Abstract: Methods, systems, and computer-storage media are provided for utilizing multiple Picture Archiving Communication Systems (PACS) to view one more medical images by storing one or more PACS at a database within the system. Requests are received from one or more users at one or more facilities to utilize one or more PACS to view one or more medical images. After accessing the database to determine one or more PACS authorized for each facility from which a request is received, one or more users are provided with one or more PACS to view medical images associated with radiological exams and provide the necessary assessments and reports for treatment.

Abstract: A care plan risk rating (CPR2) system and method enables physicians and other clinicians to manage patient health care plans remotely in response to patient input to generate CPR2 values. In one aspect, patients under care for a particular condition respond to a series of questions related to that condition. The questions may be weighted according to predetermined criteria which a physician or clinician may set. Based on the CPR2 values, the physician or clinician may alter a care plan for a patient or a group of patients. In one aspect, patients with CPR2 values in a predetermined range may be grouped into a cohort, and their care plans managed as a group.

Abstract: Described is a system comprising an input module receiving a first data set indicative of at least one patient condition for each of a plurality of patients obtained during a predetermined time period, a comparison module comparing each of the at least one patient condition to at least one filter criteria, a filter module selecting a patient to include in a second data set if the at least one patient condition of the patient satisfies the at least one filter criteria, a report module generating a report based on the second data set, wherein the report includes at least one patient identifier for each patient in the second data set and at least one descriptor of the at least one patient condition for each patient in the second data set, and a classification module storing at least one classification value for the at least one patient condition.

Abstract: A system, a method and non-transitory computer readable medium are provided. The method includes receiving a message from a gateway. The message includes an identification parameter associated with the gateway that received a ping from a beacon. The message also includes a beacon identifier of the beacon that transmitted the ping, the ping included the beacon identifier. The message further includes a derived signal strength parameter that indicates a proximity of the beacon to the gateway when the beacon transmitted the ping. The method also includes acquiring an outcome associated with medical-care that is provided by a medical provider to a patient. The method further includes identifying a cost associated with the medical-care provided by the medical provider based in part on the received message. The method additionally includes generating a value score that relates the identified cost of providing the medical-care to the patient, to the acquired outcome.

Abstract: A method for building a cloud-based medical image database for the protection of patient information. A method for building a cloud-based medical image database and reading a medical image therefrom includes a acquiring a medical image of a patient by a medical device; separating patient information data from medical information data in the medical image; encrypting the patient information data using a block chain technique; separately transmitting the encrypted patient information data and the medical information data to a cloud database and storing the same in the cloud database; decrypting the encrypted patient information data stored in the cloud database, using the block chain technique; and reading the medical image to perform diagnosis and consulting for the patient.

Abstract: A multi-model medical scan analysis system is operable to generate a plurality of training sets from a plurality of medical scans. Each of a set of sub-models can be generated by performing a training step on a corresponding one of the plurality of training sets. A subset of the set of sub-models is selected for a new medical scan. A set of abnormality data is generated by applying a subset of a set of inference functions on the new medical scan, where the subset of the set of inference functions utilize the subset of the set of sub-models. Final abnormality data is generated by performing a final inference function on the set of abnormality data. The final abnormality data can be to a client device for display via a display device.

Abstract: Comprehensive molecular profiling provides a wealth of data concerning the molecular status of patient samples. Such data can be compared to patient response to treatments to identify biomarker signatures that predict response or non-response to such treatments. This approach has been applied to identify biomarker signatures that strongly correlate with response of colorectal cancer patients to FOLFOX. Described herein are data structures, data processing, and machine learning models to predict effectiveness of a treatment for a disease or disorder of a subject having a particular set of biomarkers, as well as an exemplary application of such a model to precision medicine, e.g., to methods for selecting a treatment based on a molecular profile, e.g., a treatment comprising administration of 5-fluorouracil/leucovorin combined with oxaliplatin (FOLFOX) or with irinotecan (FOLFIRI).

Abstract: A user interface system enables user selection of related parameters identifying an order for providing an item or service. The system employs a repository including information identifying candidate items or services for order and associated corresponding related order parameters in which an individual item or service for order is associated with multiple related order parameters. A user interface processor for, in response to user entry of order associated data, uses the repository in providing data representing a display image. The display image includes, an initial single candidate order including multiple order related parameters, order related parameter identifiers, multiple concurrently displayed columnar image areas correspondingly associated with the multiple order related parameters and individually incorporating multiple user selectable values for a respective individual order related parameter.

Abstract: In a method, computer and medical imaging apparatus for the provision of confidence information, an automatic diagnosis system is provided to the computer. Medical image data acquired from a patient are received by or accessed by the computer. A measure of confidence is determined by the computer, which describes the reliability of a correct diagnosis of the medical image data by the diagnosis system. The confidence information concerning the reliability of the correct diagnosis of the medical image data by the diagnosis system is provided as an output from the computer, wherein the confidence information is based on the determined measure of confidence.

Abstract: A medical scan header standardization system is operable to determine a set of standard DICOM headers based on determining a standard set of fields and based on further determining a standard set of entries for each of the standard set of fields. A DICOM image is received via a network, and a header of the DICOM image is determined to be incorrect. A selected one of the set of standard DICOM headers to replace the header of the DICOM image is determined. The selected one of the set of standard DICOM headers is transmitted, via the network, to a medical scan database for storage in conjunction with the DICOM image.

