Abstract: A system for predicting medications to prescribe to a patient includes a text encoding module and a medication prediction module. The text encoding module is configured to obtain a clinical-information vector from clinical information of the patient. The medication prediction module configured to apply a machine-learned medication-prediction algorithm to the clinical-information vector to select a subset of medications to prescribe to the patient. The machine-learned medication-prediction algorithm is designed with a diversity-promoting regularization model, and is configured to simultaneously consider correlations among different medications and dependencies between patient information and medications when selecting a subset of medications to prescribe to the patient.

Abstract: Finding care plan(s) matching desired aspects includes receiving a selection of a model care plan from a user; generating a feature hash vector representing the model care plan, resulting in a model feature hash vector; comparing feature hash vectors of existing care plans to the model feature hash vector to find care plan(s) best matching the desired aspect(s) of a user, resulting in best match(es); and providing one or more care plan recommendation(s) to the user based on the best match(es).

Abstract: A systems, method, and apparatus to improve connections within a healthcare ecosystem are provided. Example systems, methods, and apparatus can facilitate dynamic interface definition and configuration.

Abstract: A computing system is configured to process at least one voice input of a user and output an audio result. The computing system comprises at least one microphone configured to receive the voice input from the user. The computing system further comprises at least one processor configured to at least interpret the voice input and generate the audio result. The computing system also comprises an output speaker device configured to output the audio result. The audio result includes a description of whether one or more behavioral health states associated with the user have been detected.

Abstract: A computer-implemented trading platform, system, and method are provided for facilitating the trading and accounting for health quality offsets. So-called “health quality credits” related to emissions of ‘potentially avoidable complications’ (PACs) or ‘potentially avoidable mortality’ (PAMs). Emissions trading or “cap-and-trade” is an administrative approach used to control emissions that degrade public-goods assets by providing economic incentives for achieving and sustaining economically significant reductions in the emissions of pollutants that impair public goods such as clean air or health.

Abstract: A blood glucose measurement device comprises a sensor connector, a blood glucose value calculator, a barcode reader, a liquid crystal display, a data storage component, a report storage area, a central controller, and a touch sensor. The central controller causes the liquid crystal display to activate an input screen for inputting a comment for each measurement by the blood glucose value calculator. When a comment is inputted to the touch sensor, the central controller associates the comment with identification information in correspondence with each measurement by the blood glucose value calculator and stores the result in the report storage area. When a patient ID is read by the barcode reader, the central controller checks whether there is a comment on the basis of the information stored in the report storage area, and if there is a comment, the comment is displayed on the liquid crystal display.

Abstract: A computer assisted surgery system includes a controller configured to display images of the surgical procedure according to a workflow plan. The controller is configured to retrieve data and determine the workflow plan based on the data. The controller may also be configured to record and store data related to the surgical procedure on, for example, a hospital network.

Abstract: A computer-implemented dental charting system includes a computer storing tooth data for at least one patient and a display operable to display the tooth data. The computer is responsive to voice commands, and the display has a periodontal mode and a restorative mode. The display includes an exam overview window illustrating a plurality of tooth images, each tooth image corresponding to a patient tooth location, and an exam focus window. The exam focus window illustrates a magnified view of at least one of the plurality of tooth images, and illustrates data corresponding to the selected tooth location. The exam focus window may be displayed beside the exam overview window, as a floating window on top of the exam overview window, or on a physically separate display from the exam overview window.

Abstract: A novel system and method for processing location data are disclosed. An exemplary method includes receiving location data from a remote device, associating the location data with a particular subscriber, augmenting the location data in one of a plurality of predetermined ways based on information associated with the particular subscriber to produce augmented location data, and providing the augmented location data to the subscriber. In a more particular embodiment, the step of augmenting the location data includes retrieving a subscriber file associated with the subscriber and performing one or more augmentation processes on the location data based at least in part on the subscriber file. An example system includes both a remote device operative to transmit location data and a central station for performing the methods of the present invention.

Abstract: A system for indicating the quality of a medical report including a medical report system which generates a medical score based on a clinician's interpretation of medical data, a portion of the medical report including text in a natural language; and a medical report grading device which processes the portion of text in natural language and generates one or more scores of one or more categories relating to the quality of the medical report.

