Abstract: A client device presents a user interface including a macro entry field for defining a macro indicator from a plurality of macro indicators and transmits the macro indicator. A server stores a database of macro-based diagnoses, each macro-based diagnosis associated with one or more elements of an accession, and one or more specimens associated with the accession. The server also receives the macro indicator from the client device, retrieves an initial diagnosis from the database of macro-based diagnoses responsive to the macro indicator, and transmits the initial diagnosis. The client device, receives the initial diagnosis, pre-populates one or more text boxes on the user interface with information from the initial diagnosis, and enables the user to edit the pre-populated one or more text boxes.

Abstract: A method and system for assessing the risk of a cardiac event in a patient which utilizes real-time and historical data from Electronic Medical Record (EMR) systems is described. A risk of a cardiac event is estimated, in real-time or near-real-time, for a patient who is currently in a hospital emergency department. Batch data for one or more past patients is extracted from EMRs into a machine learning model. Using the machine learning model, a risk level for one or more past patients is calculated. A real-time database is constructed from streams of real-time Health Level 7 (HL7) clinical data, wherein at least one stream of real-time HL7 data is associated with the current patient, and a risk prediction is estimated by joining the calculated risk level for the patient in the machine learning model with the real-time HL7 clinical data from the patient.

Abstract: A client device presents a user interface including a macro entry field for defining a macro indicator from a plurality of macro indicators and transmits the macro indicator. A server stores a database of macro-based diagnoses, each macro-based diagnosis associated with one or more elements of an accession, and one or more specimens associated with the accession. The server also receives the macro indicator from the client device, retrieves an initial diagnosis from the database of macro-based diagnoses responsive to the macro indicator, and transmits the initial diagnosis. The client device, receives the initial diagnosis, pre-populates one or more text boxes on the user interface with information from the initial diagnosis, and enables the user to edit the pre-populated one or more text boxes.

Abstract: Determining cohesion of healthcare groups and clinics based on billed claims. A method includes determining a target office billing identifier associated with one or more of a healthcare group or a healthcare clinic and determining a practitioner billing a carrier claim comprising the target office billing identifier. The method includes identifying a plurality of carrier claims billed by the practitioner over a time period. The method includes calculating a proportion of the plurality of carrier claims that comprise the target office billing identifier.

Abstract: Embodiments of the present disclosure provide a cloud-based integrated charting system that utilizes a universal mapping service across services and clients to provide insights for the provider into customizations made by clients. Additionally, the system provides content building tools that enable clients to customize content to update models provided by the provider. A mapping service maps model codes corresponding to model concepts to a plurality of standard based concept codes corresponding to client domain specific customized concepts for an ontology of the one or more ontologies. A workflow recommendation is provided that enables a user to chart data and includes the model concepts comprising charting elements. Accordingly, the data is stored in a client database in accordance with the client domain specific customized concepts. Since the model concepts are mapped to the client domain specific customized concepts, the workflow recommendation can be prepopulated with data from the client database.

Abstract: A system and method for obtaining prior authorization and fulfilling a prescription is described. The method includes receiving, by a computing device, prescription information for a patient from a prescriber; identifying, by the computing device, an electronic health record associated with the patient; collecting, by the computing device, medical information for the patient related to the prescription from the electronic health record; submitting, by the computing device, a claim for the prescription with a payor associated with the patient; and completing, by the computing device, a prior authorization request for the prescription.

Abstract: An automatic patient recruitment system is operable generate abnormality data for medical scans by performing at least one inference function on image data of each medical scans by utilizing a computer vision model trained on a training set of medical scans. A subset of a plurality of patients is identified to be eligible for a pharmaceutical study by identifying medical scans having abnormality data that compares favorably to abnormality criteria of the pharmaceutical study. A size of the subset is compared to a minimum participant count requirement. A notification indicating the subset of the plurality of patients is transmitted based on the size of the subset comparing favorably to the minimum participant count requirement.