Abstract: Systems and methods are provided for optimizing basal administration timing in a standing basal insulin regimen of a subject. The regimen specifies a total amount of basal insulin medicament, one or more basal injection event types for a recurring period, and an apportionment of the total amount of medicament between the injection event types. Time stamped glucose measurements of the subject are obtained over a past time course comprising a plurality of instances of the recurring period. When the glucose measurements satisfy a stop condition, a recommended adjustment is determined that comprises a change in the number of injection event types in the regimen and/or a change in the apportionment of insulin medicament between injection event types. The recommended adjustment is communicated to the subject for manual adjustment of the regimen, an insulin pen charged with delivering the regimen to the subject, or a health care practitioner associated with the subject.

Abstract: A system for constitutional analysis using objective functions includes a computing device configured to generate a ranked list of diseases, by determining a plurality of disease impact score vectors for plurality of diseases, and generating and optimizing a first objective function of the impact score vectors, to receive, from a user, a plurality of user physiological history data, to identify, as a function of a disease state classifier, a plurality of disease states associated with the plurality of user physiological history data, to match at least a disease state of the plurality of disease states to the ranked list of diseases, and to generate a curative habitual pattern to alleviate the at least a disease state by combining intervention elements to form a curative habitual pattern candidates, calculating a curative impact score of each curative habitual pattern candidate, and selecting the curative habitual pattern using the curative impact score.

Abstract: A method that includes receiving a request on a mobile device from a user to access first performance data indicative of at least one performance metric of a physician is provided. The method includes receiving confirmation that the user has been authenticated as the physician and receiving the first performance data indicative of the at least one performance metric of the physician for a period of time. In some embodiments, the method further includes configuring the first performance data for display in a format specific to the mobile device and providing the formatted first performance data for display on the mobile device. A mobile device and a system to perform the above method are also provided.

Abstract: Various systems and methods for tracking surgical procedure costs are disclosed. A computer system, such as surgical hub, is configured to be communicably coupled to a plurality of surgical devices. The computer system can be programmed to identify the surgical devices that are being utilized during a surgical procedure via perioperative data received from the surgical devices and then calculate the total cost associated with the surgical devices used in the surgical procedure. The total cost can include an aggregation of the maintenance costs of each of the reusable surgical devices and the replacement costs of the nonreusable surgical devices consumed during the surgical procedure.

Abstract: A model-assisted annotating system is operable to receive a first set of annotation data for a first set of medical scans from a set of client devices. A computer vision model is trained by utilizing first set of medical scans and the first set of annotation data. A second set of annotation data for a second set of medical scans is generated by utilizing the computer vision model. The second set of medical scans and the second set of annotation data is transmitted to the set of client devices, and a set of additional annotation data is received in response. An updated computer vision model is generated by utilizing the set of additional annotation data. A third set of annotation data is generated for a third set of medical scans by utilizing the updated computer vision model for transmission to the set of client devices for display.

Abstract: A computer system for identifying medical care providers outside a process-of-care standard for a field of health care is configured to perform steps that include retrieving claim line item information including procedure/service codes, and retrieving definitions for marker code groups associated with each of a set of medical conditions; deriving, for each marker-condition pair, an actual rate of utilization of the marker code group for episodes of the associated medical condition; and assigning a status to each marker-condition pair in response to the actual rate of utilization respectively exceeding or not exceeding a target rate. The steps also include aggregating the statuses across the marker-condition pairs to obtain an overall score, and causing an output to be displayed in a viewable format. The output includes the overall score, each marker-condition pair of the set of medical conditions, and the status for each marker-condition pair of the set of medical conditions.

Abstract: A method for identifying a change associated with a state of health of a user. In one embodiment, the method includes at least one computer processors receiving monitoring data associated with monitoring a user, where the monitoring data is generated by one or more sensors. The method further includes determining a state of health of the monitored user by analyzing the monitoring data utilizing one or more models. The method further includes determining a level of urgency based, at least in part, upon the determine state of health of the monitored user. The method further includes transmitting one or more respective notifications to one or more devices based, at least in part, on the determined state of health of the user and the corresponding level of level of urgency, and where a notification includes a determined state of health and the corresponding determined state of urgency associated with the monitored user.

Abstract: A system is integrated with a hospital information system (HIS) to provide patient health insurance information identifying patient medical insurance eligibility coverage by sorting and parsing hatched electronic transaction message data to provide information to an HIS to facilitate accurate billing and account follow up. A system acquires patient medical insurance coverage identification data for use in medical reimbursement claim generation. An acquisition processor acquires medical insurance coverage information associating medical insurance coverage identifiers with corresponding patient identifiers for multiple different patients. A display processor initiates generation of data representing at least one display image for presenting an acquired medical insurance coverage identifier and corresponding patient identifier and enabling a user to initiate storage of the medical insurance coverage identifier in a record associated with the patient identifier in a healthcare information system.

Abstract: The technology disclosed relates to enhancing trust for person-related data sources by tracking person-related sources using trust objects that hold trust metadata. In particular, it relates to generating trust-enhanced data by appending trust metadata to social media content and other business-to-business entities, and further using the trust-enhanced data to develop social engagement models based on customer preferences. The trust metadata described includes names, interface categories and origins of the person-related data sources along with customer engagement preferences and connection types.

Abstract: Systems and methods for a computer machine system including one first computer memory having a first database and a second database. The first database is configured to store eligibility data for individuals associated a group healthcare plan, a set of user identifiers, one or more demographic information from the specific user, and one or more eligibility data. The second database is configured to store a plurality of rules for a claim submission associated with each group healthcare plan, originating payors associated with the claim submission, each originating payors having at least one data submission requirement associated with the claim submission, and a rule for a processed claim submission associated with each of the plurality of originating payors. The originating payors transmit the eligibility data for the individuals associated with the group healthcare plan such that the data submission requirement for each of the originating payors is mapped to the database.