Abstract: Methods, systems, and computer-readable media are provided for building a score plan for a healthcare organization, its providers, its payers, and/or its patients and presenting the results of the score plan on one or more score card user interfaces. Score cards graphically display an entity's progress towards meeting quality measure objectives. The score cards provide information on percentage completion of one or more quality measure objectives by the entity and/or quality measure objectives that may be difficult for the entity to achieve.

Abstract: A system provides artificial intelligence health support for people. The system renders specific, targeted treatments for people by using a flow engine and a conversational service to call one or more conversational modules. The treatments for the people may be tracked. The flow engine and/or one or more of the modules may include different instructions to perform for different programs and/or goals that have been configured. The flow engine and/or one or more of the conversational modules may also include instructions to perform when certain features are active (which may be activated when certain programs and/or goals are configured), when data regarding activity for people are received, and so on. Other modules may be dedicated to particular programs and/or goals. Some modules may determine whether or not to perform various instructions repetitiously, and/or may determine to do so when a priority of a previous instruction is below a threshold.

Abstract: According to one method for using machine learning in detecting drug diversion, the method comprises receiving, as input, an observed drug dispensation amount associated with a drug dispensation event related to a drug provider along with other drug dispensation event data, wherein the drug dispensation event data comprises drug provider information, procedure information, and patient information; generating, using a trained drug diversion detection algorithm and the drug dispensation event data, an expected drug dispensation amount associated with the drug dispensation event and determining, using the observed drug dispensation amount and the expected drug dispensation amount, whether the observed drug dispensation amount is aberrant, wherein the drug diversion detection algorithm includes at least one machine learning algorithm and is trained using one or more data sets associated with related drug dispensation events; and outputting, by the drug diversion detection algorithm, information indicating that th

Abstract: Embodiments generally relate to a surgical resource allocation system. Patients seeking a procedure can use the system to identify surgeons and surgical facilities. The patient can then use the system to book the procedure with a selected surgeon at a selected facility. In an example, a patient can indicate a need for a certain procedure. The patient can then provide criteria for a surgeon or facility, such as a desired location, desired time, surgeon rankings, and facility rankings. The system can then identify surgeons and facilities that match the criteria and present them for selection by the patient. The patient can then select the surgeon and facility with which the patient would like the procedure performed. With the surgeon and facility selected, the patient can then choose to book the procedure.

Abstract: The invention relates to a method performed by at least one apparatus, the method comprising: Obtaining release information representative of a release of a medical module of a medical kit comprising one or more medical modules; and releasing or triggering release of the medical module of the medical kit. The invention further relates to a method performed by at least one apparatus, the method comprising obtaining a user input of a user indicating the release of a medical module of a medical kit comprising one or more medical modules; and providing release information representative of the release of the medical module of the medical kit. The invention also relates to corresponding apparatuses, computer program products and computer-readable storage media.

Abstract: A method and system is disclosed for receiving patient test data from a point of care device for a medical test performed on a patient using the point of care device, performing device specific processing on the received patient test data by processing the received patient test data to identify a device type from the received patient test data, and reformatting the received patient test data according to a test type using the identified device type, and transmitting the reformatted patient test data to a remote server system over a network.

Abstract: A method is for comparing reference values in medical imaging processes of different medical imaging devices. In an embodiment, the method includes providing a data base of reference values, each reference value of the data base being assigned to a defined global identification specifying the medical imaging process; creating a label for the medical imaging process at a local medical imaging device using the defined global identification; and providing a mapping assigning a local identification to the defined global identification, for supporting the creation of the label for the medical imaging process.

Abstract: The invention relates to a method performed by at least one apparatus, the method comprising: Obtaining release information representative of a release of a medical module of a medical kit comprising one or more medical modules; and releasing or triggering release of the medical module of the medical kit. The invention further relates to a method performed by at least one apparatus, the method comprising obtaining a user input of a user indicating the release of a medical module of a medical kit comprising one or more medical modules; and providing release information representative of the release of the medical module of the medical kit. The invention also relates to corresponding apparatuses, computer program products and computer-readable storage media.

Abstract: A system for signaling coordinated workers in a common goal through intelligent icons transferred across networks to computer screens. The system can comprise one or more electronic data processors. The system can also include a module configured to execute on the more or more electronic data processors, where the module can be configured to display a plurality of intelligent icons, each containing authorizing information that is retained in a file associated with a authorizing entity on a computer screen. The intelligent icons can be potentially loaned to authorized individuals on a list and used to authenticate users of the system with biometric, image, machine readable codes stored surreptitiously within the intelligent icon. Also, the intelligent icon can be used for friend-foe identification in battlefield and homeland security/border control scenarios.