Abstract: Systems and methods assist in gathering relevant data in a doctor-patient encounter for obtaining a properly specified diagnosis code. In one embodiment, selectable data items which are provided as part of a medical charting program may be correlated with one or more standardized diagnosis codes (e.g. ICD-10 codes). Upon selection of the appropriate data items when charting a patient encounter, one or more diagnosis codes which are correlated with the selected data items may be flagged and/or generated for later use, such as for filing a claim submission as part of a billing process or to further enhance the clinical workflow of patient encounter documentation.

Abstract: The present invention provides systems and methods for exchanging health data. A health data exchange platform includes health data from a plurality of data sources. The health data exchange platform preferably utilizes blockchain technology. The health data exchange platform includes both buyers of health data and suppliers of health data. The health data exchange platform includes a phenotype network system including at least one remote server, a user profile database, a report database, a permissions database, a geographic incident database, and a medical community database.

Abstract: A method and apparatus include receiving, by a device, medical information associated with a user. Inquiry information is determined based on the medical information associated with the user and a reinforcement learning model. The inquiry information is provided to permit response information to be received. The response information is received based on providing the inquiry information. Diagnosis information is determined based on the medical information and the response information using a machine learning model. The diagnosis information is provided to a set of devices via a network.

Abstract: In an approach to predictive contact tracing, a computer receives a query associated with contact tracing of a person with an infection. A computer retrieves timestamped location data associated with the person over a period of time. Based on the retrieved data, a computer creates a contact graph associated with the person, where the contact graph depicts one or more other people that were in contact with the person over the period of time. A computer retrieves medical data associated with the person and the one or more other people that were in contact with the person over the period of time. Based on the retrieved data, a computer builds a probabilistic model. A computer runs the probabilistic model to provide a prediction of a probability of infection of the one or more other people over the period of time as a result of being in contact with the person.

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: 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: 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: 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: 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 for operating an apparatus for predicting confirmed cases of an infectious disease is provided. The method comprises predicting infectious disease information per country, including an infection risk per country, expected number of entrants per country, and number of imported cases per country, based on collected epidemic statistics data per country and inflow data between a corresponding country and a destination country, grouping two or more countries based on geographic or economic relevance, and correcting the infectious disease information per country of countries within a grouped group according to a contagion risk impact set depending on a correlation between the countries within the group, and predicting total number of imported cases flowing into the destination country by re-correcting the infectious disease information per country through applying a correlation for the confirmed cases of the infectious disease between groups to the infectious disease information per country.

Abstract: Methods, non-transitory machine readable media, and network stack analysis devices that generate optimized preferred provider organization (PPO) network stacks are disclosed. With this technology, electronic transactions are applied to each of a first plurality of network stacks to determine a cost reduction value for each of the first network stacks. Each of the first network stacks includes an ordered subset of networks. The first network stacks are resampled based on the determined cost reduction values. A determination is made when one or more convergence criteria are met by the resampled first network stacks. When the determination indicates that the convergence criteria are not met by the resampled first network stacks, one or more of the first network stacks are modified based on genetic crossover or mutation operation(s) to generate a second plurality of network stacks. The application, resampling, and determination are then repeated for the second network stacks.

Abstract: Determining cohesion of healthcare systems and facilities based on billed claims. A method includes determining a target procedure billing identifier associated with one or more of a healthcare system or a healthcare facility and identifying a practitioner associated with a facility claim comprising the target procedure billing identifier. The method includes identifying a plurality of facility claims billed by the practitioner over a time period and calculating a proportion of the plurality of facility claims that comprise the target procedure billing identifier.

Abstract: Systems and methods for data unfolding are disclosed. For example, it may be desirable or necessary to increase a data set, such as for increasing accuracy of one or more predictive models. Data set proliferation without introducing unnecessary bias may be important for increasing such accuracy. Described herein are system and methods that allow for data set proliferation by generating records based on whether an event occurred with respect to an entity during multiple time intervals. A record may be generated for each time interval and the associated data may be unfolded and disassociated, at least partly, from other records related to the entity. Those records may then be used for data analytics and/or predictive model generation, for example.