Abstract: A system for determining adverse effects associated with a substance includes a side-effect recognizer, a relationship extractor, a processor, and a reporting system. The side-effect recognizer utilizes a first recurrent neural network (RNN) to identify a first portion of received data associated with an adverse effect to thereby determine the adverse effect associated with the received data. The relationship extractor utilizes a second RNN to identify a second portion of the received data associated with a substance and a third portion of the received data that indicates a relationship between the substance and the adverse effect to thereby determine the substance associated with the received data and the relationship between the substance and the adverse effect. The processor is in communication with the adverse effect recognizer and the substance relationship extractor and aggregates and relates the adverse effect, substance, and relationship.

Abstract: An apparatus configured to quantify and display a time buffer for at least one patient during a blood treatment session is described. A blood treatment apparatus which includes such an apparatus or is in signal communication therewith, and a method for quantifying and presenting the time buffer for at least one patient at a blood treatment session are also described, as well as a computer program, a computer program product and a digital storage medium.

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: An improved prescription prior authorization system is disclosed and described herein. The improved prescription prior authorization system provides an improved system and apparatus for prescription prescribers and other healthcare providers to satisfy prior authorization requirements as part of the prescription process. The improved prescription prior authorization system provides mechanisms to a prescriber of medication to more quickly and efficiently satisfy prior authorization requirements for a prescriber and to more quickly provide the prescription to the patient to improve the patient's overall health. The patient's overall health is improved because of the improved likelihood that the patient will receive the product that the prescriber wants to prescribe to the patient. The improved prescription prior authorization system also reduces prescription network traffic and improves the efficiency of the prescription network.

Abstract: A method and a system are provided for processing electronic medical records for predicting a health condition of a patient. The method may determine a first set of datasets of a first patient based on one or more first electronic medical records. The method may extract one or more second sets of datasets of one or more second patients from a database server based on the first set of datasets. The method may generate one or more bipartite graphs based on the first set of datasets and the one or more second sets of datasets. The method may determine a set of edges from the one or more edges based on a matching score in each bipartite graph. The method may further predict the health condition of the first patient based on at least the matching score associated with each of the one or more bipartite graphs.

Abstract: A medical report creation apparatus and method includes creating a medical report including a plurality of sets of information that is the object of diagnosis and association information indicating associations among a plurality of items included in each of the plurality of sets of information, specifying one item out of a plurality of items included in each of a plurality of sets of information included in a previously created medical report, identifying, based on association information by which the specified one item is associated, at least one item of the plurality of items included in the previously created medical report in response to specifying the one item, and displaying the at least one identified item for editing the medical report.

Abstract: Systems and methods for a comprehensive online healthcare platform are provided that increase the efficiency of the medication selection process. In one embodiment, a method comprises responsive to a query from the user via the user device, receiving a list of one or more medications identified from a storage device and receiving medication information about each identified medication in the list of the one or more medications from the storage device. The method further includes, calculating a user personalized grade for each of the identified medications based on the medication information and the user information, transmitting the user personalized grade and medication information to the user device and displaying simultaneously on the user device, the user personalized grade, cost factor, prescription experience data, and secondary technical effects of each identified medication.

Abstract: Methods, systems, and computer-readable media are provided for synchronizing healthcare data across disparate data centers. Healthcare data from healthcare data sources is received by a collector service that operates in a cloud computing platform. The data is sent to a staging platform associated with a first data center that is hosting the collector service. From here, the data is stored in association with a long-term storage data store associated with the first data center. As well, it is communicated to processing nodes associated with the first data center that subscribe to the data. The staging platform also communicates the data to a staging platform associated with a second data center. This staging platform also stores the data in association with a long-term storage data store located at the second data center and communicates the data to processing nodes located at the second data center that subscribe to the data.

Abstract: A computer network architecture for a pipeline of models with machine learning and artificial intelligence for healthcare outcomes is presented. A machine learning prediction module and an artificial intelligence learning model are in electronic communication with a web application, which is also in electronic communication with a user device. An expanding updating database supports automatically recalibrating, re-evaluating, and reselecting the evolving and improving algorithms.

Abstract: Methods, computer systems, and computer storage media are provided for utilizing clinical information in disparate formats or structures to generate multiple derived representations of the clinical information, each derived representation structured to meet a particular clinical need. Clinical information is aggregated from multiple, disparate data sources; the clinical information is in a first format. The information is restructured to generate a derived representation of the information; the derived representation is in a second format. The derived representation is communicated to a clinical application that meets the particular clinical need.

Abstract: The present disclosure is related to processing, aggregating, and/or organizing data. A system may include a processor configured to process input data and identify a relationship amongst received input data in a data set. The system may also include an aggregator coupled to the processor and configured to receive processed data from the processor and aggregate data within the data set while maintaining one or more data relationships within the data set. Further, the system may include an annotation service module coupled to the aggregator and configured to generate at least one annotation that is maintained across at least a portion of the data within the data set.

