Abstract: A method, computer system, and a computer program product for optimizing speech recognition in a smart medical room. The present invention may include selecting, from a database, one or more speech domain models based on a plurality of signals from a plurality of biometric sensors associated with a plurality of medical equipment, wherein the one or more speech domain models are trained with one or more feedback from a clinician based on a medical encounter and from a continuous feedback display in the smart medical room, wherein the one or more feedback from the clinician is based on an optional notification to the clinician to confirm the one or more speech models in use.

Abstract: According to a disclosed example, a first video stream is captured via a first camera associated with a first communication device engaged in a multi-party video conference. The first video stream includes a plurality of two-dimensional image frames. A subset of pixels corresponding to a first human subject is identified within each image frame of the first video stream. A second video stream is captured via a second camera associated with a second communication device engaged in the multi-party video conference. A composite video stream formed by at least a portion of the second video stream and the subset of pixels of the first video stream is rendered, and the composite video stream is output for display at one or more of the first and/or second communication devices. The composite video stream may provide the appearance of remotely located participants being physically present within the same visual scene.

Abstract: Various bone anchor assemblies and methods are provided for anchoring tissue to bone. In one embodiment, an anchor assembly for anchoring a tendon to bone is provided and includes a substantially cylindrical sheath having bone-engaging surface features formed on an external surface thereof, and having an inner lumen formed therein and extending from an open proximal end to a substantially closed distal. The substantially closed distal end includes at least one tendon anchoring feature extending distally therefrom and configured to facilitate anchoring of a tendon to bone. The anchor assembly further includes an expander having a generally elongate cylindrical configuration and being sized and shaped to be received within the inner lumen of the sheath.

Abstract: A mechanism is provided in a data processing system comprising a processor and a memory, the memory comprising instructions that are executed by the processor to specifically configure the processor to implement a cognitive analysis engine for analysis and disambiguation of electronic medical records for presentation of pertinent information for a medical treatment plan. The cognitive analysis engine receives a medical condition for a current or upcoming interaction with a patient. The cognitive analysis engine receives a medical mental model that emulates the thinking of a medical professional with regard to reviewing a patient electronic medical record (EMR) to identify pertinent information for a medical treatment plan to treat the medical condition.

Abstract: A method, computer system, and a computer program product for optimizing speech recognition in a smart medical room. The present invention may include receiving a piece of verbal data associated with a medical encounter from one or more audio recording devices. The present invention may also include accessing a plurality of signals from a plurality of biometric sensors associated with a plurality of medical equipment associated with the smart medical room based on the received piece of verbal data associated with the medical encounter. The present invention may further include selecting, from a database, one or more speech domain models based on the accessed plurality of signals from the plurality of biometric sensors associated with the plurality of medical equipment, wherein the one or more speech domain models are utilized to optimize a transcription of speech during the medical encounter in the smart medical room.

Abstract: A plurality of events are extracted from a plurality of electronic health records associated with a first patient. The extracted plurality of events are analyzed to identify a plurality of stimulus events and a plurality of response events. An association between a first stimulus event and a first response event is determined. A stimulus-response (SR) variable is generated for the first patient based at least in part on the determined association, and the generated SR variable is integrated into one or more predictive cognitive models.

Abstract: A communication augmentation agent (CAA) is described herein which presents a shared user experience to at least a first user and a second user. In one manner of operation, the CAA operates by intelligently determining. (1) when to offer a shared user experience to the users; (b) the particular form of the shared user experience; and (c) the manner of delivering the shared user experience to the users. In determining the form of the shared experience, the CAA can optionally customize the shared resource so that it includes common-interest information and, with respect to each user, user-specific information. The CAA also includes a mechanism by which a registered user may invite a non-registered user to take part in the shared user experience.

