An assistance apparatus for assisting creation of an interpretation report obtains a set of regions of interest, which are determined as regions that were observed, of medical image data of a subject that is displayed as an interpretation target, and a set of described regions, which are regions that correspond to description of an interpretation report about the medical image data of a subject. The assistance apparatus determines consistency between the set of regions of interest and the set of described regions, and lets a display unit display a result of the determination.

A computer-implemented method is disclosed. The method includes obtaining location-time data automatically generated by a mobile electronic device associated with a healthcare provider, correlating the location-time data with a location of a healthcare patient, and using the location-time data to bill for care of the healthcare patient by the healthcare provider.

A glucose measuring system includes a glucose meter that incorporates wireless communication capabilities. The meter can advantageously be a low cost meter by eliminating expensive components, such as the display. The user nevertheless is able to retrieve and view his or her glucose values by referring to displays within the glucose measuring local area network. Feedback via these displays can advantageously be used by the diabetic to create a higher level of confidence and safety.

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.

The present invention provides an automatic blood-sampling tube preparation system which can reduce the reading mistake of the information of the RFID tags by selectively taking out a blood-sampling tube required to an examination of a patient according to a doctor's instruction information from the blood-sampling tube containing section, writing the patient examination information on a RFID tag of the taken out tube on the basis of the instruction information, reading simultaneously all patient examination information from all RFID tags contained in the prepared container for every patient, and comparing the information read from the RFID tags with the instruction information to ensure accuracy.

A system for managing pharmacy kits comprises a reading station configured to read tag information from a plurality of radio frequency identification (RFID) tags associated with a pharmacy kit, and an information processing system operatively connected to the reading station and configured to receive the tag information from the reading station and determine a status of the pharmacy kit based on the tag information, a plurality of stored templates defining contents to be included in each of a plurality of pharmacy kits, and a plurality of kit records indicating the current contents of a plurality of pharmacy kits.

Systems, devices, and methods are described for tracking, registering, etc. of medical staff, patients, instrumentation, events, or the like according to a treatment staging plan. For example a medical apparatus includes a right-patient verification device having an interrogation interface device that elicits at least one of identification data, authorization data, or treatment plan data from a medical procedure authorization device associated with a patient; and a right-site verification device that generates patient-specific treatment staging data consistent with the at least one of the identification data, the authorization data, or the treatment plan data.

The disclosure generally describes computer-implemented methods, software, and systems for managing information exchange between medical care applications and an analytical infrastructure for medical care information. The disclosure also describes implementations that manage user access to medical care applications and communications between medical care applications.

The present subject matter relates to methods and systems utilizing wearable sensor technology to determine when a patient's health may be degrading to trigger progressively higher levels of care and involvement, from “free” hands and eyes to skilled clinicians, in order to keep patients in the lowest cost setting of care, the home, for as long as possible.

The described invention provides a system and method for clinical outcome tracking and analysis. The clinical outcome tracking and analysis comprises sorting, outcome tracking, quality of life metrics, toxicity to therapy and cost of care. The system and method includes receiving one or more parameters. Exemplary parameters for sorting include sex, age, ethnicity, comorbidities, tobacco use, source of insurance, medical record number, primary care physician, referring physician, hospital, approved service vendors, disease-specific clinical molecular phenotype, therapy intent, stage of therapy, biomarkers, and cost of care. A plurality of patient medical records are sorted, by a clinical outcome tracking and analysis module executed by a processor, to provide a set of patient medical records satisfying the one or more parameters. A nodal address, indicating one or more variables, is applied to the sorted set of patient medical records to determine a clinically relevant set of patient medical records as the sorted set of patient medical records satisfying the one or more variables. The clinically relevant set of patient medical records is analyzed. A communication is transmitted based on the analyzing to a user to effect treatment, to monitor performance, or to reduce at least one of treatment variability, waste or inefficiency while delivering on intended outcome.