Abstract: A pharmacy care manager (PCM) uses a reference price for a given drug that reflects the actual cost and availability of the drug in the market. The PCM determines a reference price index (RPI) using drug pricing and availability data from drug manufacturers, wholesalers, pharmacies, and the like, updated on a daily basis. Drug identification data obtained from industry publishers allow pharmaceutical products from different sources to be cross referenced. The PCM then uses the RPI as the basis for the reference price, thereby removing any arbitrariness or inconsistency in the reference price. The reference price may then be applied to pay pharmacy claims and request reimbursements from plan clients. Such an arrangement reduces or eliminates any differences between payment of claims and reimbursement.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing implants for surgical procedures. In some implementations, a model that has been trained using data indicating characteristics of other patients and items used in surgeries for the other patients is obtained. Using the model and patient characteristics for a patient, such as the height and weight of the patient, the items needed for a surgery for a particular patient can be identified. For example, the likelihoods that different sizes of an implant component will be needed can be identified and used to determine which sizes of components should be provided at a medical facility and in the operating room for the patient's surgery.

Abstract: An analyte measurement system includes one or more handheld analyte meters and/or measurement devices and a means for collecting data, preserving data integrity, and uniquely identifying patient data received from multiple sources. For example, provided herein is a means to uniquely identify patients and their data when the data is collected from one or more measurement devices. By providing a way to allow the patients to use multiple sources to collect data, the system described herein provides patients with more flexibility, which should encourage better compliance to protocols. Further, by having a way to uniquely identify patients' data without requiring a patient to only use one analyte meter, for example, data can be centralized and analysis can be done with more assurance that all of the patient's data is being considered in the analyses.

Abstract: A method for filtering ECG data includes receiving ECG data of a patient, generating an ECG report comprising a plurality of pages, and presenting priority information on a first page of the plurality of pages. The priority information includes information identifying the patient, monitoring summary information including an indication of a total duration of a monitoring period, heart rate summary information including an average heart rate, a fastest heart rate, and a slowest heart rate, representative arrhythmia summary information including a count of ECG strips containing each of a plurality of types of cardiac arrhythmia, and atrial fibrillation summary information including an indication of atrial fibrillation burden during the monitoring period. The first page of the report does not include an ECG strip.

Abstract: A computing device retrieves patient data for a plurality of patients assigned to healthcare unit of a medical facility, and scores a mortality risk of the patients from the patient data. The computing device then generates a map of the medical facility comprising an illustration of a layout of the medical facility, and a visual representation of an area within the illustration of the layout that indicates where the healthcare unit is located within the medical facility. The map further comprises a labeling of the healthcare unit with a visual indication of the mortality risk of the patients in the healthcare unit. The computing device then sends the map to a display device.

Abstract: For quicker estimation of physiological parameters than using a numerical solution, a machine-learned network is applied. The PV loop may be estimated for a specific patient in real-time without invasive pressure measurements. Synthetic data instead of or in addition to actual patient examples may be used to machine train the network, providing a broader and/or controlled range of examples for more accurate estimation even in rarely occurring pathologies. The synthetic data may be generated by a generative adversarial network.

Abstract: A cloud based analytics medical system comprises a processor, a memory, an input/output interface to access data from medical hub communication devices, each coupled to a surgical instrument, and a database. The processor generates medical usage patterns of medical devices based on aggregation usage data of medical devices from medical hubs and aggregates patient outcome data from medical hubs. Patient outcome data comprises data pertaining to steps performed and corresponding timings for each step in patient procedures and allocation of resources used in procedures.

Abstract: A computer system may iteratively modify a local medical rule that is based on an initial sub-population. In particular, after information specifying the local medical rule and sharing instructions are received from a user of the computer system, the computer system may iteratively apply the local medical rule to one or more additional sub-populations that are associated with other users of the computer system based on the sharing instructions without sharing PHI associated with the initial sub-population. Then, the computer system may aggregate results for the one or more additional sub-populations, and may generate the population-based medical rule by modifying the local medical rule based on the aggregated results and one or more quality metrics. Moreover, the computer system may selectively provide the population-based medical rule to the user without sharing PHI associated with the one or more additional sub-populations.

Abstract: A cloud-based analytics medical system comprises a processor, a memory, an input/output interface to access data from medical hub communication devices, each coupled to a surgical instrument, and a database to store the data. The processor aggregates patient outcome data from the medical hubs. Patient outcome data comprises data pertaining to steps performed and corresponding timings for each step in patient procedures, to an outcome of each patient procedure performed, and to medical resources used in the patient procedures. Patient outcome data comprises location data describing which medical facility the medical resource was allocated to and data indicating whether the outcome was a success or failure.

Abstract: Systems and methods for implementing a healthcare command center in a healthcare venue such as a hospital are disclosed. A healthcare command center may provide a number of services to the healthcare venue or to a healthcare system, such as a system including multiple healthcare venues. Services may be selected according to the needs and capacity of a healthcare venue or system. A healthcare command center may provide all available services and tools to a healthcare venue or system. Services and tools may span a continuum of care from community health to preventative health to acute care to post-acute care to reintegration of patients back into the community.