Abstract: Systems and methods for dynamic prediction related to a medical device. A system includes a predictor including computing hardware of at least one processor and memory for the at least one processor; and instructions that, when executed on the predictor, cause the predictor to implement: an input/output engine to receive data from a plurality of distributed data sources, an aggregation engine to assemble the data received by the input/output engine, a prediction engine to generate a prediction based on a benchmark assessment related to the medical device, and an alerting engine to communicate an alert based on the prediction.

Abstract: A system for insurance underwriting and post policy issuance action comprising obtaining personal, medical, and genetic information for an applicant and determining the applicant's eligibility for an insurance policy is provided. The applicant may additionally be provided with information regarding genetic testing for alpha-1 antitrypsin deficiency or with information regarding testing of circulating AAT levels. Furthermore, alpha-1 antitrypsin testing may be ordered for the applicant as part of the insurance underwriting process or for the insured following policy acceptance or issuance.

Abstract: A care system includes a mobile communication device, a remote server, and a patient support system that is in communication with either or both of the mobile communication device and the remote server. The mobile communication device may operate as a user interface for the patient support system. The remote server may provide computing power for the patient support system for resource intensive computing tasks.

Abstract: Systems and methods are disclosed for preserving patient privacy while allowing health data to be analyzed, managed, and stored in different geographical areas. One method for managing cross-border health data while preserving patient privacy includes: receiving a DICOM object from a hospital computing device for analysis; generating a unique case identifier for the DICOM object; validating the received DICOM object; if, based on the validation, the received DICOM object is valid, anonymizing the received DICOM object; updating the anonymous DICOM object to include the unique case identifier; compressing the updated DICOM object; and sending the compressed DICOM object to at least one data analysis web service(s).

Abstract: A method and system for drive through medicine comprises a building having a service area and one or more consult bays attached to the service area, which allow users to drive in and engage a healthcare professional and/or a technician in privacy. The user will visit or consult with a doctor or other medical professional, on site and/or remotely via telemedicine. In use, a patient checks in at a patient kiosk, the patient drives into the consult bay, the patient consults with a patient advisor, the patient pays the bill and receives treatment, and the patient drives out of consult bay.

Abstract: A computer network implemented system for improving the operation of one or more biofeedback computer systems is provided.

Abstract: A system for communicating health data in a healthcare environment (1) comprises a communication network (4) for communicating health data in the healthcare environment (1), a reporting device (2) for transferring health data via the communication network (4), and a consuming device (3) for receiving health data from the reporting device (2) via a communication channel (41) of the communication network (4). Herein, the consuming device (3), for receiving health data from the reporting device (2), is constituted to send a subscription request message (A1) containing a subscription request to the reporting device (2), and that the reporting device (2) is constituted, upon receiving the subscription request message (A1), to validate the subscription request and to establish the communication channel (41) to transfer health data to the consuming device (3).

Abstract: The present teaching relates to medical record completion. In one example, a medical record of a patient is received. The medical record is associated with a plurality of components comprising a first component with a populated value and a second component with an unpopulated value. The unpopulated value of the second component is estimated based on the populated value of the first component in accordance with a first model. Information associated with the medical record and/or the patient is obtained. The values of the first and second components are validated based on the obtained information in accordance with a second model. The first and second models are dynamically updated based on data related to medical transactions of a plurality of patients.

Abstract: Systems and methods for automatically updating patient insurance information in response to a rejection by an insurance provider are provided. An indication that a prescription submitted to an insurance provider associated with a patient for payment has been rejected by the insurance provider may be received. The indication may include a rejection message associated with the rejection of the prescription. Based on the rejection message, the systems and methods may determine whether the rejection is related to incorrect insurance information. A likelihood that the prescription will be paid for when the insurance information is corrected may be calculated. Based on the calculated likelihood, the systems and methods may determine whether to initiate a patient insurance lookup system search.

Abstract: Provided herein are methods and apparatuses for recommending tooth leveling (e.g., one or more of anterior leveling, posterior leveling, and arch-shape recommendations) for orthodontic devices and methods for patients. Factors involved in the leveling of teeth can include symmetry, doctor preferences, preferences regarding gender, the country in which the patient is being treated, and other issues related to the aesthetics of the mouth and arch shape. The device can comprise an aligner configured to fit over a patient's teeth. Methods of designing and manufacturing aligners based on leveling recommendations are also provided.

Abstract: Computer-implemented systems and methods are provided for generating automated and real-time graphical user interfaces.

