Abstract: Systems and methods that provide for automation-assisted research into the workings of one or more studied systems include software modules that communicate with domain knowledge bases, research professionals, automated laboratories, research service objects, and data analysis processes. When implemented in conjunction with online business methods and systems, ordering processes can interface directly with research services, such as medical research services and biomedical research services. In some implementations, automatically selected research service objects can correspond to 3rd-party research services that can produce research results, and subsequent data-processing can update the knowledge bases and provide guidance to a next phase of research.

Abstract: A medical communication system including a first medical device with a memory storing first additional information to be added to first information related to a subject, a DICOM server, and a second medical device storing second additional information to be added to second information. The first medical device having a processor generating DICOM (Digital Imaging and Communication in Medicine)-format data of the first information, a first transmitter/receiver communicating the second information and at least a portion of the second additional information between the first medical device and the second medical device via a network defined by a prescribed protocol different from the DICOM protocol. The processor generates DICOM-format data of the second information based on at least the second additional information. The second transmitter/receiver communicates generated DICOM-format data of the first information and the second information with the DICOM server via the network defined by the DICOM protocol.

Abstract: A telemedicine device, communicated with a telemedicine information acquiring device, includes a communication unit and an operation unit. The communication unit is configured to communicate with the telemedicine information acquiring device, and receive physiological sign information of a patient from the telemedicine information acquiring device. The operation unit is configured to restore at least part of the physiological sign information according to the physiological sign information received by the communication unit. Also are provided a telemedicine information acquiring device and a telemedicine method.

Abstract: Methods for selecting treatment paths are disclosed generally comprising the steps of: (a) discovering a set of treatment path clusters based on latent patterns in historical patient trace data, (b) building a set of binary classifiers based on historical patient trace data, historical patient data and target outcomes, and (c) given the treatment path clusters, actual patient data, and a selected target outcome, applying the binary classifiers to predict a treatment path for a new patient that optimizing the selected target outcome. Processor based systems to implement the methods are also disclosed.

Abstract: A terminal device configured to be able to communicate with a measuring device for measuring biological information includes a first processing unit executing the processing of a first application and a second processing unit executing the processing of a second application. The first processing unit stores biological information acquired from the measuring device. The second processing unit determines whether the second application is able to use biological information, based on specifying information for specifying an application able to use biological information and the identification information of the second application. When the second application is able to use biological information, the second processing unit reads out biological information from the biological information storage unit and outputs the read biological information.

Abstract: A system for maintaining drug information and communicating with medication delivery devices includes software designed for use in a hospital, pharmacy or biomedical technical service environments. The software may be provided on a computer readable medium. The software allows a facility to customize a drug library with both hard and soft drug limits and other parameters for use with an infuser having a plug and play module removably inserted into a slot within a housing, or for use with an infuser having a connectivity engine enclosed within the housing. The system supports data transfer to one or more infusers connected to one or more computers. The connection between the computer and the pump can be hard wired or wireless.

Abstract: A medical scan labeling quality assurance system is operable to transmit a selected set of medical scans to a set of client devices associated with an expert user and a selected set of users. The client devices display medical scans are displayed to the expert user and the set of users, and a set of labeling data generated via user input to each client device is received from each client device. A set of performance score data is generated based on comparing each set of labeling data to a set of golden labeling data that was received from the client device of the expert user. The set of performance score data is used to update user profiles of the set of users, and is transmitted to the set of client devices for display to the set of users.

Abstract: Systems and methods are provided to facilitate consultations between a referral source (e.g., labs, pathologists and patients) and a consultant (e.g., pathologist, radiologist, or other digital image analyst). Links between the various referral sources and consultants are established through a scanning center via a data communication network such as the Internet. The referral source sends a slide to the scanning center where the corresponding digital slide is posted for review and analysis by the consultant. Upon completion of the analysis and report, a digital slide conference is conducted through the scanning center that provides a venue for direct communication regarding the consultation. The scanning center may also facilitate payment from the referral source to the consultant.

Abstract: Systems and methods for rapid importation of data including temporally tracked object recognition. One of the methods includes receiving a request to authorize a prescription for a patient, the request being from a medical professional and the request being received of a network. The request is determined to be approved based on information associated with the patient. Transaction information is generated that is associated with the prescription, the transaction information specifying that the patient is authorized to obtain an associated pharmaceutical, and the transaction information being included in a transaction record associated with the patient. Authorization information associated with the prescription is generated, the authorization information being provided to a user device of the patient, and the authorization information enabling confirmation by an outside system that the prescription is authorized.

Abstract: Embodiments for medical condition communication management by one or more processors. A maturity score and medical condition acceptance score relating to a medical condition of a user may be estimated according to data collected from one or more devices associated with the user. The maturity score may represent a measure of an emotional state, age, and cognitive reasoning ability. The medical condition acceptance score may represent a measure of understanding and acceptance capability of the medical condition. One or more search results responsive to a search query related to the medical condition submitted by the user may be adjusted according to the maturity score, the medical condition acceptance score, and an appropriateness of communications for the one or more search results based on a plurality of identified contextual factors.

