Abstract: Systems and methods for multi-modality data processing are provided. Some embodiments are particularly directed to navigating sets of multi-modality medical data in a multi-modality processing system. In one embodiment, a method for navigating medical data in a medical processing system includes receiving a reference set of medical data by the medical processing system, where the medical data corresponds to a modality selected from the group consisting of: FFR, iFR, pressure, flow, IVUS, and OCT. The medical processing system also receives a navigation command. An enhancement and a subset of the reference set of medical data to enhance are identified based on the navigation command. The medical processing system performs the selected enhancement on the subset of data and the enhanced subset is displayed. The enhancement may include performing a single-axis zoom on the subset.

Abstract: A computer system selects features of a dataset for predictive modeling. A first set of features that are relevant to outcome are selected from a dataset comprising a plurality of cases and controls. A subset of cases and controls having similar values for the first set of features is identified. The subset is analyzed to select a set of additional features relevant to outcome. A first and second predictive model are evaluated to determine that the second predictive model more accurately predicts outcome, wherein the first predictive model is based on the first set of features and the second predictive model is based on the first set of features and the additional features. The second predictive model is utilized to predict outcomes. Embodiments of the present invention further include a method and program product for selecting features of a dataset for predictive modeling in substantially the same manner described above.

Abstract: Methods and systems for medicine disposition in hospitals are disclosed. A method includes: receiving, by a computing device, an electronic health record (EHR) of a patient; receiving, by the computing device, an order to dispense a medicine to the patient; receiving, by the computing device, information from a wearable device of the patient and updating the EHR of the patient based on the information from the wearable device of the patient; determining, by the computing device, that a health concern is not identified based on the information from the wearable device of the patient; and dispensing, by the computing device, the medicine to the patient in accordance with the order.

Abstract: An apparatus and method is disclosed for generating health indicator data such as behavioral health indicators, de facto health indicators, and composite health indicators. Behavioral health indicators represent a degree to which the one or more persons associated with the payment transaction data make health-conscious decisions and are generated based on payment transaction data. Behavioral health indicators may also be generated using a food behavior health indicator, a lifestyle health indicator, an activity health indicator, and a body metric health indicator. De facto health indicators represent a degree to which the one or more persons are observably healthy and are generated based on health sector data. Composite health indicators represent a holistic and complete picture of current and future health and are generated based on behavioral health indicator and de facto health indicator.

Abstract: The present invention provides an interactive, electronic, knowledge-based ordering process for specialty/biotech pharmaceuticals (medically coded drugs) which results in less waste, improved procedural efficiencies, and greater cost savings than the current ordering systems. The knowledge-base of the system is based on the health plan's clinical policies as well as the status of the patient and their entitled benefits with the health plan, and it is applied in an interactive manner through a web-enabled system which provides a real-time, prospective examination and control over requests for authorization to dispense the medically coded drugs. The system also includes a feedback loop from the specialty pharmacies to provide information on the medicines that have actually been dispensed. The system also provides to the patient, educational material and adherence reminders to affect therapeutic outcomes.

Abstract: Predicting infection risk by generating a first temporal graph of a first set of disease progression data, generating a second temporal graph of a second set of disease progression data, combining a first temporal graph node embedding and a second temporal graph node embedding, and generating a predicted infection risk according to the first temporal graph node embedding and the second temporal graph node embedding.

Abstract: The disclosed system identifies a preparation status of a first and second medication. Based on the delivery time and the completion time for the second medication, the system determines whether the first medication should be delivered prior to delivering the second medication and, when determining that the second medication should delivered prior to delivering the first medication, a notification to deliver the second medication before delivering the first medication is sent to a display device.

Abstract: A method of measuring body fluid content, the method comprising computer executed steps, the steps comprising: receiving a value of a temperature of a body part of a subject, and generating corrective data based on the received measured temperature value and on previously gathered data, the corrective data being usable for correcting a measurement of content of a fluid sample taken from the body part.

Abstract: A system and a computer-implemented method of managing building wellness. The method may include the steps of: obtaining wellness parameters for a building (e.g., an office building) having an occupant(s); processing the wellness parameters to determine a current wellness index for the building; and, based on the current wellness index, sending a message regarding the current wellness index to a recipient(s) (e.g., a building occupant), displaying the current wellness index for a user(s), and/or identifying a remediation action(s) to improve the current wellness index.

Abstract: A note automation server automatically generates medical notes for appointments between patients and physicians. The note automation server generates a fingerprint for each upcoming appointment between a patient and physician using information from an EHR system and information stored on the note automation server. The fingerprint includes information about the patient, including demographic information and medical history. The note automation server identifies an appropriate note template and billing codes for the appointment using the fingerprint and an audio file recorded by a physician during and/or after an appointment. The fingerprint, audio file, and note template are used complete of the medical note. The completed medical note and billing codes are exported to the EHR system, where it is accessed by the physician. The note automation server monitors the EHR system to see if the physician modified the medical note or a billing code.