Abstract: An embodiment provides a method, including: accepting, from a mobile device, clinician credentials; authenticating, using a processor, a clinician using the clinician credentials; displaying, at the mobile device, a clinician specific data within a mobile device application, wherein the clinician specific data includes a plurality of patients currently associated with the clinician credentials; displaying, at the mobile device, an admission request form for requesting that a patient of the plurality of patients be admitted to another healthcare facility; accepting, at the mobile device, user input that populates one or more data fields of the admission request form; communicating, over a network connection, to a remote device an admission request generated using the user input; receiving, at the mobile device, admission confirmation data; and updating, using a processor, an admission status for the patient. Other embodiments are described and claimed.

Abstract: Methods, systems, and devices for wireless patient monitoring and medical sensing are described. The methods, systems, and devices may include functionality for receiving a medical dataset associated with a patient, the medical dataset including a plurality of physiological measurements taken from the patient and a plurality of parameters associated with the plurality of physiological measurements. The methods, systems, and devices may also identify one or more groups of parameters from the plurality of parameters within the medical dataset, determine at least a medical device type from which at least a portion of the plurality of physiological measurements were measured, the determining based at least in part on the one or more identified groups of parameters; and display at least a subset of the plurality of physiological measurements from the medical dataset.

Abstract: A method and system for requesting and receiving prescription verification is described. A patient may establish a secure communication with a cloud-based server and receive a machine-readable code including the patient's encrypted information. The patient may present the code to a physician, whereupon the physician may communicate the coded patient information to the cloud-based server and the physician may communicate prescription information to an electronic clearinghouse. Upon patient's presentation of the code to a pharmacy, the pharmacist may verify the prescription with the clearinghouse; the clearinghouse validating the patient information with the cloud-based server. Upon verification, the pharmacist may fill the prescription.

Abstract: The inventive subject matter provides apparatus, systems, and methods that improve on the pace of discovering new practical information based on large amounts of datasets collected. In most cases, anomalies from the datasets are automatically identified, flagged, and validated by a cross-validation engine. Only validated anomalies are then associated with a subject matter expert who is qualified to take action on the anomaly. In other words, the inventive subject matter bridges the gap between the overwhelming amount of scientific data which can now be harvested and the comparatively limited amount analytical resources available to extract practical information from the data. Practical information can be in the form of trends, patterns, maps, hypotheses, or predictions, for example, and such practical information has implications in medicine, in environmental sciences, entertainment, travel, shopping, social interactions, or other areas.

Abstract: A computerized system and method for health care facilities to reduce manual handling of at least some open account issues. The system provides healthcare facilities with the ability to resolve current open patient account issues by utilizing the data patterns from a facility's historical patient account transaction activity, to create a machine learning model that can predict resolutions to the open accounts. These patterns are then applied to a facility's current transaction data providing next step resolution to each patient account.

Abstract: Techniques for real-time intradialytic hypotension (IDH) prediction are disclosed. A system obtains historical hemodialysis treatment data that is segmented into sets of machine learning training data based on temporal proximities to IDH events and trains a machine learning model to predict IDH events based on the sets of machine learning training data.

Abstract: A medical information processing apparatus according to an embodiment includes a processing circuitry. The processing circuitry sets, as a finding, an item related to diagnosis of a subject; disposes, in an identical screen in accordance with the finding, each display region for displaying a piece of medical data related to diagnosis of the subject; and displays the medical data extracted from a first facility in the display region for displaying the medical data and displays the lacked medical data extracted from a second facility, together with information that identifies the second facility from which the extraction is made, in the display region for displaying the lacked medical data.

Abstract: The disclosure pertains to a secure intelligent networked system for identifying and correcting a defect in a health care service and method for using the same. The system receives data regarding patient care, generally obtained from commercial insurance claims, customer claims or Medicare claims. The system operates on a plurality of nodes configured based on a set of metrics associated with the appropriateness of health care measures. The system may generate a determination regarding the appropriateness of the measure. The system may further produce a second determination denoting a physician's overall conformity with appropriate standards of practice. Finally, the system may generate a knowledge narrative indicating an appropriate action.

Abstract: Systems and methods for visually displaying instances of increased susceptibility for commission of medical errors are provided. Execution of programming instructions on a computer-readable medium causes a processor to retrieve historical workload data corresponding to environmental conditions experienced by and near misses associated with an individual or team of individuals during a first period of time from one or more data repositories. Retrieved workload data is processed to establish threshold limits for distinct working conditions represented within the workload data for the individual or team of individuals. Workload data corresponding to a second period of time is retrieved for the individual or team of individuals and compared to established threshold limits by the processor. Based on the comparison, the processor generates one or more displayable indicia indicative of the individual's or team of individuals' risk of committing a medical error due to an experienced workload.