Abstract: The invention relates to methods, systems, and computer-readable media related to a system having a plurality of users, designed to display a user-customized subset of item and/or provider information to the user.

Abstract: Methods and systems are provided for cognitive behavioral therapy. A first set of data and a second set of data related to a health attribute are received, over a first time period. The first and second sets of data are displayed in a first and a second graphical item. A graphical button is displayed on the first graphical item and configured to move it on a display. Using the graphical button, the first graphical item is, at least partially, overlaid upon the second graphical item. In response to the overlaying a third set of data is generated and displayed in a third graphical item. The third set of data is at least partially based on associating the first set of data with the second set of data using one or more sets of rules that establish the relationship between the first set of data and the second set of data.

Abstract: Improved risk categorization is provided for clinical decision support and forecasting future health care spend. A risk index is provided that improves on other risk stratification models by synthesizing electronic medical records and health questionnaires with an individual patient's claim histories. Machine learning algorithms catalogue patients into distinct group clusters, based on risk which may be associated with annual health care spending, thereby enabling administrators to forecast future health care spending on the individual and population level.

Abstract: Methods and apparatus, including computer program products, are provided for processing analyte data. In some example implementations, a method may include generating glucose sensor data indicative of a host's glucose concentration using a glucose sensor; calculating a glycemic variability index (GVI) value based on the glucose sensor data; and providing output to a user responsive to the calculated glycemic variability index value. The GVI may be a ratio of a length of a line representative of the sensor data and an ideal length of the line. Related systems, methods, and articles of manufacture are also disclosed.

Abstract: Computer and mobile device-based systems and computer-implemented methods are described for automated medication adherence improvement for patients in medication-assisted treatments. The computer and mobile device-based systems includes modules and components to help patients in identifying prescribed medications, logging medication events, and to provide patients with personalized and targeted adherence enhancing interventions consisting of short questions, tips, advices, suggestions, strategies etc. by applying data mining and statistical analysis techniques on the individual and population-level data collected primarily from the same system.

Abstract: A system and method for medication delivery. Information is received indicating a user is scheduled to receive medication. A route between a dispensary storing the medication and a location of the user is determined. The medication is sent in a container from the dispensary to the location utilizing the route.

Abstract: Methods and systems are provided for detecting a mental health condition. Structured and unstructured information is analyzed using natural language processing to extract information including clinical data values and medical concepts pertaining to a user. Reference medical information is evaluated using natural language processing to correlate medical data with mental health conditions. A classification for a mental health condition of the user is determined using a machine learning model and based on the extracted information and correlations, wherein the extracted information includes blood analysis for the user. The user is assigned to a segment of users based on the extracted information. A treatment for the mental health condition of the user is indicated based on the classification and the assigned segment of users.

Abstract: A system and method are disclosed for the collection and aggregation of genomic, medical, and other data of interest for individuals and populations that may be of interest for analysis, research, pharmaceutical development, medical treatment, and so forth. Contributors become members of a community upon creation of an account and providing of data or files. The data is received and processed, such as to analyze, structure, perform quality control, and curate the data. Value or shares in one or more community databases are computed and attributed to each contributing member. The data is controlled to avoid identification or personalization. Third parties interested in the database information may contribute value (e.g., pay) for access and use. Value flows back to the members and to a system administrative entity.

Abstract: A medical imaging system comprises an operator terminal configured to obtain at least one image of a patient generated by a medical imaging device, receive one or more notes pertaining to the at least one image from an operator of the medical imaging device, store a clean set of images including the at least one image in at least one server, annotate the at least one image with the one or more notes to generate a set of annotated images; tag the set of annotated images as non-persistent, and store the set of annotated images in the at least one server; wherein the at least one server is configured to provide to a physician terminal both the clean set of images and the annotated set of images stored for the patient and automatically delete the one or more images tagged as non-persistent after review thereof by the physician.

Abstract: An industrial machine startup control system for controlling startup of an industrial machine, the industrial machine startup control system including: a vital data measurement device that measures vital data of a worker; a health state analysis device that acquires the vital data of the worker measured by the vital data measurement device, and that determines a health state of the worker based on the acquired vital data; and a startup control device that controls whether or not to allow startup of the industrial machine based on the determination result from the health state analysis device.

Abstract: A peer system of subjects with health-related issues is formed based on an association of subjects and a particular type of electronic device or devices which provides information related to a specific health-related issue or issues obtained from particular subjects. By means of such associations, subjects can transmit to and receive messages from other subjects associated with the same type of electronic device. One way to associate subjects with health-related issues is through an association of a subject with a type or types of sensors. For example, each monitoring device may be associated with a subject, and the type or types of sensor or sensors may be associated with the subject and/or monitoring device. Devices, systems, methods and computer program products may be provided leveraging this association for various applications, e.g.