Abstract: There is provided a method for generating instructions for adjusting a medical treatment of a patient, comprising: detecting an indication of a new symptom appearing in a patient being treated with medications for medical condition(s), computing a value indicative of risk of the new symptom being an adverse drug reaction (ADR) of one or a combination of the medications, detecting an indication of another new medication for treating the patient, computing likelihood of PC when the new medication is for treating the new symptom and the value is according to a requirement, generating a request for substitute medication(s) for the one or combination of medications when likelihood of PC is detected, and generating instructions for adjusting treatment of the patient by substituting the one or combination of medications with the substitute medication(s), and for terminating administration of the new medication or avoiding administration of the new medication.

Abstract: A method and system for assessing the risk of a cardiac event in a patient which utilizes real-time and historical data from Electronic Medical Record (EMR) systems is described. A risk of a cardiac event is estimated, in real-time or near-real-time, for a patient who is currently in a hospital emergency department. Batch data for one or more past patients is extracted from EMRs into a machine learning model. Using the machine learning model, a risk level for one or more past patients is calculated. A real-time database is constructed from streams of real-time Health Level 7 (HL7) clinical data, wherein at least one stream of real-time HL7 clinical data is associated with the current patient, and a risk prediction is estimated by joining the calculated risk level for the patient in the machine learning model with the real-time HL7 clinical data from the patient.

Abstract: An automatic patient recruitment system is operable to determine a set of eligibility criteria, which includes abnormality criteria and other patient criteria, for each of a plurality of pharmaceutical studies. Abnormality data is generated for received medical scans by performing at least one inference function on image data of each medical scans by utilizing a computer vision model trained on a training set of medical scans. One of a plurality of patients is identified to be eligible for a pharmaceutical study by determining a medical scan of the patient has abnormality data that compares favorably to the abnormality criteria of the pharmaceutical study and by determining that the patient has patient data that compares favorably to the other patient criteria of the pharmaceutical study. A notification indicating the identified patient is eligible for the pharmaceutical study is generated for transmission to a client device.

Abstract: Apparatus and associated methods relate to receiving a patient health record, determining a relationship between the health record and the patient health history, determining a condition associated with the health record and the location on the patient's body affected by the condition, and automatically presenting the relationship between the health record and health history based on the condition. In an illustrative example, the patient health record may be a doctor's diagnosis. The relationship between the health record and the patient health history may link multiple health records medically related to the received health record. In some examples, the relationship between the health record and health history may be comorbidity. The health history may include conditions complicating the condition associated with the health record.

Abstract: A facility for predicting patient outcomes on the basis of clinical trials is described. The facility obtains information describing one or more completed clinical trials, and extracts features from the obtained clinical trial information. The facility uses the extracted features to train both a time-series data model for predicting clinical outcomes and a non-time-series data model for predicting clinical outcomes. The facility applies these trained models to information describing a subject patient to predict a clinical outcome for the subject patient.

Abstract: An apparatus, method, and computer readable medium for determination of a drug for manufacture. The apparatus includes processing circuitry configured to receive input data related to one or more drug programs, acquire data from a database, generate one or more models based upon the acquired data from the database, determine, from the one or more models, one or more outputs related to the chronological event, select, based upon the determined one or more outputs, one of the one or more drug programs for manufacture, and transmit, to the manufacturing device via the network, manufacturing information related to the manufacture of the selected one of the one or more drug programs.

Abstract: In accordance with one embodiment, a system and method is used for collecting, measuring, and reporting on data associated with healthcare treatment. A healthcare data system collects data from a patient using an interactive voice response system (IVR). The IVR periodically contacts the patient with questions as to severity of symptoms. The severity data is processed along with prior collected data to report treatment progress to the patient, to a provider, to a provider organization and to a payer. Symptom weights are entered by a provider and used in measuring progress. Other methods to collecting severity data may be used, such as email and text messaging.

Abstract: A solution is provided to monitor and to analyze a user's medicine consumption related to a prescribed therapeutic regimen or a prescribed medication anywhere and anytime through a variety of sensors attached to a health tracking device, e.g., a pillbox. A health tracking service analyzes the sensor data collected by the sensors of the pillbox, e.g., by correlating the sensor data with selected historical health data of the user, and generating health related suggestions for the user based on the correlation. The analysis, recommendations and instructions are presented in a user friendly way to users on users' various consumer electronic devices, such as computers, mobile devices, television sets, and any other suitable electronic devices.

Abstract: A system and method for collecting, communicating, displaying, and/or analyzing data from multiple medical devices is disclosed. The system includes a local data collection module and a number of medical device adapters. The medical device adapters are coupled to respective medical devices via hardwired connections to receive data from the respective medical devices. The medical device adapters wirelessly transmit the data to the local data collection module. The local data collection module communicates the data received from the medical device adapters to an Electronic Medical Records (EMR) system for automatic entry of at least some of the data in the electronic medical record of a patient associated with the medical devices.

Abstract: Systems and methods are provided for generating dynamic representations of symptoms and symptom alleviation.