Abstract: A patient treatment status notification system in a healthcare facility with multiple examination rooms includes a first electronic visual status indicator and a second electronic visual status indicator to be installed outside a first examination room, an indicator control circuit configured to communicate with and control the first and second electronic visual status indicators of the first examination room, a manual input device for the first examination room configured to receive user input representing change of a treatment status of a patient assigned to the first examination room, a switch multiplexer configured to communicate with and receive the user input from the manual input device for the first examination room, and a central control processor coupled to the indicator control circuit and the switch multiplexer to update the treatment status of the first examination room.

Abstract: The method of obtaining DICOM files may comprise receiving, by a processor, scanning data of a scannable graphic associated with an item, wherein the scannable graphic is associated with DICOM tag data; extracting, by the processor, the DICOM tag data from the scanning data; determining, by the processor, that the DICOM tag data is associated with a first DICOM file; identifying, by the processor, a user of the first DICOM file; retrieving, by the processor, the first DICOM file; searching, by the processor, for other DICOM files that are associated with at least one of the user or the first DICOM file; retrieving, by the processor, the other DICOM files; and sending, by the processor and to the user, the first DICOM file and the other DICOM files.

Abstract: Various systems and methods are provided for surgical and interventional planning, support, post-operative follow-up, and functional recovery tracking. In general, a patient can be tracked throughout medical treatment including through initial onset of symptoms, diagnosis, non-surgical treatment, surgical treatment, and recovery from the surgical treatment. In one embodiment, a patient and one or more medical professionals involved with treating the patient can electronically access a comprehensive treatment planning, support, and review system. The system can provide recommendations regarding diagnosis, non-surgical treatment, surgical treatment, and recovery from the surgical treatment based on data gathered from the patient and the medical professional(s).

Abstract: A method, system and computer-readable medium are provided for weaning patients from ventilation, the method including the steps of receiving infusion and ventilation information, and determining whether to initiate termination of the ventilation. The method further including determining whether a timing of an extubation was performed according to the rules and protocols, and providing a notification to a client device regarding the timing of the extubation.

Abstract: A computer-implemented method, system, and computer program product are provided for determining cognitive issues. The method includes building, by a processor device with social network data, a patient model for social interactions between a patient and other people. The method also includes computing, by the processor device, changes between the patient model and new social network data. The method additionally includes evaluating, by the processor device, the changes between the patient model and new social network data to generate evaluated changes. The method further includes determining, by the processor device, a patient metric score responsive the evaluated changes. The method also includes controlling an operation of a processor-controlled device responsive to the patient metric score.

Abstract: An ECG information processing method and ECG workstation, wherein the method comprises: the ECG workstation receives the ECG data output by an ECG device, the ECG data includes ID of the measured object and the detection time information; perform ECG data analysis on the ECG data to generate report data; receive a report data query input by the user, query corresponding report data according to the user ID of the user, and generate report data query result list data; acquire the selected report data according to the selection instruction, determine output mode information and output format information according to the report output, and, selectively output report conclusion data, report entry data, and/or the partial data or all the data in the report graphic data, and convert the partial data or all the data in data format according to the output format information, to generate report output data.

Abstract: Providing selective, secure access to an aggregated, multidimensional data set comprising dose order records for generation of data analytics with respect thereto. The aggregated data may correspond to a plurality of unaffiliated facilities. As such, upon a user from a given facility attempting to access a data analytics tool may be identified in relation to a facility from which the user is accessing the tool. In turn, a data cube class definition from which all other data analytics data cubes inherit from may be used to, in conjunction with the user identification, limit the data used to generate data analytics outputs to source data to which the user has authorization to view. The outputs may include including, for example, reports, dashboards, tables, or the like.

Abstract: Systems and methods for integrating a plurality of healthcare software applications. A user initiates one or more software applications required to perform different parts of a healthcare task. The software applications include a local application installed on the user's device and a web-based application accessed through a browser. A host application is launched in order to facilitate local two-way communication between the local application and the web-based application. The host application generates a local communication server on the user device through which the local application and web application communicate. This allows a user to easily and efficiently perform multiple parts of the healthcare tasks. This also allows different healthcare software applications to be integrated without requiring any plug-ins or other integration components to be installed on the user's device.

Abstract: A medical diagnostic kit are described. In one example, a medical diagnostic kit includes a container, and a plurality of medical diagnostic test kits located within the container. Each of the plurality of medical diagnostic test kits can include equipment necessary to perform a particular self-administered medical diagnostic test. The plurality of medical diagnostic test kits can include at least a first medical diagnostic kit adapted to facilitate user completion of a first medical diagnostic test and a second medical diagnostic kit adapted to facilitate user completion of a second medical diagnostic test different from the first medical diagnostic test. The container can include a machine-readable code located on an external surface of the container.

Abstract: Techniques for remote monitoring of a patient and corresponding medical device(s) are described. The remote monitoring comprises providing an interactive session configured to allow a user to navigate a plurality of sub sessions, determining a first set of data items in accordance with a first subsession, the first set of data items including the image data, determining a second set of data items in accordance with a second subsession of the interactive session, determining, based at least in part on the first set of data items and the second set of data items, an abnormality, and outputting a post-implant report of the interactive session.

