Abstract: Techniques for administering a care plan for a patient. A monitoring device is selected, at a care plan management system based on a care plan, to use in administering the care plan. The care plan specifies biometric data to monitor for a patient. The monitoring device is configured to collect the biometric data, based on the care plan. The biometric data collected using the monitoring device is received at the care plan management system. The biometric data includes a first event initially classified as a first type of event using the monitoring device. The first event is selected for reclassification, based on the initial classification, and in response the first event is reclassified as a second type of event using the care plan management system. The patient is treated based on the care plan and the reclassified first event.

Abstract: One variation of a method for accessing medication parameters for prescription medications includes: reading a unique identifier from a medication cartridge installed in a medication dispenser; based on the unique identifier and a dispenser identifier assigned to the medication dispenser, confirming assignment of the medication cartridge to the medication dispenser; based on the dispenser identifier, retrieving medication parameters for a medication contained in the medication cartridge; and at the medication dispenser, outputting a dynamic visual queue to consume a dose of the medication from the medication cartridge during a medication window, the medication window of a duration based on the medication parameters.

Abstract: Devices, systems, and methods are provided for adherence monitoring and patient interaction. In general, the devices, systems, and methods can facilitate a patient's adherence to a medication schedule and can facilitate monitoring and tracking of the patient's adherence to the medication schedule. In one embodiment, a medical accessory such as a cap is provided that can be configured to attach to existing medication dispensers, such as asthma inhalers, or to be integrated into a custom-made medication dispenser. The accessory can be configured to provide a notification to the patient when medication is due. The accessory can be configured to detect usage of the dispenser. The accessory can be configured to provide data regarding dispensing of the medication to an external device. The data can be analyzed and provided for visualization on a user interface.

Abstract: Provided herein are methods and systems for making patient-specific therapy recommendations of an anti-diabetic therapy for patients with known or suspected cardiovascular disease, such as atherosclerosis.

Abstract: Provided herein are methods and systems for making patient-specific therapy recommendations of an anti-inflammatory therapy for patients with known or suspected cardiovascular disease, such as atherosclerosis.

Abstract: A mechanism is provided in a data processing system comprising least one processor and at least one memory, the at least one memory comprising instructions executed by the at least one processor to cause the at least one processor to implement a clinical decision support system. The mechanism receives a plurality of patient electronic medical records (EMRs) for a patient from a plurality of different sources. For a portion of a patient EMR record of the plurality of patient EMRs, the mechanism detects entities and analyzes a document structure of the portion of the patient EMR to identify a hierarchical structure of the portion of the patient EMR. The mechanism generates a container representation of the portion of the patient EMR based on the hierarchical structure. The mechanism placing each of the one or more sentences within the container representation based on relative position within the hierarchical structure.

Abstract: Provided herein are methods and systems for making patient-specific therapy recommendations of an anti-inflammatory therapy for patients with known or suspected cardiovascular disease, such as atherosclerosis.

Abstract: In some examples, a processor of a system evaluates a therapy program based on a score determined based on a volume of tissue expected to be activated (“VTA”) by therapy delivery according to the therapy program. The score may be determined using an efficacy map comprising a plurality of voxels that are each assigned a value. In some examples, the efficacy map is selected from a plurality of stored efficacy maps based on a patient condition, one or more patient symptoms, or both the patient condition and one or more patient symptoms. In addition, in some examples, voxels of the efficacy map are assigned respective values that are associated with a clinical rating scale.

Abstract: Provided is a system for delivering and recording a dose of a medicament to a patient. Also provided is a method of administering a medicament to a patient. Additionally provided is a method of tracking usage of a medicament by a patient through a pen.

Abstract: Embodiment of the invention provide a method for determining a health index of a property area. The method comprises acquiring property data associated with a property area from a data source, and extracting a first property attribute data from the property data acquired. The first property attribute data extracted is used to determine presence or movement of a first pollutant data within the property area. The method further comprises determining a first potential impact data the first pollutant data may have on individual health based in part on the first property attribute data extracted, and computing a property score representing a health index of the property area based in part on the first potential impact data determined.

Abstract: Systems, and methods relate to a medical device receiving a treatment parameter operating point within a first operating region defined by a first set of operating points for which automatic incremental adjustment of a parameter in the current operation is permitted. In an illustrative example, incremental adjustment may use artificial intelligence based on patient feedback and sensor measurement of outcomes. Some exemplary devices may receive a request to alter the current treatment parameter operating point to a second treatment parameter operating point outside the first operating region and in a second operating region in a known safe operation zone, bounded by a known unsafe zone unavailable to the user. In the second operating region, some examples may restrict the step size of incremental adjustments requested by the user. Data may be collected for cloud-based analysis, for example, to facilitate discovery of more effective treatment protocols.

