Abstract: In one example, a method to aggregate information from one or more medical devices comprises collecting information from one or more medical devices used by a patient, aggregating the information from the one or more medical devices into a patient record, storing the patient record to be accessible by a care station server, and providing access to the patient record to via the care station server. Other examples and related methods and apparatuses are also disclosed herein.

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 are provided for integrated healthcare management. The systems and methods include establishing a medical record data, accessing information about a treatment related to the medical record data, obtaining biometric data related to the treatment, processing the biometric data, determining whether the treatment is appropriate with respect to the biometric data, in response to the treatment being appropriate with respect to the biometric data, administering medication, and in response the treatment not being appropriate with respect to the biometric data, determining a new treatment, and administering new medication based on the new treatment.

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: Disclosed is a method for assessing a cognition and movement disease or disorder in a subject. In the method, a qualimetric activity parameter for cognition and/or fine motoric activity measurements is determined from a dataset of measurements obtained from the subject using a mobile device. The qualimetric activity parameter is compared to a reference and the disease or disorder is thereby assessed. A method identifying whether a subject will benefit from a therapy for a cognition and movement disease or disorder is also disclosed. The method can be carried out with a mobile device having a processor, a sensor and a database as well as software that carries out the method. Also disclosed is a system having a mobile device with a sensor and a remote device having a processor and a database and software that carries out the method for assessing a cognition and movement disease or disorder.

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: A method for prioritized updating of a node graph data structure includes storing a node graph comprising a plurality of patient nodes and a plurality of attribute nodes; receiving, by the one or more processors, a set of data from one or more data sources, each of the one or more data sources corresponding to a different clinic visited by one or more patients represented in the node graph; inserting a first piece of data regarding a first patient having a first patient node in the node graph into a first queue and a second piece of data regarding a second patient having a second patient node in the node graph into a second queue; and updating the node graph with the first piece of data prior to updating the node graph with the second piece of data.

Abstract: A system for healthcare resource scheduling is configured to calculate differential demand for a type of healthcare resource; based on the differential demand for the type of healthcare resource, determine, via an optimization engine, a suggested resource assignment; cause an operator device to display a user interface that displays a visual representation of the differential demand for the type of healthcare resource and a visual representation of the suggested resource assignment, wherein the visual representation of the suggested resource assignment is selectable by an operator of the operator device; receive, from the operator device, an operator selection comprising a selection of the suggested resource assignment in the user interface; and transmit an assignment notification to a computing device associated with a particular available resource of the type of healthcare resource.

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 distributed computing system for managing blood collection procedures in a blood collection facility includes a system server including a memory and a communication interface, the system server configured to store data identifiers for a plurality of different human operators. A plurality of computerized blood collection instruments are configured to collect blood from donors to generate collected products, each blood collection instrument comprising a communication interface configured to transmit data regarding the blood collection instrument to the system server. The system server stores data identifiers for each blood collection instrument. A computer is coupled to the system server and configured to present a dashboard for improving operational performance at and/or across blood collection facilities. The dashboard displays procedure data, data regarding the plurality of different human operators and data tracking each operator's activities or performance on a display.

Abstract: A method includes receiving, by a first computing system, a first package of electrocardiogram (ECG) data and metadata associated with the ECG data. The method further includes generating, by the first computing system, a report simulation page including strips of the ECG data and a summary of patient data based on the ECG data and the metadata. The method further includes displaying the report simulation page in a user interface (UI) and displaying a report build page in the UI. The report build page includes the ECG data and the metadata. The method further includes modifying the metadata in the report build page and automatically updating the report simulation page in response to the modifying the metadata.

Abstract: A method is disclosed for providing, by an artificial intelligence engine, an optimal treatment plan to use with a treatment apparatus. The method includes receiving, from a data source, clinical information pertaining to results of using the treatment apparatus to perform particular treatment plans for people having certain characteristics. The clinical information has a first data format. The method also includes translating a portion of the clinical information from the first data format to a medical description language used by the artificial intelligence engine, determining, based on the portion of the clinical information described by the medical description language and a plurality of characteristics pertaining to a patient, the optimal treatment plan for the patient to follow using the treatment apparatus to achieve a desired result, and providing the optimal treatment plan to be presented on a computing device of a medical professional.

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: Computerized methods for modifying at least one component of a clinical order are provided. The methods may include receiving a clinical order, the clinical order having a first component associated with a first phase and a second component associated with a second phase, wherein the first and second components have a first attribute in common, receiving an indication to modify the first attribute of the first component, and modifying the first attribute of the first component and the second component based on the indication received. The methods may further include associating the first and second components of the clinical order to form a cross-phase group and displaying the first and second components in association with an electronic record, e.g., an electronic medical record, in conjunction with a cross-phase group identifier to identify the components as members of the cross-phase group. Computerized systems for performing the disclosed methods are also provided.

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: A cap for a medicine container includes a base portion having a curved outer surface and being connectable to a medicine container, the base having an indented portion on at least a part of said curved outer surface. An electronic display fits in the indented portion of the base portion and electronically connected to circuitry within the cap. A clear portion covers the electronic display. A multi-color light-emitting diode (LED) electronically connected to the circuitry within the cap.

Abstract: A distributed computing system for managing blood processing procedures in a blood processing facility has a system server, a plurality of computerized blood collection instruments and a computer. The system server stores data identifiers for different human operators. The blood collection instruments collect blood components from donors to generate collected products. Each instrument transmits data regarding the instrument to the system server, the system server storing data identifiers for each instrument. The computer presents the data regarding the blood collection instruments on a display and receives assignments of different donors to different blood collection instruments from a human administrator.

Abstract: A system for informing product decisions, the system including a computing device configured to receive a conditional complaint relating to a user; select an article of interest intended to correct the conditional complaint; retrieve a biological extraction relating to the user; generate, a classifier, wherein the classifier comprises a machine-learning model trained by training data including a plurality of biological extractions and a plurality of correlated articles of interest, and wherein the classifier is configured to receive the user biological extraction as an input and output a tolerability score as a function of the training data; and display the tolerability score.

Abstract: System for selecting an intervention based on effective age, system including at least a server designed and configured to obtain user data from a user database. The server further configured to project an actuarial life expectancy using a user chronological age. The server further configured to calculate a variance between the actuarial life expectancy and a projected actual mortality date, including receiving training data correlating an aspect of the user data to the variance, generating a machine learning model that receives one or more aspects of the user data as inputs and produces an output of the variance, and determining the variance using the machine learning model. The server further configured to generate a plurality of interventions including an intervention vector, wherein each intervention vector entry indicates a degree of impact. The server further configured to select an intervention as a function of the degrees of impact and the variance.