Abstract: A plurality of attributes are extracted from a plurality of electronic health records, where each electronic health record is associated with a patient in a plurality of patients. Additionally, a training data set and a scoring data set are generated based on the plurality of attributes, and a patient similarity model is trained based on the training data set. A precision cohort is identified, where the precision cohort includes patients in the plurality of patients from the scoring data set that are similar to a first patient based on an electronic health record of the first patient and the similarity model. At least one result statistic for each of a plurality of treatments given to patients in the precision cohort is determined, and a first treatment of the plurality of treatments is selected for the first patient based at least in part on the determined result statistics.

Abstract: Mechanisms are provided for presentation of pertinent information for a medical treatment plan. The mechanisms receive a medical condition for an interaction with a patient, and a medical mental model that emulates thinking of a medical professional with regard to reviewing a patient electronic medical record (EMR) to identify pertinent information for a medical treatment plan to treat the medical condition based on categorizations of elements in the patient EMR. The mechanisms analyze the EMR for the patient to identify a portion of the EMR relevant to the medical treatment plan using the categorizations, and analyze the identified portion of the EMR to extract relevant patient information that is directed to the medical treatment plan for the medical condition based on the categorizations. The mechanisms generate and output a cognitive summary correlating the extracted relevant patient information and the medical treatment plan in association with the medical condition.

Abstract: Various systems and methods for streaming an impromptu community are described herein. In one example, a system for streaming impromptu communities includes a data storage device, a community analyzer, and a publisher. In an example, the data storage device can store a number of incoming data sets, wherein each data set identifies a time and location for the origin of the data, a media instance, and an identification of an origin device or origin user. In an example, the community analyzer can operate from the data storage device to use a processor in order to calculate an IC boundary and generate an impromptu community (IC) indicator based on the proximity and temporality of the number of incoming data sets. In an example, the processor can modify the number of data sets to include the IC indicator.

Abstract: A surgical filament snare assembly including an anchor capable of being fixated in bone and having a filament engagement feature. A first filament has a noose on a first portion of at least a first limb and has a second portion connected to the filament engagement feature of the anchor. Preferably, at least one free filament limb, which in some embodiments is a length of the first filament and in other embodiments is a second filament, is capable of being passed through tissue to be repaired and has at least one end passable through the noose to enable incremental tensioning of the tissue after the anchor is fixated in bone. The noose strangulates the free filament limb when tension is applied to at least one of the free filament limb and the noose.

Abstract: A mechanism is provided for presenting contextually relevant patient data in relation to other patients in a graphical user interface. Using a medical condition associated with a patient and a current treatment being followed by the patient, a cohort of similar patients with the same medical condition are identified. For each of the patients in the cohort, a set of next treatments are identified for those patients that stopped the current treatment and followed a next treatment. For each next treatment followed by a patent in the cohort of similar patients, a determination is made as to whether the next treatment controlled or failed to control the same medical condition for the patient. Then a presentation is provided indicating the set of next treatments, a number of patients following each next treatment, whether each treatment controlled or failed to control the same medical condition, and a statistical significance.

Abstract: A mechanism is provided in a data processing system comprising a processor and a memory, the memory comprising instructions that are executed by the processor to specifically configure the processor to implement a cognitive analysis engine for evaluating completeness of electronic medical record data sources. The cognitive analysis engine executing in the data processing system analyzes a plurality of patient electronic medical records (EMRs) from one or more EMR sources to determine whether each EMR in the plurality of patient EMRs satisfies a plurality of tests. Each test determines whether the EMR includes a set of attributes or portions of EMR data. The cognitive analysis engine generates a set of patient EMRs for each test in the plurality of tests based on results of the analysis. Each set of patient EMRs includes EMRs in the plurality of patient EMRs that satisfy the corresponding test. The cognitive analysis engine generates a diagram data structure, representing sets and their relationships.

Abstract: A mechanism is provided in a data processing system comprising a processor and a memory, the memory comprising instructions that are executed by the processor to specifically configure the processor to implement a question prediction and answering engine for predicting questions a medical professional is attempting to answer. An interaction monitoring component monitors interaction of a medical professional with a patient electronic medical record (EMR). A question selection component selects a set of questions the medical professional is attempting to obtain an answer to from the patient EMR. The question prediction and answering engine analyzes the patient EMR to generate a set of answers to the set of questions from at least a portion of the patient EMR and outputs a report correlating the set of questions and the set of answers to the medical professional.

