A system and method for visualizing and annotating temporal trends of an abnormal condition in patient data. A classification and visualization module detects one or more conditions in one or more images, e.g. X-ray images, and visualizes the condition on the image. A temporal disease state extraction module analyzes text, e.g. radiology reports, for indications of a change in the condition. A multimodal disease state comparison module fuses the extracted data into a compact representation of the condition changes over time.

An apparatus for providing automated analysis and monitoring of an ABT session is presented herein. The apparatus may include a display configured to present material for the ABT session to a patient, at least one video capture device configured to capture video data for the ABT session related to at least one of first facial features of the patient, second facial features of a therapist, or a response to the material presented on the display, at least one audio capture device configured to capture audio data for the ABT session related to at least one of a first voice of the patient or a second voice of the therapist, and at least one processor configured to analyze, for the ABT session, data regarding the material presented on the display, the captured video data, and the captured audio data to produce an analysis of the ABT session.

An apparatus for providing automated analysis and monitoring of an ABT session is presented herein. The apparatus may include a display configured to present material for the ABT session to a patient, at least one video capture device configured to capture video data for the ABT session related to at least one of first facial features of the patient, second facial features of a therapist, or a response to the material presented on the display, at least one audio capture device configured to capture audio data for the ABT session related to at least one of a first voice of the patient or a second voice of the therapist, and at least one processor configured to analyze, for the ABT session, data regarding the material presented on the display, the captured video data, and the captured audio data to produce an analysis of the ABT session.

There are provided an information processing apparatus, an information processing system, an information processing method, and a program which can intuitively grasp a state of a region of interest.

An information processing apparatus includes at least one processor; and at least one memory that stores a command for the at least one processor to execute, in which the at least one processor acquires an analysis result relating to a characteristic of a region of interest of an image, and generates a diagram on the basis of the analysis result. The diagram expresses a state of the region of interest having an exclusive relationship by at least one of a spread direction or an area.

There are provided an information processing apparatus, an information processing system, an information processing method, and a program which can intuitively grasp a state of a region of interest.

An information processing apparatus includes at least one processor; and at least one memory that stores a command for the at least one processor to execute, in which the at least one processor acquires an analysis result relating to a characteristic of a region of interest of an image, and generates a diagram on the basis of the analysis result. The diagram expresses a state of the region of interest having an exclusive relationship by at least one of a spread direction or an area.

An apparatus, including a computer including a database which stores a first electronic record and information contained in a master records file, and a distributed ledger and Blockchain technology system. The apparatus facilitates a video call between a user device and a provider device. The computer, after processing information for updating the first electronic record, processes information for identifying a plurality of second electronic records for the individual and a healthcare provider associated with each second electronic record. The computer updates each of the plurality of second electronic records, and generates a record update message. The computer transmits the record update message to each of a plurality of second provider devices associated with each second healthcare provider. Information regarding the update to the first electronic record and the update to each of the second records is stored in the distributed ledger and Blockchain technology system.

An apparatus, including a computer including a database which stores a first electronic record and information contained in a master records file, and a distributed ledger and Blockchain technology system. The apparatus facilitates a video call between a user device and a provider device. The computer, after processing information for updating the first electronic record, processes information for identifying a plurality of second electronic records for the individual and a healthcare provider associated with each second electronic record. The computer updates each of the plurality of second electronic records, and generates a record update message. The computer transmits the record update message to each of a plurality of second provider devices associated with each second healthcare provider. Information regarding the update to the first electronic record and the update to each of the second records is stored in the distributed ledger and Blockchain technology system.

A method for developing codes and a cross functional set of rules that suggest to a physician, in real-time, potential diagnoses related to diagnostic results or other clinical data entered into the electronic Medical Record (EMR). The method generates a possible diagnosis for consideration and addition to the patient problem list. When the physician selects a suggested diagnosis, the problem list is automatically updated with the diagnosis. In view of the above, the physician has the needed information at the point of care so that the timeliness, safety and quality of care is improved. The generated documentation also assists other physicians throughout the continuum of care for the Patient. The method creates crosswalk from data element to diagnosis to enhance the completeness of documentation. As a result, the Diagnostic Related Group (DRG) is more accurately assigned by coders at discharge to drive more accurate and efficient billing for improved reimbursement and revenue.

A method for developing codes and a cross functional set of rules that suggest to a physician, in real-time, potential diagnoses related to diagnostic results or other clinical data entered into the electronic Medical Record (EMR). The method generates a possible diagnosis for consideration and addition to the patient problem list. When the physician selects a suggested diagnosis, the problem list is automatically updated with the diagnosis. In view of the above, the physician has the needed information at the point of care so that the timeliness, safety and quality of care is improved. The generated documentation also assists other physicians throughout the continuum of care for the Patient. The method creates crosswalk from data element to diagnosis to enhance the completeness of documentation. As a result, the Diagnostic Related Group (DRG) is more accurately assigned by coders at discharge to drive more accurate and efficient billing for improved reimbursement and revenue.

The present invention relates to a method and system for identifying treatable and remediable factors of Dementia and aging cognitive changes, to provide recommendations for aiding in the diagnosis of dementia or predementia symptoms in a subject. According to an embodiment of the invention, the method comprising: receiving data relative to medical history and examinations, processing said received data by applying an algorithm(s) relative to the Intensive Neuropsychogeriatric Evaluation, Treatment and Prevention (INETAP) method, and verifying whether said processed data is sufficient for indicating of advanced Dementia Potential Remediable Conditions (PRCs), and outputting data for aiding in the diagnosis of one of the following: dementia PRCs, pre-dementia PRCs, no dementia/pre-dementia, or Dementia without treatment horizon.