Abstract: In an aspect, a system for generating a cardiovascular disease nourishment program includes a computing device configured to receive a cardiovascular sample relating to a user, generate a cardiovascular parameter as a function of the cardiovascular disease sample, determine a cardiovascular profile as a function of the a cardiovascular parameter wherein the cardiovascular profile includes a numerical cardiovascular health score correlated to the cardiovascular parameter and an atherosclerosis indicator correlated to the cardiovascular parameter, identify a nutrition element as a function of the cardiovascular profile, wherein identifying comprises obtaining a nutrient composition correlated to a nutrition element, determining a nourishment score as a function of the effect of the nutrition element on the cardiovascular profile, and identifying a nutrition element as a function of the nourishment score and nutrition element machine-learning model, and generate a cardiovascular disease nourishment program as a

Abstract: A method and system may provide a new prescription order interface which allows a customer to order one or more new prescription medications in a quick and easy manner from a remote location using a computer or mobile device. The customer provides a new paper prescription image that includes the prescription data for a pharmacy to fill the new prescription order. The new paper prescription image is received by a server and a default pickup store and a default pickup time are determined. The server also determines whether there is a high risk that the new prescription order is fraudulent by comparing a signature in the new paper prescription image to stored signatures associated with the prescriber, and comparing distances between the locations of the customer's web-enabled device, the pharmacy, and the prescriber. The system may be accessed through a series of web pages and/or via an application.

Abstract: A mechanism is provided for implement a discrepancy detection mechanism for detecting discrepancies between clinical notes and administrative records. Clinical concepts are extracted from the clinical notes and the administrative records in a patient's electronic medical records (EMRs). The extracted clinical concepts are filtered based on semantic type information to identify concepts that reference diseases or syndromes while also removing negated instances. Utilizing the positive mentions of diseases in clinical notes, the positive mentions of diseases or syndromes in the clinical notes are compared against each positive entry in the administrative records. A discrepancy summary is then generated for diseases or syndromes that failed to translate correctly from clinical notes to the administrative records in the patient's EMRs.

Abstract: A system may include a storage device that stores executable instructions, and at least one processor in communication with the storage device. When executing the executable instructions, the at least one processor may be configured to cause the system to obtain information relating to an object; determine a target operation mode for the object according to the information relating to the object; obtain information relating to previous operations of a plurality of candidate scanning devices from a database; select a target scanning device for the object according to the target operation mode and the information relating to the previous operations of the plurality of candidate scanning devices; and generate a schedule for operating the target scanning device to scan the object.

Abstract: Systems and methods providing compatibility between legacy electronic medical record (EMR) systems are disclosed. A first appliance is in two-way electronic communication with a first legacy EMR system and is configured to covert medical records data between a first format utilized by the first legacy EMR system and a common format. A second appliance is in two-way electronic communication with a second legacy EMR system and is configured to convert medical records data between a second format utilized by the second legacy EMR system and the common format. A common appliance is in two-way electronic communication with the first appliance, the second appliance and a third legacy EMR system. The common appliance is configured to convert medical records data between a third format utilized by the third legacy EMR system and the common format.

Abstract: A method of managing medical data, the method including defining at least one participating object and defining an operational relationship between the at least one participating object and a second participating object. The method also includes defining an event capability for the participating object, defining an event role for the at least one participating object, and defining a financial profile for the at least one participating object. The method may further include selecting at least one participating object, generating an event for the at least one selected participating object, and delivering data representative of the generated event to a user.

Abstract: There is provided a research framework system. For example, in some implementations there is provided a sleep prediction system for pilots including a first data structure storing collected research data related to pilot sleep patterns, a second data structure storing data related to a flight schedule associated with a pilot, and a sleep prediction module configured to access the data stored in the first and second data structures and calculate, by one or more processors using the data stored in the first data structure, a likelihood that the pilot associated with the flight schedule stored in the second data structure is sleeping at a given time.

Abstract: Systems, methods, and media for laboratory testing services are disclosed. A request for an electronic form can be received from an electronic device. A customized electronic form can be sent to the electronic device. The electronic form may be customized based at least in part on a healthcare provider associated with the request. At least one laboratory test may be requested to be ordered for at least one patient associated with the healthcare provider. At least one predefined rule may be applied to the requested order to verify that the order is valid. At least one laboratory can be selected to perform the ordered laboratory tests. Specimen collection information may be sent to a collection facility and can be based at least in part on rules or preferences of a lab selected to perform a laboratory test. Customized test reports can be provided to a healthcare provider.

Abstract: A system for electronic patient care includes a hub. The hub is configured to monitor a patient-care device. The sandbox may be configured to control access to at least one of a hardware resource and a software resource. The hub is further configured to identify the patient-care device and execute an application to monitor the patient-care device. The hub executes the application within the sandbox component such that the application accesses the at least one of the hardware resource and the software resource through the sandbox component. The hub may be further configured to control the patient-care device. The hub may be further configured to receive an identification from the patient-care device and download the application from a server associated with the identification. The hub may be further configured to receive an identification from the patient-care device and update the application from a server associated with the identification.

Abstract: Methods for dispensing eyeglasses are disclosed. The methods involve making a subjective refraction and an objective refraction and Sending the information to a calculation computer to combine both retractions to calculate the person's prescription. The person's prescription is subsequently sent to a manufacturing location separate from the calculation computer for manufacture of the lenses.