Abstract: A system and method provide dosage information from past trials of potential subjects to clinics performing drug research so the clinics can determine if the potential subjects qualify (i.e. have waited sufficient time) to qualify for second trial. The system provides a clearinghouse that does not divulge the prior trials proprietary information to the requestor. Likewise, the system does not divulge to prior trial holders who is requesting subject information for subsequent trials. Biographical information including biometric identification can be used to identify subjects in the database. A further method allows a subject to confirm the data in the database.

Abstract: Techniques for administering a care plan for a patient. A monitoring device is selected, at a care plan management system based on a care plan, to use in administering the care plan. The care plan specifies biometric data to monitor for a patient. The monitoring device is configured to collect the biometric data, based on the care plan. The biometric data collected using the monitoring device is received at the care plan management system. The biometric data includes a first event initially classified as a first type of event using the monitoring device. The first event is selected for reclassification, based on the initial classification, and in response the first event is reclassified as a second type of event using the care plan management system. The patient is treated based on the care plan and the reclassified first event.

Abstract: A method, assigning a medical device from a data network to a location, includes: receiving a group message, having a medical device data network address; providing a first data set, indicating network addresses of active network components; and sending request messages to active network components, indicating a data network address thereof and data network address of the medical device. An acknowledgment message from a defined active network component indicates the data network address and a port identity thereof and data network address of the medical device. A second data set is provided indicating an assignment of tuples of active component data network addresses and port identities to locations. The medical device is assigned a location based on the second data set, the data network address of the defined active component and the indicated port identity. An assignment data set is provided indicating an assignment of medical device to assigned location.

Abstract: The present disclosure relates to the field of diagnostics, specifically, to a method of identifying progressing multiple sclerosis (MS) in a subject. At least one performance parameter is determined from a dataset of activity measurements obtained from the subject using a mobile device, and the performance parameter is compared to a reference, whereby a subject with progressing MS will be identified. Also disclosed is a method of recommending an anti-CD20 antibody therapy against MS that includes the steps just mentioned and the further step of recommending the anti-CD20 antibody therapy if the subject suffers from progressing MS. Also disclosed is a mobile device having a processor, at least one sensor and a database as well as software which is tangibly embedded to the device and, when running on said device, carries out the method of this disclosure as well as the use of such a device for identifying a subject suffering from progressing MS.

Abstract: A method and system are a for gesture support system for controlling a cloud-based image processing application. In an embodiment, the system includes an extended touch screen device; a DICOM Appliance including a receiver and an uploader client, adapted for segregating PHI-data and non-confidential image data, and for encrypting PHI-data and sending a data package, including the encrypted PHI-data and non-confidential image data to a cloud server. The cloud server is adapted for processing the medical image data. It receives the data package form the uploader client and decrypts the received data package. A gesture reception unit receives user-specific gesture signals and a mapping unit maps the received user-specific gesture signals to standard gestures and provides the standard gestures to the cloud server for generating control instructions for the image processing.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium are provided, including a method for presenting information for treating patients. The method comprises presenting, in a user interface, a pathway for use in treating a patient with a disease and including a combination of therapeutic and diagnostic pathway elements including an integration of diagnostic, radiation, chemotherapy, surgical and other elements. The method further comprises augmenting the pathway including providing controls for accessing additional information associated with a given pathway element, augmenting pathway elements to include indicators for pricing, efficacy and/or toxicity of a treatment associated with a given treatment element, and augmenting the pathway with a connection to another pathway including providing a link to another pathway at a point in a given pathway that provides information for a related pathway.

Abstract: Described are data abstraction systems, methods, and media for aggregating and abstracting data records from data providers, which are not substantially interoperable with each other. Features include data provider connector modules dynamically loaded, based on definitions stored on disk, that facilitate data mapping and individual matching.

Abstract: Devices, systems, and methods are provided for adherence monitoring and patient interaction. In general, the devices, systems, and methods can facilitate a patient's adherence to a medication schedule and can facilitate monitoring and tracking of the patient's adherence to the medication schedule. In one embodiment, a medical accessory such as a cap is provided that can be configured to attach to existing medication dispensers, such as asthma inhalers, or to be integrated into a custom-made medication dispenser. The accessory can be configured to provide a notification to the patient when medication is due. The accessory can be configured to detect usage of the dispenser. The accessory can be configured to provide data regarding dispensing of the medication to an external device. The data can be analyzed and provided for visualization on a user interface.

Abstract: A system for selecting an intervention based on effective age includes configured determine a user endocrinal age factor using at least a measure of user endocrine function, to determine a user telomeric age factor using a user telomere length, determine a user negative habit factor, and to multiply each factor by a user chronological age to obtain a user effective age. The at least a server is configured to derive a user health quality vector listing user priorities including life-expectancy increase. The at least a server is configured to generate a plurality of interventions, each with a vector having similar entries to the health quality vector. The at least a server is configured to select an intervention from the plurality of interventions by generating a loss function of the plurality of interventions and the user health quality vector and minimizing the loss function.