region of a patient and accept a gesture from a user comprising a selected procedure and, diagnosis when appropriate, and a location on the displayed anatomical region. A knowledge base stores a plurality of templates, each comprising a set of fields. A record generation engine selects an associated one of the plurality of templates according to each of the selected procedure and, diagnosis when appropriate, and the location on the displayed anatomical region and populates the set of fields associated with the selected template. A database interface formats the populated template into a database record suitable for an electronic health records database associated with the system.

Abstract: A medical information navigation engine (“MINE”) includes a medical information interface, a reconciliation engine and an intent-based presentation engine. The medical information interface receives medical information from a plurality of medical sources, which is subsequently reconciled by the reconciliation engine. The intent-based presentation engine clusters the reconciled medical information by applying at least one clustering rule to the reconciled medication information. The clustered reconciled medical information can be presented to a user.

Abstract: Medical image based collaboration system and methods are provided. A collaboration server 40 creates a medical image based case in response to a request from a requesting system 10 and populates the case with the minimum required information comprising at least a digital medical image and a case number. The collaboration server 40 provides the medical image based case to a consulting system 30 and receives analysis information in response. The collaboration server 40 stores the analysis information in association with the medical image based case and provides the analysis information to the consulting system 30 to complete the medical image based collaboration.

Abstract: A blood purification system is provided that is capable of effectively utilizing accumulated histories stored during blood purification treatment and that helps take a quick and appropriate action in response to a particular incident that occurs unsteadily. In a blood purification system, a history stored in a storage device includes particular incidents having occurred unsteadily in blood purification treatment. The blood purification system includes an extracting device capable of searching the histories accumulated in the storage device and extracting a desired one of the particular incidents, a calculating device capable of calculating a time when the particular incident extracted by the extracting device occurs a predetermined or more number of times as a frequent-occurrence time slot, and a display control device capable of displaying the frequent-occurrence time slot calculated by the calculating device on a display during a current session of blood purification treatment.

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: The technology uses aggregated health data and outbreak models to conduct differential diagnosis and provide risk assessments that indicate a likelihood of contracting COVID-19. A healthcare organization server provides COVID-19 diagnostic kits and health applications to participating computing devices that log user health data and registers contacts with other participating users via wireless interactions. The organization compares received data with data received from computing devices from a plurality of other users and identifies common occurrences. The server creates an outbreak model of a geographic region based on the data. The server communicates a determined likelihood of contracting COVID-19 of the user to the user computing device. The server provides the outbreak model to the user, healthcare workers, or others for use in responding to the outbreak.

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 medical information navigation engine (“MINE”) is capable of inferring referral activity not reported into a referral workflow system by utilizing intent-based clustering of medical information. The intent based clustering reconciles received medical data, from a variety of sources, and then clusters the data by applying one or more clustering rules. After the referrals not otherwise reported are inferred, they may be utilized to generate metrics that can be utilized to enhance patient care, and reduce costs. Metrics may be generated for both in-network and out-of-network referrals in order to distinguish differences in reporting activity.

Abstract: A method includes accessing, by a healthcare practitioner via an EHR software application loaded on an electronic device, patient information for a patient; determining, by an agent application loaded on the electronic device, the patient for which the patient information was accessed; communicating, from the agent application to an agent service, a request for data regarding the patient; communicating, from the agent service to the agent application, accessed community data for the patient; displaying, in an interface of the agent application, one or more data items based on the accessed community data; receiving user input corresponding to toggling of the agent application from a filtered mode to an unfiltered mode; in response to the toggling, displaying additional data items coded visual indications that the respective data items are newly displayed, the coded visual indications being coded to indicate a reason why each respective data item was not previously displayed.

Abstract: A home automation (HA) system may include at least one HA operation device that includes a user-settable thermostat for controlling a heating, ventilation, and air-conditioning (HVAC) system associated with a living area of a user. The HA system may also include a controller. The controller may be configured to collect user thermostat setting data from the user-settable thermostat, and use machine learning to identify a health condition of the user based upon the user thermostat setting data.

Abstract: A mechanism is provided for implementing a dynamic context-based collaborative medical concept interpreter for automatically generating and presenting summarized explanations of medical concepts. The dynamic context-based collaborative medical concept interpreter performs natural language processing on a real-time patient-provider communication to identify one or more medical concepts referred to in the communication. The dynamic context-based collaborative medical concept interpreter adjusts one or more previous explanations for the one or more medical concepts referred to in the communication using a set of contextual factors. The dynamic context-based collaborative medical concept interpreter generates an abstractive summary that summarizes ranked explanations of the one or more medical concepts based on an original language used in the one or more previous explanations.

Abstract: A method and apparatus for providing curated criteria to identify one or more candidates for a clinical trial is disclosed. A computer processor identifies a first input criterion for the clinical trial. The processor employs a trained first recurrent neural network (RNN) configured as an encoder to encode the first input criterion. The encoder extracts key features of the medical condition of the patient. The processor employs a trained second RNN configured as a decoder to generate a curated output criterion by processing the encoded first input criterion based on the derived key features. The processor employs a machine learning model to ingest the curated output criterion to identify the one or more candidates for the clinical trial.

Abstract: In some embodiments, a system includes an ingestible signal generator coupled to a medication and configured to generate a body-transmissible signal upon ingestion by a user. The system also includes a receiver, the receiver including a sensor configured to detect the body-transmissible signal, the receiver configured to generate and wirelessly transmit a sensor signal based on the body-transmissible signal. The system also includes a user device. A processor of the user device is configured to wirelessly monitor the sensor for the sensor signal and, in response to not receiving the sensor signal within a predetermined time period, generate a notification. The processor is further configured to send a signal to present the notification and receive a response to the notification from the user. The processor is also configured to identify at least one trend associated with the sensor signal and the medication, and perform an action based thereon.

Abstract: A health care system includes a server to provide a service to care for a health state of each user, and a terminal of each user. The server registers and manages user information containing at least attribute information of the user, health information, or action information as share information of a group of users in response to an operation from the terminal of the user, checks similarity between the users in the share information, determines a similar user of each of the users, and outputs share information of the similar user of the user to the terminal of the user on the basis of the check information. The health information contains time series data of one element of measurement items containing a body temperature of the user, menstruation, examination results, medication, or symptoms. The action information contains time series data of one of actions or arbitrary texts.