Abstract: Systems and methods for providing world-wide access to prescribed medications are disclosed. A unique patient identifier is received and verified to match stored patient identifiers. Identification information is received and is verified to match stored information. A unique pharmacist identifier is received and is verified to match stored pharmacist identifiers. Prescriptions associated with the received unique patient identifier are displayed and one or more are selected. Dispensation information, including an amount of medication dispensed, a time and date of dispensation, and a reason for dispensation are received and the prescription database is updated accordingly.

Abstract: Systems and methods for individual risk factor identification include identifying common risk factors for one or more risk targets from population data. Individuals are stratified into clusters based upon the common risk factors. A discriminability of each of the common risk factors is determined, using a processor, for a target cluster using individual data of the target cluster to provide re-ranked common risk factors as individual risk factors for the target cluster, such that the discriminability is a measure of how a risk factor discriminates its cluster from other clusters.

Abstract: A method has been provided that associates insurance payment linking information with litigation information and associates insurance payment information with the insurance payment linking information and the litigation information to identify a potential third-party claim or a potential subrogation claim. Associating the insurance payment linking information with the litigation information may further include associating at least one medical procedure code with at least some of the litigation information.

Abstract: A system links data objects associated with a common event and includes at least one processor. The system compares data objects associated with an entity and corresponding to a plurality of events for the entity, wherein the data objects are stored within a plurality of different source systems. Candidate data objects associated with a common event for the entity are identified based on the comparing. The candidate data objects are linked to form a set of data objects representing the common event for the entity. Embodiments of the present invention further include a method and computer program product for linking data objects associated with a common entity.

Abstract: A computer-implemented system to facilitate access to a plurality of automated applications via a healthcare network including a plurality of devices The system is configured to maintain a first association between each of the plurality of automated applications and at least one defined input; and for each of the at least one defined input, a second association between the predefined input and a corresponding action. Responsive to receipt of a first defined input from a first device, the system identifies, based on the first association, at least one automated application. Further, the system triggers, based on the second association, at least one of the identified automated application to perform the action corresponding to the first defined input in order to process medical information associated with the first defined input; and causes at least one of the identified automated application to communicate information relating to the action to the first device.

Abstract: Methods and apparatus for facilitating monitoring in a clinical trial. The method includes acts of receiving data from at least one information technology system configured to process clinical trial data, and assigning a site prioritization to each of a plurality of sites for at least one clinical trial associated with the at least one information technology system. Assigning a site prioritization is based, at least in part, on the received data. The method further includes an act of outputting an indication of the site prioritization.

Abstract: A system for utilizing diagnostics for informed vibrant constitutional guidance includes a diagnostic engine operating on at least a server and configured to receive a first training set including a plurality of first data entries, receive a second training set including a plurality of second data entries, receive at least a biological extraction from a user and generate a diagnostic output including at least a prognostic label and at least an ameliorative process label using the first training set, the second training set, and the at least a biological extraction. The system includes at least an advisory module operating on at least the server and configured to generate at least an advisory output as a function of the diagnostic output and transmit the at last an advisory output to at least an advisor client device.

Abstract: Methods and systems for managing care team assignment's for individuals, such as a patient, are provided. Embodiments include receiving indicators of actions that are initiated by a clinician and associated with a patient's care. Using times associated with each action, a time series indicating contribution levels for each clinician may be constructed. Care contribution curves measuring a clinician's care contribution level over time may be generated using the time series and a rate of decay for each action, which may be based on the type of action and the role of the clinician who initiated the action. A care contribution score for each clinician may be determined from the clinician's care contribution curve, and a care team assignment for the patient may be created based on care contribution scores for each clinician who initiated an action.

Abstract: A method for enrolling patient candidates in a clinical trial includes generating first prediction data indicating predicted progression of a condition for a first group of patients that participated in a first clinical trial using a predictive model and clinical data associated with the first group of patients; grouping clinical trial data into subsets based on the first prediction data; analyzing each subset of clinical trial data to generate a measure of efficacy of the treatment; establishing screening criteria for a second clinical trial by identifying at least one subset that has a measure of efficacy that is higher than a measure of efficacy of the treatment for the full first group of patients; receiving clinical data of a candidate for the second clinical trial; generating second prediction data for the candidate; and enrolling the candidate in the second clinical trial when the second prediction data satisfies the screening criteria.

Abstract: Systems and methods are disclosed for visualizing medical data. In one implementation, the systems each comprise a database, a memory that stores a set of instructions and at least one processor in communication with the memory configured to execute the set of instructions so the system may receive the medical data in one or more formats from a plurality of sources, the medical data comprising a plurality of events associated with one or more patients, convert the medical data from the one or more formats to a standardized data format, store the standardized data in the database, receive a query comprising at least one patient characteristic, query the database to identify a patient associated with the at least one patient characteristic, generate a graphical user interface to include the standardized data represented as a timeline of events associated with the identified patient and display the generated graphical user interface.