Abstract: A mechanism is provided in a data processing system comprising a processor and a memory, the memory comprising instructions that are executed by the processor to specifically configure the processor to implement a relevant information graphical presentation engine for providing a graphical user interface (GUI) that presents information from a patient electronic medical record (EMR). The relevant information graphical presentation engine identifies an outcome a healthcare professional is attempting to control for a current or upcoming interaction with a patient and generates a GUI presenting patient EMR data pertinent to the outcome from the patient EMR. The relevant information graphical presentation engine determines a set of prototypical questions for the outcome and information from the patient EMR pertinent to the outcome and determines a set of answers to the set of prototypical questions in the patient EMR.

Abstract: A mechanism is provided in a data processing system comprising a processor and a memory, the memory comprising instructions that are executed by the processor to specifically configure the processor to implement a cognitive analysis engine for evaluating completeness of electronic medical record data sources. The cognitive analysis engine executing in the data processing system analyzes a plurality of patient electronic medical records (EMRs) from one or more EMR sources to determine whether each EMR in the plurality of patient EMRs satisfies a plurality of tests. Each test determines whether the EMR includes a set of attributes or portions of EMR data. The cognitive analysis engine generates a set of patient EMRs for each test in the plurality of tests based on results of the analysis. Each set of patient EMRs includes EMRs in the plurality of patient EMRs that satisfy the corresponding test. The cognitive analysis engine generates a diagram data structure, representing sets and their relationships.

Abstract: A mechanism is provided in a data processing system comprising a processor and a memory, the memory comprising instructions that are executed by the processor to specifically configure the processor to implement a relevant information graphical presentation engine for providing a graphical user interface (GUI) that presents information from a patient electronic medical record (EMR). The relevant information graphical presentation engine generates a GUI presenting patient EMR data pertinent to a condition of the patient. The relevant information graphical presentation engine identifies a change in treatment recorded in the patient EMR, submits a question to a healthcare cognitive system to query the patient EMR for a reason for the change in treatment, and receives at least one answer from the healthcare cognitive system identifying of a reason portion of the patient EMR that provides a reason for the change in treatment.

Abstract: Disclosed is a centering-blocking apparatus (1) including: a frame (10); an ophthalmic lens holder (20); a blocking unit (30) suitable for receiving a blocking accessory (200) with a view to depositing it on the ophthalmic lens; and a centering unit (40) suitable for revealing a reference system of the ophthalmic lens. According to an embodiment, the blocking unit is fixedly mounted on the frame whereas the holder is movably mounted on the frame.

Abstract: A surgical filament snare assembly including an anchor capable of being fixated in bone and having a filament engagement feature. A first filament has a noose on a first portion of at least a first limb and has a second portion connected to the filament engagement feature of the anchor. Preferably, at least one free filament limb, which in some embodiments is a length of the first filament and in other embodiments is a second filament, is capable of being passed through tissue to be repaired and has at least one end passable through the noose to enable incremental tensioning of the tissue after the anchor is fixated in bone. The noose strangulates the free filament limb when tension is applied to at least one of the free filament limb and the noose.

Abstract: The present invention shows that intranasal administration of E1/E3-defective adenovirus particles may confer rapid and broad protection against viral and bacterial pathogens in a variety of disease settings. Protective responses lasted for many weeks in a single-dose regimen in animal models. When a pathogen-derived antigen gene was inserted into the E1/E3-defective adenovirus genome, the antigen-induced protective immunity against the specific pathogen was elicited before the adenovirus-mediated protective response declined away, thus conferring rapid, prolonged, and seamless protection against pathogens. In addition to E1/E3-defective adenovirus, other bioengineered non-replicating vectors encoding pathogen-derived antigens may also be developed into a new generation of rapid and prolonged immunologic-therapeutic (RAPIT).