Abstract: Systems and processes of comparing medical benefit options obtained from different, external sources are disclosed. The processes include a method of comparing plan benefits implemented in a computing system. The method includes: obtaining plan information associated with different plans from different external sources and which are related to pre-defined categories; normalizing the plan information into a common form for each of the pre-defined categories; and generating a visual display of a plurality of selectable and dynamically changeable areas each of which is associated with a pre-defined category of a different plan and which is populated with the normalized imported plan information in a standard format in a side-by-side manner.

Abstract: There is described a method for dynamically computing a patient dynamic risk score indicative of an adverse event occurring on a given day. The method comprises obtaining clinical documentation data, socio-demographic data, answers to remote patient monitoring questionnaires, and vital signs data. The method further comprises using, in a feedforward artificial neural network, the clinical documentation data, the socio-demographic data, the answers to remote patient monitoring questionnaires and the vital signs data to compute the patient dynamic risk score indicative of a risk indicative of the adverse event occurring on a given day.

Abstract: Disclosed and described systems, methods, and apparatus provided facilitate analysis, presentation, and comparison of clinical information. An example system includes a processor configured to provide a patient library interface. The interface displays a plurality of events along a patient timeline and a list of items for comparison to a clinical scenario. The scenario is specified in an interface configuration to trigger collection of the list of comparison items. The processor receives and adds items to the list based on a relevancy analysis of each item to the clinical scenario. The processor facilitates feedback to add, remove, and rate relevance of item(s) in the list. The processor displays item(s) from the list in conjunction with documentation from the clinical scenario and facilitates user interaction with the item(s) and documentation. The processor updates a data source based on the user feedback and user interaction.

Abstract: The present disclosure describes various clinical workflows and other methods that utilize a telemedicine device in a healthcare network. According to various embodiments, a healthcare practitioner may utilize a remote presence interfaces (RPIs) on a remote access device (RAD), such as a portable electronic device (PED) to interface with a telemedicine device. The healthcare practitioner may directly interface with a display interface of a telemedicine device or utilize the RPI on a RAD. The present disclosure provides various clinical workflows involving a telemedicine device to view patient data during a telepresence session, perform rounds to visit multiple patients, monitor a patient, allow for remote visitations by companions, and various other clinical workflow methods.

Abstract: A method for controlling an information terminal causes a computer of the information terminal to receive, from a case retrieval system, a plurality of similar medical images having a feature quantity of a region of interest and a certain degree of similarity in accordance with the region of interest included in a target medical image, displays a display screen displaying the plurality of received similar medical images on a touch panel display, the display screen including a display region in which at least some of the plurality of received similar medical images are displayed, displays, if selection of a first similar medical image from among the at least some of the plurality of received similar medical images displayed in the display region is detected, the first similar medical image across the display region, and displays, if a swipe operation performed on the first similar medical image is detected, a second similar medical image, which has second highest similarity next to the first similar medical im

Abstract: Methods and systems are described for initiating a pre-staged preparation related to a medical treatment to be provided to a patient at a healthcare facility using a hierarchical node network having an ID node, a master node, and a server. The ID node is associated with the patient and can communicate directly with the master node. The master node can directly communicate with the server and separately communicate with the ID node. The master node and ID node associate when the master node detects a signal broadcast from the ID node as the patient approaches the healthcare facility. The master node receives medical status information from the ID node and transmits the information to the server. The server determines the location of the ID node, and then initiates the pre-staged preparation related to the patient based upon the determined location of the ID node and the medical status information.

Abstract: Methods, systems, and computer-storage media are provided for providing explainability to an end-user on why a particular patient failed to qualify for a health-related measure. High-level clinical logic explainability rules are generated on top of high-level clinical logic used to identify members of a population who qualify and who do not qualify for the health-related measure. The explainability rules are designed to identify which components in the high-level clinical logic are not satisfied by the patient's health data, and, more specifically, which of the components' sub-criteria disqualified the patient from the health-related measure. The output of the explainability rules is structured into an easy-to-understand format that is presented on a user interface associated with an end-user such as a clinician.

Abstract: An adjudicated prescription claim transaction response is received and includes a total amount paid by the claims processor, a patient pay amount, and the pharmacy's Usual and Customary Charge amount for a product/service. The adjudicated response can be evaluated to determine it was approved/paid and the total amount paid by the claims processor is zero or less. An income audit evaluation may be conducted by comparing the patient pay amount to the Usual and Customary Charge amount. Based on the Usual and Customary Charge amount being less than or less than or equal to the patient pay amount, a reversal transaction can be generated and transmitted to a claims processor computer for adjudication. Further, the adjudicated prescription claim transaction response can be converted from an approved/paid response to (or replaced by) a rejected adjudicated prescription claim transaction response and transmitted to the pharmacy computer that initiated the prescription claim transaction.

Abstract: In an embodiment, a computer-implemented method presents a dynamically configured electronic health record system. In the method, registration information associated with a medical service provider is received for registering with an electronic health record system. A rules database is queried for a rule associated with the received registration information. Based on the rule, configuration information for the provider is generated and a user interface is transmitted to the provider based on the configuration information.