Abstract: A system and method processes blood donation data for presentation on an operator interface. A handheld computing device has a touch screen display and a processing circuit to provide an icon associated with an executable application on a first display screen, the icon configured to be positioned along with icons for other executable applications on the first display screen. The processing circuit is to retrieve an indication of a need for a particular blood component, wherein the particular blood component is selected from the group comprising whole blood, double red cells and plasma. The processing circuit is to provide the indication of the need for a particular blood component to the display. The processing circuit is to provide to the touch screen display a remaining time or a date the blood donor is next eligible to donate a blood component based on a donation eligibility guideline.

Abstract: A computer-implemented bone-implant system evaluation method for application of mesh-free analysis of a bone-implant system for evaluation of performance of a bone-implant system for an implant implanted within the bone structure at an anatomical site, said method comprising (i) receiving a set of bone structure data set, wherein set of bone structure data includes data indicative of the bone structure at an anatomical site; (ii) inputting an implant data set and inputting the position of the implant data set, wherein the implant is selected based upon the biomechanical requirements for the anatomical site and the position and of the implant data set is indicative of the position of the implant with respect to the anatomical site, wherein implant data set includes data representative of the geometry and materials properties of the implant; (iii) creating a bone-implant model, wherein said bone implant-model includes a mesh-free model of trabecular bone at the anatomical site wherein the bone-implant model is

Abstract: Described is a mood aggregation system. The system includes a server having a memory storing user information and a user computing device coupled to the server. The server may be programmed to automatically generate a mood request with response capabilities and send the request to the user computing device for display in response to the user computing device accessing the system. The server may also be programmed to receive and store mood data sent from the user computing device, wherein the mood data comprises a mood selection, a time the mood data was sent and a location of the user computing device when sending the mood data. The user may send a request for a report that is received and stored in the server for a user associated with the user computing device and automatically access the stored mood data and generate a report responsive to the report request.

Abstract: A system and method for collecting whole blood from blood donors includes first and second whole blood collection devices disposed at different blood donation centers. A remote server computer is in communication with the blood collection devices. The whole blood collection devices transfer donation procedure information to the remote server. The remote server computer facilitates retrieval of the donation procedure information at a handheld computing device. The donation procedure information includes data based on product volume collected and data indicating performance of operators of the whole blood collection devices. The handheld computing device displays a number of whole blood units collected. Blood collection can be improved using the donation procedure information.

Abstract: The present invention provides an electronic data document (EDD) and related system and method for use in a computerized clinical trial verification system. In an exemplary embodiment, the EDD is authenticated by the creator and validated by the receiver, and comprises an image of a source document (SD) that comprises a masked record of at least one interaction between a clinical trial investigator and a patient enrolled in a clinical trial, at least one revealed portion of the SD that includes evidence relevant to at least one question in a clinical trial questionnaire, and at least one annotation connecting the revealed portion to the at least one question. The present invention provides a computerized system and method for allowing a clinical trial investigator to answer questions from a clinical trial questionnaire pertinent to a clinical trial of a medical treatment using encrypted and partially masked electronic documents comprising images of original patient records.

Abstract: The present invention provides an electronic data document (EDD) and related system and method for use in a computerized clinical trial verification system. In an exemplary embodiment, the EDD is authenticated by the creator and validated by the receiver, and comprises an image of a source document (SD) that comprises a masked record of at least one interaction between a clinical trial investigator and a patient enrolled in a clinical trial, at least one revealed portion of the SD that includes evidence relevant to at least one question in a clinical trial questionnaire, and at least one annotation connecting the revealed portion to the at least one question. The present invention provides a computerized system and method for allowing a clinical trial investigator to answer questions from a clinical trial questionnaire pertinent to a clinical trial of a medical treatment using encrypted and partially masked electronic documents comprising images of original patient records.

Abstract: An orthopedic implant manufacturing method. The method includes preparing a pre-operative surgical plan for a specific patient, the surgical plan including a three-dimensional image of a patient's joint indicating at least one resection plane, communicating the surgical plan to a surgeon of the patient, and receiving approval of the surgical plan and the resection plane by the surgeon. The method also includes providing automated osteophyte/protrusion removal control for surgeon manipulation, receiving a modified three-dimensional image of a patient's joint indicating an osteophyte/protrusion removal and a recommendation for a corresponding selected orthopedic implant from the surgeon, and requesting manufacture of the selected orthopedic implant.

Abstract: Described is a mood aggregation system. The system includes a server having a memory storing user information and a user computing device coupled to the server. The server may be programmed to automatically generate a mood request with response capabilities and send the request to the user computing device for display in response to the user computing device accessing the system. The server may also be programmed to receive and store mood data sent from the user computing device, wherein the mood data comprises a mood selection, a time the mood data was sent and a location of the user computing device when sending the mood data. The user may send a request for a report that is received and stored in the server for a user associated with the user computing device and automatically access the stored mood data and generate a report responsive to the report request.

Abstract: A medical device includes at least one memory device storing data; a communication interface defining a first communication path to allow communications between the medical device and an external device or network; and a hardware key interface defining a second communication path that is separate from the first communication path. A hardware key is configured to be coupled to the meter via the second communication path defined by the hardware key interface. The data on the at least one memory device cannot be modified unless the hardware key interface is physically coupled to the hardware key. The hardware key may include a key code component and conducting lines, where the hardware key interface receives the key code via the conducting lines and the data on the at least one memory device cannot be modified unless the key code provided by the hardware key is validated.