Abstract: Methods, systems, and computer-readable media are provided for facilitating record matching and entity resolution and for enabling improvements in record linkage. A power-spectrum-based temporal pattern-specific weight may be incorporated into record linkage methods to enhance the record linkage accuracy and statistical performance. For example, in embodiments, a value-specific weight may be calculated from a population-based frequency of field-specific values and provides an opportunity to capture and measure the relative importance of specific values found in a field. A timeseries-derived Bayesian power spectrum weight may be calculated from the population-based frequency of temporal pattern-specific values in terms of intensities at various frequencies of the power spectrum computed from the timeseries, and further provides an opportunity to capture and measure the relative importance of specific sequences of care episodes.

Abstract: Systems, methods, and storage media useful in a computer healthcare system to consume clinical quality language queries in a programmatic manner are disclosed. Exemplary implementations may: load a CQL query from a third party; transform the CQL query to a modified structured query language query; load medical data elements from a database record store for each patient in one or more defined patient populations; execute the modified SQL query on medical data elements from the database record store for each patient in one or more defined patient populations; and load results of the modified SQL query.

Abstract: A healthcare management system and method provide efficient and secure access to private information. A portable physical device, referred to herein as a Personal Digital Key or “PDK”, stores one or more profiles in memory. The biometric profile is acquired in a secure trusted process and is uniquely associated with an individual that is authorized to use and is associated with the PDK. The PDK can wirelessly transmit the identification information including a unique PDK identification number and the biometric profile over a secure wireless channel for use in an authentication process. The PDK is configured to wirelessly communicate with a reader. A provider interface coupled to the reader, and the reader is further configured to receive profile information from the PDK. The healthcare management system also includes an auto login server configured to communicate with the provider interface to allow access to information in a patient database.

Abstract: A system to allocate resources via information technology infrastructure is described. A server includes processors to provide to a plurality of devices, an electronic benefits account transaction application programming interface (“API”) configured to receive transaction requests from a plurality of heterogeneous electronic funding sources. The server can receive a request to initiate a single transaction to fund an electronics benefit account. The server can transmit data in an alert format indicating a denial of the single request responsive to a comparison of a value to one or more threshold limits.

Abstract: Systems and methods for three-dimensional dose prediction and treatment planning using a deep learning fully convolutional neural network are disclosed.

Abstract: Provided are an information processing apparatus, an information processing method, and a program capable of accumulating appropriate relearning data. An information processing apparatus includes an input unit that inputs input data to a learned model acquired in advance through machine learning using learning data, an acquisition unit that acquires output data output from the learned model through the input using the input unit, a reception unit that receives correction performed by a user for the output data acquired by the acquisition unit, and a storage controller that performs control for storing, as relearning data of the learned model, the input data and the output data that reflects the correction received by the reception unit in a storage unit in a case where a value indicating a correction amount acquired by performing the correction for the output data is equal to or greater than a threshold value.

Abstract: A computer-implemented medical system is provided. The system includes a docking station and a mobile machine. The system is configured to perform operations comprising: receiving, by the mobile machine and from a user, a request to transport the mobile machine to a target location to perform a medical treatment; automatically navigating the mobile machine to the target location; performing, by the mobile machine, the medical treatment on a patient; determining, by the mobile machine, that the medical treatment is completed and the mobile machine is disconnected from the patient; automatically navigating the mobile machine to a stationary docking station of the medical system; and determining that the mobile machine is connected to the docking station through one or more connectors, and in response, receiving, by the mobile machine, at least one of an electrical charge, a refill of one or more supplies, a cleaning, or a drain of waste.

Abstract: Disclosed herein are systems and methods for identifying radiation therapy treatment data for different patients, such as field geometry. A central server collects patient data, radiation therapy treatment planning data, clinic-specific rules, and other pertinent treatment/medical data associated with a patient. The server then executes one or more machine-learning computer models to predict field geometry variables and weights associated with the patient's treatments. Using the predicted variables and weights, the server execute a clinic-specific set of logic to identify suggested field geometry, such as couch/gantry angles and/or arc attributes. The server then monitors whether end users (e.g., medical professionals) revise the suggested field geometry and trains the model accordingly.

Abstract: A method for providing prediction based healthcare recommendations is performed by a healthcare prediction server. The method includes receiving an emergency room services request from a patient. The method also includes receiving a first portion of the plurality of historical claims data. The first portion includes associated historical outcome data. The method further includes applying a geospatial prevalence engine to the first portion of the plurality of historical claims data and the requestor location to identify at least one locally prevalent disease. The method additionally includes applying a claims processing engine to the first portion of the plurality of historical claims data and the requestor identifier to determine whether the patient is associated with at least one prior avoidable emergency room claim. The method includes predicting that the emergency room services request is associated with an avoidable visit. The method further includes transmitting an alternative services request.

Abstract: A first set of user data is received and a user profile is constructed based on the user data and in accordance with a sensitive service involving the user. A situational context is analyzed based on the first set of data. Personalized questions are generated, responsive to the user profile and to the situational context. The personalized questions are presented to a user corresponding to the user data and responses to same are received, including detection of user micro-expressions. The responses are analyzed, according to one or more machine learning models. A neural network model selects an action to be performed in response to analyzing the responses from the user; the action is a sensitive service involving the user. An apparatus is triggered to send a simple message service (SMS) message to a point of care service professional; the message recommends performance of the sensitive service on the user.