Abstract: A computer-based system to determine whether patients should be treated as inpatients or outpatients. The invention makes personalized predictions about the risk and timing of adverse outcomes for the patient, and further assesses how this risk and timing may vary if the patients are treated as inpatients or outpatients. This information informs how patients are assigned to an appropriate therapy. The invention includes logic relevant to predicting patient risk, decoupling patient risk into components inherent to the patient as well as additions/subtractions associated with the choice of treatment, and predicting the timing of adverse outcomes given censored data. The invention can be extended to use in a broad range of other application domains (e.g., matching learners to courses either offered in-classroom or online for education).

Abstract: Disclosed herein are systems and methods of generating and displaying health-related information to a user, the health-related information being associated with a desired medical operating environment and/or a particular healthcare operating environment and/or an individual such as a patient, caregiver, staff member, etc.

Abstract: A system associated with determining physician attribution related to in-patient care based at least on prediction of attribution values associated with patient-physician attribution is disclosed. The system extracts clinical data associated with a patient from a first database, with the extracted clinical data comprising clinical information related to the patient and the clinical information including vector values indicative of clinical progress of the patient at various stages of treatment. The system stores the extracted clinical data in a second database and determines attribution values using the attribution manager with the attribution values being based on a predictive analysis using predetermined weights associated with the vector values. A training data set is generated based on learned weight values associated with the clinical progress of the patient. The system iteratively updates the vector values of the patient at least using a predictive analysis associated with the training data set.

Abstract: A surgical workflow system for performing a surgical procedure. The surgical workflow system comprises one or more locators arrangeable to determine locations of a plurality of surgical objects. Information conveyor devices are coupled to the one or more locators and are assigned to different participants in the surgical procedure. A workflow controller accesses a pre-scripted workflow having a plurality of workflow steps associated with the surgical procedure, identifies a change event that indicates a deviation from the pre-scripted workflow, determines event information tailored to the different participants based on the change event, and transmits the event information to the participants through the plurality of information conveyor devices so that different event information can be conveyed to the different participants, wherein the event information is provided in the context of the surgical objects.

Abstract: Provided is a system configured to allocate healthcare resources for population health management using time values, health scores, or health condition labels stored in a population of records.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining anomalous brain data. One of the methods includes obtaining brain data characterizing brain activity of a patient; for each of a plurality of pairs of parcellations comprising a first parcellation and a second parcellation, processing the brain data to generate a correlation between the brain activity of the first and second parcellations; obtaining second connectivity data that characterizes, for each of the plurality of pairs of parcellations, a normal range of correlations between the brain activity of the first and second parcellations; identifying one or more of the plurality of pairs of parcellations for which the correlation between brain activity of the first and second parcellations is outside of the corresponding normal range of correlations; and providing data characterizing the one or more identified pairs of parcellations for display to a user on a graphical interface.

Abstract: Mechanisms are provided to implement a patient summary generation engine with deduplication of instances of medical concepts. The patient summary generation engine parses a patient electronic medical record (EMR) to extract a plurality of instances of a medical concept, at least two of which utilize different representations of the medical concept. The patient summary generation engine performs a similarity analysis between each of the instances of a medical concept to thereby calculate, for a plurality of combinations of instances of the medical concept, a similarity metric value. The patient summary generation engine clusters the instances of the medical concept based on the calculated similarity metric values for each combination of instances in the plurality of combinations of instances of the medical concept to thereby generate one or more clusters, and select a representative instance of the medical concept from each cluster in the one or more clusters.

Abstract: A method, system and medium are provided for enabling re-creation of a time-ordered sequence of clinical data. Sets of data elements for a patient are received in sequence from a clinical system, and for each data element a time stamp is attached. For any given set of data elements, a maximum time stamp is determined, implying that all events in a clinical system resulting in modifications to data elements contained in the set occurred on or before the maximum time stamp. A subsequent retrieval from a clinical system yields a set of data elements in which the time stamp for each data element occurs after the maximum time stamp from the previous set.

Abstract: A medical data cluster processing system, including: a cluster initiator device and cluster participant devices that have signal connection with each other. The cluster initiator device sends model data and medical data to at least two cluster participant devices; the cluster participant devices receive the model data and the medical data from the cluster initiator device, process the medical data based on the model data to obtain second processing data, and sends the second processing data to the cluster initiator device; and the cluster initiator device receives the second processing data sent from the at least two cluster participant devices, and comprehensively processes the second processing data to obtain a medical data processing result. A medical data processing method and a medical data cluster processing method are also provided.

Abstract: The invention is a computer-implemented method and apparatus that delivers information to a prescriber that is prescribing medication via an electronic prescription system, the information is delivered at the time of entering the prescription and prior to completion of entering the prescription information. The information delivered is responsive to information about the prescriber, the patient, and/or other relevant conditions from any or all of a number of sources. The information delivered to the prescriber may include drug interaction information, warnings, legally required statements, potential alternative medications, advertisements, coupons, etc. The data to which the specific information delivered to the prescriber is responsive may include prescriber information, such as the location, age, gender, medical specialty, practice size, geographic location etc, information about the patient, such as age, gender, insurance information, location, previous medical history, height, weight, etc.