Abstract: Certain examples provide systems, methods, and apparatus to provide information regarding blood collection instruments via a mobile device. An example method for blood collection instrument management includes providing a graphical representation of one or more blood collection instruments with a visual indication of a status for each instrument. The graphical representation is to visually convey information regarding each of the one or more blood collection instruments and is selectable by a user to provide additional information regarding each of the one or more blood collection instruments. The method includes facilitating access to troubleshoot and interact with the one or more blood collection instruments via the mobile device. The method includes dynamically updating the status for each instrument via communication between the mobile device and one or more blood collection facilities at which the one or more blood collection instruments are located.

Abstract: A system and method processes blood donation data for presentation on an operator interface. A handheld computing device has a touch screen display and a processing circuit to provide an icon associated with an executable application on a first display screen, the icon configured to be positioned along with icons for other executable applications on the first display screen. The processing circuit is to retrieve an indication of a need for a particular blood component, wherein the particular blood component is selected from the group comprising whole blood, double red cells and plasma. The processing circuit is to provide the indication of the need for a particular blood component to the display. The processing circuit is to provide to the touch screen display a remaining time or a date the blood donor is next eligible to donate a blood component based on a donation eligibility guideline.

Abstract: Disclosed herein are systems and methods of a digital therapy service to generate therapy regimen addressing a health condition, which may require the customer to perform various tasks and instruct devices to capture data related to the customer's therapy, including body metric measurements and information related to the number and quality of interactions between the user and aspects of the digital therapy service, sometimes referred to as “user-generated” inputs. The digital therapy service may calculate various metrics, such as scores and milestone determinations, to measure the customer's progress. The scores can be determined using dynamically generated and updated scoring models. Artificial intelligence chatbots may be used to deliver and capture information to and from customers during interactive sessions. Each customer may have a unique chatbot queue that contains the various chatbots that will be used to deliver particular aspects of the customer's therapy.

Abstract: The locations of electronic devices in an institutional facility are determined based on interaction with the wireless mobile devices of users who roam though the facility and interact with (or are detected by) the devices.

Abstract: A multi-channel recorder/encoder for collecting, integrating, synchronizing and recording medical or surgical data received as independent live or real-time data streams from a plurality of hardware units. The medical or surgical data relating to a live or real-time medical procedure. Example hardware units include a control interface, cameras, sensors, audio devices, and patient monitoring hardware. Further example systems may include a cloud based platform incorporating the encoder.

Abstract: A system and method for medical premonitory event estimation includes one or more processors to perform operations comprising: acquiring a first set of physiological information of a subject, and a second set of physiological information of the subject received during a second period of time; calculating first and second risk scores associated with estimating a risk of a potential cardiac arrhythmia event for the subject based on applying the first and second sets of physiological information to one or more machine learning classifier models, providing at least the first and second risk scores associated with the potential cardiac arrhythmia event as a time changing series of risk scores, and classifying the first and second risk scores associated with estimating the risk of the potential cardiac arrhythmia event for the subject based on the one or more thresholds.

Abstract: In a clinical decision support method, outputs of computer-implemented analytical modules are computed for a patient. Information is displayed for the patient pertaining to a clinical question comprising outputs computed for the patient of analytical modules associated with the clinical question. The analytical modules may include modules configured to perform in silico genetic/genomic tests using genetic/genome sequencing (whole genome, whole exome, whole transcriptome, targeted gene panels, etc) or microarray data. A clinical question-module matrix (CQ-M matrix) may be generated for the patient associating clinical questions with analytical modules, and the method may further include populating the clinical questions with outputs computed for the patient of the analytical modules associated with the clinical questions by the CQ-M matrix.

Abstract: A method of requesting map data by a wireless communications device entails steps of predicting a future area of interest for which map data may be required, downloading the map data for the future area of interest, and then caching the map data for the future area of interest. Cached map data is thus available for rendering when the device moves into the future area of interest, thus expediting the generation of onscreen maps. Predicting the future area of interest can be accomplished, for example, by determining the direction of travel, by identifying a roadway upon which the device user is travelling, or by identifying a programmed route in a navigation application.

Abstract: Methods for managing preparation, delivery, and recycling of a medication for a patient are provided. In one aspect, a method includes interfacing with a medication preparation component, an inventory management component, a delivery management component, and a medication recycling management component. The medication preparation component fulfills a plurality of medication orders based on a first set of parameters. The medication preparation component cannot interface directly with the parameters for the other components. The method includes providing the medication preparation component the first set of parameters based on the parameters for the other components. In another aspect, a method includes receiving a plurality of medication orders, providing preparation instructions when a medication order cannot be fulfilled by unused medications, providing delivery instructions for the medications, and receiving delivery verifications. Machine-readable media are also provided.

Abstract: A system, apparatus, and related methods for the collection, processing, evaluation, transformation, and reporting of individual health care information from diverse information systems and sources. A individual health record (IHR) of the present invention provides a structure for individuals to participate in, and manage, their health and their medical care, while still meeting the needs of health care organizations and caregivers. An IHR object may be formed by obtaining information from diverse health care information systems and sources, and transforming and re-purposing into a coherent account of the individual's overall health and care using a comprehensive health care ontology. As information from various sources is updated or available, the IHR is dynamically updated on a continuous or periodic basis.

Abstract: A method and apparatus for filtering clinical trials using machine learning techniques is disclosed. An example method generally includes receiving a first set of filters that were applied to a first plurality of clinical trials with respect to a first patient. A system determines one or more attributes of the first patient and trains a machine learning (ML) model based on the first set of filters and the one or more attributes of the first patient. The system receives a selection of a second patient, determines one or more attributes of the second patient, and generates a second set of filters by processing the one or more attributes of the second patient using the trained ML model.